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Theses & Dissertations: Cancer Research

Theses/dissertations from 2024 2024.

Novel Spirocyclic Dimer (SpiD3) Displays Potent Preclinical Effects in Hematological Malignancies , Alexandria Eiken

Dying Right: Supporting Anti-Cancer Therapy Through Immunogenic Cell Death , Elizabeth Schmitz

Therapeutic Effects of BET Protein Inhibition in B-cell Malignancies and Beyond , Audrey L. Smith

Identifying the Molecular Determinants of Lung Metastatic Adaptation in Prostate Cancer , Grace M. Waldron

Identification of Mitotic Phosphatases and Cyclin K as Novel Molecular Targets in Pancreatic Cancer , Yi Xiao

Theses/Dissertations from 2023 2023

Development of Combination Therapy Strategies to Treat Cancer Using Dihydroorotate Dehydrogenase Inhibitors , Nicholas Mullen

Overcoming Resistance Mechanisms to CDK4/6 Inhibitor Treatment Using CDK6-Selective PROTAC , Sarah Truong

Theses/Dissertations from 2022 2022

Omics Analysis in Cancer and Development , Emalie J. Clement

Investigating the Role of Splenic Macrophages in Pancreatic Cancer , Daisy V. Gonzalez

Polymeric Chloroquine in Metastatic Pancreatic Cancer Therapy , Rubayat Islam Khan

Evaluating Targets and Therapeutics for the Treatment of Pancreatic Cancer , Shelby M. Knoche

Characterization of 1,1-Diarylethylene FOXM1 Inhibitors Against High-Grade Serous Ovarian Carcinoma Cells , Cassie Liu

Novel Mechanisms of Protein Kinase C α Regulation and Function , Xinyue Li

SOX2 Dosage Governs Tumor Cell Identity and Proliferation , Ethan P. Metz

Post-Transcriptional Control of the Epithelial-to-Mesenchymal Transition (EMT) in Ras-Driven Colorectal Cancers , Chaitra Rao

Use of Machine Learning Algorithms and Highly Multiplexed Immunohistochemistry to Perform In-Depth Characterization of Primary Pancreatic Tumors and Metastatic Sites , Krysten Vance

Characterization of Metastatic Cutaneous Squamous Cell Carcinoma in the Immunosuppressed Patient , Megan E. Wackel

Visceral adipose tissue remodeling in pancreatic ductal adenocarcinoma cachexia: the role of activin A signaling , Pauline Xu

Phos-Tag-Based Screens Identify Novel Therapeutic Targets in Ovarian Cancer and Pancreatic Cancer , Renya Zeng

Theses/Dissertations from 2021 2021

Functional Characterization of Cancer-Associated DNA Polymerase ε Variants , Stephanie R. Barbari

Pancreatic Cancer: Novel Therapy, Research Tools, and Educational Outreach , Ayrianne J. Crawford

Apixaban to Prevent Thrombosis in Adult Patients Treated With Asparaginase , Krishna Gundabolu

Molecular Investigation into the Biologic and Prognostic Elements of Peripheral T-cell Lymphoma with Regulators of Tumor Microenvironment Signaling Explored in Model Systems , Tyler Herek

Utilizing Proteolysis-Targeting Chimeras to Target the Transcriptional Cyclin-Dependent Kinases 9 and 12 , Hannah King

Insights into Cutaneous Squamous Cell Carcinoma Pathogenesis and Metastasis Using a Bedside-to-Bench Approach , Marissa Lobl

Development of a MUC16-Targeted Near-Infrared Antibody Probe for Fluorescence-Guided Surgery of Pancreatic Cancer , Madeline T. Olson

FGFR4 glycosylation and processing in cholangiocarcinoma promote cancer signaling , Andrew J. Phillips

Theses/Dissertations from 2020 2020

Cooperativity of CCNE1 and FOXM1 in High-Grade Serous Ovarian Cancer , Lucy Elge

Characterizing the critical role of metabolic and redox homeostasis in colorectal cancer , Danielle Frodyma

Genomic and Transcriptomic Alterations in Metabolic Regulators and Implications for Anti-tumoral Immune Response , Ryan J. King

Dimers of Isatin Derived Spirocyclic NF-κB Inhibitor Exhibit Potent Anticancer Activity by Inducing UPR Mediated Apoptosis , Smit Kour

From Development to Therapy: A Panoramic Approach to Further Our Understanding of Cancer , Brittany Poelaert

The Cellular Origin and Molecular Drivers of Claudin-Low Mammary Cancer , Patrick D. Raedler

Mitochondrial Metabolism as a Therapeutic Target for Pancreatic Cancer , Simon Shin

Development of Fluorescent Hyaluronic Acid Nanoparticles for Intraoperative Tumor Detection , Nicholas E. Wojtynek

Theses/Dissertations from 2019 2019

The role of E3 ubiquitin ligase FBXO9 in normal and malignant hematopoiesis , R. Willow Hynes-Smith

BRCA1 & CTDP1 BRCT Domainomics in the DNA Damage Response , Kimiko L. Krieger

Targeted Inhibition of Histone Deacetyltransferases for Pancreatic Cancer Therapy , Richard Laschanzky

Human Leukocyte Antigen (HLA) Class I Molecule Components and Amyloid Precursor-Like Protein 2 (APLP2): Roles in Pancreatic Cancer Cell Migration , Bailee Sliker

Theses/Dissertations from 2018 2018

FOXM1 Expression and Contribution to Genomic Instability and Chemoresistance in High-Grade Serous Ovarian Cancer , Carter J. Barger

Overcoming TCF4-Driven BCR Signaling in Diffuse Large B-Cell Lymphoma , Keenan Hartert

Functional Role of Protein Kinase C Alpha in Endometrial Carcinogenesis , Alice Hsu

Functional Signature Ontology-Based Identification and Validation of Novel Therapeutic Targets and Natural Products for the Treatment of Cancer , Beth Neilsen

Elucidating the Roles of Lunatic Fringe in Pancreatic Ductal Adenocarcinoma , Prathamesh Patil

Theses/Dissertations from 2017 2017

Metabolic Reprogramming of Pancreatic Ductal Adenocarcinoma Cells in Response to Chronic Low pH Stress , Jaime Abrego

Understanding the Relationship between TGF-Beta and IGF-1R Signaling in Colorectal Cancer , Katie L. Bailey

The Role of EHD2 in Triple-Negative Breast Cancer Tumorigenesis and Progression , Timothy A. Bielecki

Perturbing anti-apoptotic proteins to develop novel cancer therapies , Jacob Contreras

Role of Ezrin in Colorectal Cancer Cell Survival Regulation , Premila Leiphrakpam

Evaluation of Aminopyrazole Analogs as Cyclin-Dependent Kinase Inhibitors for Colorectal Cancer Therapy , Caroline Robb

Identifying the Role of Janus Kinase 1 in Mammary Gland Development and Breast Cancer , Barbara Swenson

DNMT3A Haploinsufficiency Provokes Hematologic Malignancy of B-Lymphoid, T-Lymphoid, and Myeloid Lineage in Mice , Garland Michael Upchurch

Theses/Dissertations from 2016 2016

EHD1 As a Positive Regulator of Macrophage Colony-Stimulating Factor-1 Receptor , Luke R. Cypher

Inflammation- and Cancer-Associated Neurolymphatic Remodeling and Cachexia in Pancreatic Ductal Adenocarcinoma , Darci M. Fink

Role of CBL-family Ubiquitin Ligases as Critical Negative Regulators of T Cell Activation and Functions , Benjamin Goetz

Exploration into the Functional Impact of MUC1 on the Formation and Regulation of Transcriptional Complexes Containing AP-1 and p53 , Ryan L. Hanson

DNA Polymerase Zeta-Dependent Mutagenesis: Molecular Specificity, Extent of Error-Prone Synthesis, and the Role of dNTP Pools , Olga V. Kochenova

Defining the Role of Phosphorylation and Dephosphorylation in the Regulation of Gap Junction Proteins , Hanjun Li

Molecular Mechanisms Regulating MYC and PGC1β Expression in Colon Cancer , Jamie L. McCall

Pancreatic Cancer Invasion of the Lymphatic Vasculature and Contributions of the Tumor Microenvironment: Roles for E-selectin and CXCR4 , Maria M. Steele

Altered Levels of SOX2, and Its Associated Protein Musashi2, Disrupt Critical Cell Functions in Cancer and Embryonic Stem Cells , Erin L. Wuebben

Theses/Dissertations from 2015 2015

Characterization and target identification of non-toxic IKKβ inhibitors for anticancer therapy , Elizabeth Blowers

Effectors of Ras and KSR1 dependent colon tumorigenesis , Binita Das

Characterization of cancer-associated DNA polymerase delta variants , Tony M. Mertz

A Role for EHD Family Endocytic Regulators in Endothelial Biology , Alexandra E. J. Moffitt

Biochemical pathways regulating mammary epithelial cell homeostasis and differentiation , Chandrani Mukhopadhyay

EPACs: epigenetic regulators that affect cell survival in cancer. , Catherine Murari

Role of the C-terminus of the Catalytic Subunit of Translesion Synthesis Polymerase ζ (Zeta) in UV-induced Mutagensis , Hollie M. Siebler

LGR5 Activates TGFbeta Signaling and Suppresses Metastasis in Colon Cancer , Xiaolin Zhou

LGR5 Activates TGFβ Signaling and Suppresses Metastasis in Colon Cancer , Xiaolin Zhou

Theses/Dissertations from 2014 2014

Genetic dissection of the role of CBL-family ubiquitin ligases and their associated adapters in epidermal growth factor receptor endocytosis , Gulzar Ahmad

Strategies for the identification of chemical probes to study signaling pathways , Jamie Leigh Arnst

Defining the mechanism of signaling through the C-terminus of MUC1 , Roger B. Brown

Targeting telomerase in human pancreatic cancer cells , Katrina Burchett

The identification of KSR1-like molecules in ras-addicted colorectal cancer cells , Drew Gehring

Mechanisms of regulation of AID APOBEC deaminases activity and protection of the genome from promiscuous deamination , Artem Georgievich Lada

Characterization of the DNA-biding properties of human telomeric proteins , Amanda Lakamp-Hawley

Studies on MUC1, p120-catenin, Kaiso: coordinate role of mucins, cell adhesion molecules and cell cycle players in pancreatic cancer , Xiang Liu

Epac interaction with the TGFbeta PKA pathway to regulate cell survival in colon cancer , Meghan Lynn Mendick

Theses/Dissertations from 2013 2013

Deconvolution of the phosphorylation patterns of replication protein A by the DNA damage response to breaks , Kerry D. Brader

Modeling malignant breast cancer occurrence and survival in black and white women , Michael Gleason

The role of dna methyltransferases in myc-induced lymphomagenesis , Ryan A. Hlady

Design and development of inhibitors of CBL (TKB)-protein interactions , Eric A. Kumar

Pancreatic cancer-associated miRNAs : expression, regulation and function , Ashley M. Mohr

Mechanistic studies of mitochondrial outer membrane permeabilization (MOMP) , Xiaming Pang

Novel roles for JAK2/STAT5 signaling in mammary gland development, cancer, and immune dysregulation , Jeffrey Wayne Schmidt

Optimization of therapeutics against lethal pancreatic cancer , Joshua J. Souchek

Theses/Dissertations from 2012 2012

Immune-based novel diagnostic mechanisms for pancreatic cancer , Michael J. Baine

Sox2 associated proteins are essential for cell fate , Jesse Lee Cox

KSR2 regulates cellular proliferation, transformation, and metabolism , Mario R. Fernandez

Discovery of a novel signaling cross-talk between TPX2 and the aurora kinases during mitosis , Jyoti Iyer

Regulation of metabolism by KSR proteins , Paula Jean Klutho

The role of ERK 1/2 signaling in the dna damage-induced G2 , Ryan Kolb

Regulation of the Bcl-2 family network during apoptosis induced by different stimuli , Hernando Lopez

Studies on the role of cullin3 in mitosis , Saili Moghe

Characteristics of amyloid precursor-like protein 2 (APLP2) in pancreatic cancer and Ewing's sarcoma , Haley Louise Capek Peters

Structural and biophysical analysis of a human inosine triphosphate pyrophosphatase polymorphism , Peter David Simone

Functions and regulation of Ron receptor tyrosine kinase in human pancreatic cancer and its therapeutic applications , Yi Zou

Theses/Dissertations from 2011 2011

Coordinate detection of new targets and small molecules for cancer therapy , Kurt Fisher

The role of c-Myc in pancreatic cancer initiation and progression , Wan-Chi Lin

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Technological Advancements in Cancer Diagnosis and Prognosis

Living reference work entry
First Online: 27 September 2023
Cite this living reference work entry

Pushpa Reddy 4 ,
Pradyumn Singh 5 ,
Shruti R. Kuril 6 ,
Arti Priyadarshini 6 ,
Sunil Babu Gosipatala 6 ,
Gyan Chand 7 ,
Venkatesh Kumar R. 8 ,
Tejinder Kaur 9 ,
Manish Thakur 10 &
Ranbir Chander Sobti 11

47 Accesses

Cancer diagnostics and prognosis, propelled by cutting-edge technologies, navigates the evolution from traditional methods to innovative approaches that revolutionize how we detect and predict cancer. The discussion encompasses various facets of modern diagnosis, starting with fluid biopsy and molecular profiling, which offer noninvasive insights into cancer’s molecular signatures. Next-generation sequencing opens windows into the genetic landscape, facilitating personalized treatment strategies. The role of MRI as a robust diagnostic tool is explored, while advanced sensing systems like electrochemiluminescence (ECL) nanosensors and aptasensors present novel avenues for early detection. Beyond diagnostics, the chapter delves into staging and grading, vital components for prognosis. The significance of the TNM staging system is highlighted. As precision medicine becomes central, these staging methods empower clinicians to tailor interventions and anticipate disease progression accurately. This exploration underscores the critical role of innovation in elevating diagnostic accuracy, patient care, and prognostic precision, thus paving the way for more effective and personalized cancer treatments.

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Authors and affiliations.

Department of Biochemistry, Indian Academy Degree College- Autonomous, Bangalore, India

Pushpa Reddy

Department of Pathology, Ram ManoharLohia Institute of Medical Sciences, Lucknow, India

Pradyumn Singh

Department of Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India

Shruti R. Kuril, Arti Priyadarshini & Sunil Babu Gosipatala

Department of Endocrine Surgery, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India

Department of Zoology, Babasaheb Bhimrao Ambedkar University, Lucknow, India

Venkatesh Kumar R.

Department of Zoology, DAV University, Jalandhar, India

Tejinder Kaur

Department of Microbiology, School of Bio Engineering and Biosciences, Lovely Professional University, Phagwara, India

Manish Thakur

Department of Biotechnology, Punjab University, Chandigarh, India

Ranbir Chander Sobti

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Correspondence to Sunil Babu Gosipatala .

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Dept. Biotechnology, Panjab University, Chandigarh, Chandigarh, India

R. C. Sobti

NCR Biotech Science Cluster, Translational Health Sci & Tech Inst, Faridabad, Haryana, India

Nirmal K. Ganguly

Cancer Research Institute, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun, Uttarakhand, India

Rakesh Kumar

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Department of Biotechnology, Panjab University Chandigarh, Chandigarh, India

Swami Rama Himalayan University, Dehradun, Kerala, India

NCR Biotech Science Cluster, Translational Health Science and Technology Institute, Faridabad, India

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Reddy, P. et al. (2024). Technological Advancements in Cancer Diagnosis and Prognosis. In: Sobti, R.C., Ganguly, N.K., Kumar, R. (eds) Handbook of Oncobiology: From Basic to Clinical Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-99-2196-6_81-1

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DOI : https://doi.org/10.1007/978-981-99-2196-6_81-1

Received : 30 August 2023

Accepted : 30 August 2023

Published : 27 September 2023

Publisher Name : Springer, Singapore

Print ISBN : 978-981-99-2196-6

Online ISBN : 978-981-99-2196-6

eBook Packages : Springer Reference Biomedicine and Life Sciences Reference Module Biomedical and Life Sciences

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Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Affiliations.

1 Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy. [email protected].
2 Department of Mechanical and Aerospace Engineering (DIMA), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
3 Department of Basic and Applied Science for Engineering (SBAI), Sapienza University of Rome, Via Antonio Scarpa 14/16, 00161 Rome, Italy.
4 Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
PMID: 31450799
PMCID: PMC6770116
DOI: 10.3390/cancers11091235

In this paper, we first describe the basics of the field of cancer diagnosis, which includes steps of cancer diagnosis followed by the typical classification methods used by doctors, providing a historical idea of cancer classification techniques to the readers. These methods include Asymmetry, Border, Color and Diameter (ABCD) method, seven-point detection method, Menzies method, and pattern analysis. They are used regularly by doctors for cancer diagnosis, although they are not considered very efficient for obtaining better performance. Moreover, considering all types of audience, the basic evaluation criteria are also discussed. The criteria include the receiver operating characteristic curve (ROC curve), Area under the ROC curve (AUC), F1 score, accuracy, specificity, sensitivity, precision, dice-coefficient, average accuracy, and Jaccard index. Previously used methods are considered inefficient, asking for better and smarter methods for cancer diagnosis. Artificial intelligence and cancer diagnosis are gaining attention as a way to define better diagnostic tools. In particular, deep neural networks can be successfully used for intelligent image analysis. The basic framework of how this machine learning works on medical imaging is provided in this study, i.e., pre-processing, image segmentation and post-processing. The second part of this manuscript describes the different deep learning techniques, such as convolutional neural networks (CNNs), generative adversarial models (GANs), deep autoencoders (DANs), restricted Boltzmann's machine (RBM), stacked autoencoders (SAE), convolutional autoencoders (CAE), recurrent neural networks (RNNs), long short-term memory (LTSM), multi-scale convolutional neural network (M-CNN), multi-instance learning convolutional neural network (MIL-CNN). For each technique, we provide Python codes, to allow interested readers to experiment with the cited algorithms on their own diagnostic problems. The third part of this manuscript compiles the successfully applied deep learning models for different types of cancers. Considering the length of the manuscript, we restrict ourselves to the discussion of breast cancer, lung cancer, brain cancer, and skin cancer. The purpose of this bibliographic review is to provide researchers opting to work in implementing deep learning and artificial neural networks for cancer diagnosis a knowledge from scratch of the state-of-the-art achievements.

Keywords: convolutional neural networks (CNNs); deep autoencoders (DANs); deep learning; generative adversarial models (GANs); long short-term memory (LTSM); recurrent neural networks (RNNs); restricted Boltzmann’s machine (RBM).

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The authors declared no conflict of interest.

Summary of typically used skin…

Summary of typically used skin cancer classification methods.

Artificial Neural Networks (ANNs).

General convolutional neural networks.

Fully convolutional neural networks.

Autoencoders.

Deep belief networks (DBNs).

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Machine learning for cancer detection, grading, and...

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Ubc theses and dissertations, machine learning for cancer detection, grading, and prognosis : automated segmentation, patterning recognition, and al-based analysis zarei, nilgoon --> -->.

In this thesis, we presented the design steps for developing new, reliable, and cost-effective diagnostic and prognostic tools for cancer using advanced Machine Learning (ML) techniques. We proposed tools to improve the diagnostic, prognostic and detection accuracy of quantitative digital pathology by incorporating advanced image analysis, image processing, and classification methods. In this thesis we presented our ML image-based analytic approaches for three cancer types (prostate, cervix, and kidney) with different scale ranges from the sub-micron to multiple centimeters. In this thesis, we demonstrated the full workflow to design an automated prognostic and grading system specially designed for prostate cancer. We started with demonstrating techniques for prostate glandular structures detection. Next, we introduced an automated cell segmentation method along with an interactive segmentation correction method requiring minimum user-interaction and finally, we introduced our ML classification algorithms. We trained our ML method on the features extracted from cells/nuclei that were segmented via our proposed techniques. Next, we studied renal carcinoma. We presented the workflow of renal carcinoma classification from image processing to feature selection and development of machine learning classification techniques. We extracted the features from renal vessel structures and demonstrated the design steps of machine learning classifiers to discriminate between different renal carcinoma subtypes using these features. The last cancer site studied was the cervix. We applied our techniques for cervical pre-cancer abnormality detection. We showed the whole pipeline of designing an automated classification method starting from tissue imaging to the development of ML classifiers using both classical and deep-learning methods. Although we conducted these studies on specific cancer types, a modified version of our algorithm could be applied to other cancers and disease sites. These techniques have great potential to improve the healthcare environment by providing extra information/second opinion to the medical experts or to be used as a part of the first line of a screening program.

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Published: 19 June 2024

Why do patients with cancer die?

Adrienne Boire ORCID: orcid.org/0000-0002-9029-1248 1 na1 ,
Katy Burke 2 na1 ,
Thomas R. Cox ORCID: orcid.org/0000-0001-9294-1745 3 , 4 na1 ,
Theresa Guise 5 na1 ,
Mariam Jamal-Hanjani 6 , 7 , 8 na1 ,
Tobias Janowitz ORCID: orcid.org/0000-0002-7820-3727 9 , 10 na1 ,
Rosandra Kaplan 11 na1 ,
Rebecca Lee ORCID: orcid.org/0000-0003-2540-2009 12 , 13 na1 ,
Charles Swanton ORCID: orcid.org/0000-0002-4299-3018 7 , 8 , 14 na1 ,
Matthew G. Vander Heiden ORCID: orcid.org/0000-0002-6702-4192 15 , 16 na1 &
Erik Sahai ORCID: orcid.org/0000-0002-3932-5086 12 na1

Nature Reviews Cancer ( 2024 ) Cite this article

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Cancer models
Cancer therapy

Cancer is a major cause of global mortality, both in affluent countries and increasingly in developing nations. Many patients with cancer experience reduced life expectancy and have metastatic disease at the time of death. However, the more precise causes of mortality and patient deterioration before death remain poorly understood. This scarcity of information, particularly the lack of mechanistic insights, presents a challenge for the development of novel treatment strategies to improve the quality of, and potentially extend, life for patients with late-stage cancer. In addition, earlier deployment of existing strategies to prolong quality of life is highly desirable. In this Roadmap, we review the proximal causes of mortality in patients with cancer and discuss current knowledge about the interconnections between mechanisms that contribute to mortality, before finally proposing new and improved avenues for data collection, research and the development of treatment strategies that may improve quality of life for patients.

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Acknowledgements

A.B. is funded by National Institutes of Health/National Cancer Institute P30 CA008748 and R01-CA245499. K.B. is employed by the UK National Health Service. T.R.C. acknowledges funding support from the National Health and Medical Research Council (NHMRC) Ideas (2000937), Project (1129766, 1140125), Development (2013881) and Fellowship (1158590) schemes, a Cancer Institute NSW Career Development Fellowship (CDF171105), Cancer Council NSW project support (RG19-09, RG23-11) and Susan G. Komen for the Cure (CCR17483294). T.G. is funded by the Cancer Prevention and Research Institute of Texas Grant 00011633. M.J.-H. has received funding from CRUK, NIH National Cancer Institute, IASLC International Lung Cancer Foundation, Lung Cancer Research Foundation, Rosetrees Trust, UKI NETs and NIHR. T.J. acknowledges funding from Cancer Grand Challenges (NIH: 1OT2CA278690-01; CRUK: CGCATF-2021/100019), the Mark Foundation for Cancer Research (20-028-EDV), the Osprey Foundation, Fortune Footwear, Cold Spring Harbour Laboratory (CSHL) and developmental funds from CSHL Cancer Center Support Grant 5P30CA045508. R.K. is funded by the Intramural Research Program, the National Cancer Institute, NIH Clinical Center and the National Institutes of Health (NIH NCI ZIABC011332-06 and NIH NCI ZIABC011334-10). R.L. is supported by a Wellcome Early Career Investigator Award (225724/Z/22/Z). E.S. is supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK (CC2040), the UK Medical Research Council (CC2040) and the Wellcome Trust (CC2040) and the European Research Council (ERC Advanced Grant CAN_ORGANISE, Grant agreement number 101019366). E.S. reports personal grants from Mark Foundation and the European Research Council. C.S. is a Royal Society Napier Research Professor (RSRP\R\210001). His work is supported by the Francis Crick Institute that receives its core funding from Cancer Research UK (CC2041), the UK Medical Research Council (CC2041) and the Wellcome Trust (CC2041) and the European Research Council under the European Union’s Horizon 2020 research and innovation programme (ERC Advanced Grant PROTEUS Grant agreement number 835297). M.G.V.H. reports support from the Lustgarten Foundation, the MIT Center for Precision Cancer Medicine, the Ludwig Center at MIT and NIH grants R35 CA242379 and P30 CA1405141.

Author information

These authors contributed equally: Adrienne Boire, Katy Burke, Thomas R. Cox, Theresa Guise, Mariam Jamal-Hanjani, Tobias Janowitz, Rosandra Kaplan, Rebecca Lee, Charles Swanton, Matthew G. Vander Heiden, Erik Sahai.

Authors and Affiliations

Memorial Sloan Kettering Cancer Center, New York, NY, USA

Adrienne Boire

University College London Hospitals NHS Foundation Trust and Central and North West London NHS Foundation Trust Palliative Care Team, London, UK

Cancer Ecosystems Program, The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia

Thomas R. Cox

School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, UNSW Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia

Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

Theresa Guise

Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK

Mariam Jamal-Hanjani

Department of Oncology, University College London Hospitals, London, UK

Mariam Jamal-Hanjani & Charles Swanton

Cancer Research UK Lung Centre of Excellence, University College London Cancer Institute, London, UK

Cold Spring Harbour Laboratory, Cold Spring Harbour, New York, NY, USA

Tobias Janowitz

Northwell Health Cancer Institute, New York, NY, USA

Paediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

Rosandra Kaplan

Tumour Cell Biology Laboratory, The Francis Crick Institute, London, UK

Rebecca Lee & Erik Sahai

Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

Rebecca Lee

Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK

Charles Swanton

Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA

Matthew G. Vander Heiden

Dana-Farber Cancer Institute, Boston, MA, USA

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Contributions

All authors researched data for the article. A.B., K.B., T.R.C., T.G., T.J., C.S., M.G.V.H, R.K., M.J.-H. and E.S. contributed substantially to discussion of the content. T.C., R.L. and E.S. wrote the article. All authors reviewed and/or edited the manuscript before submission.

Corresponding authors

Correspondence to Thomas R. Cox or Erik Sahai .

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Competing interests.

A.B. is an inventor on pending patents 63/449,817, 63/052,139 as well as awarded patents 11,305,014 and 10,413,522; all issued to the Sloan Kettering Institute. She has received personal fees from Apelis Pharmaceuticals and serves as an unpaid member of the Evren Technologies SAB. K.B., T.R.C., T.G., T.J. and R.K. declare no competing interests. M.J.-H. reports support from Achilles Therapeutics Scientific Advisory Board and Steering Committee, Pfizer, Astex Pharmaceuticals, Oslo Cancer Cluster and Bristol Myers Squibb outside the submitted work. R.L. reports personal fees from Pierre Fabre and has research funding from BMS, Astra Zeneca and Pierre Fabre outside the submitted work. E.S. reports grants from Novartis, Merck Sharp Dohme, AstraZeneca and personal fees from Phenomic outside the submitted work. C.S. reports grants and personal fees from Bristol Myers Squibb, AstraZeneca, Boehringer-Ingelheim, Roche-Ventana, personal fees from Pfizer, grants from Ono Pharmaceutical, Personalis, grants, personal fees and other support from GRAIL, other support from AstraZeneca and GRAIL, personal fees and other support from Achilles Therapeutics, Bicycle Therapeutics, personal fees from Genentech, Medixci, China Innovation Centre of Roche (CiCoR) formerly Roche Innovation Centre, Metabomed, Relay Therapeutics, Saga Diagnostics, Sarah Canon Research Institute, Amgen, GlaxoSmithKline, Illumina, MSD, Novartis, other support from Apogen Biotechnologies and Epic Bioscience outside the submitted work; in addition, C.S. has a patent for PCT/US2017/028013 licensed to Natera Inc., UCL Business, a patent for PCT/EP2016/059401 licensed to Cancer Research Technology, a patent for PCT/EP2016/071471 issued to Cancer Research Technology, a patent for PCT/GB2018/051912 pending, a patent for PCT/GB2018/052004 issued to Francis Crick Institute, University College London, Cancer Research Technology Ltd, a patent for PCT/GB2020/050221 issued to Francis Crick Institute, University College London, a patent for PCT/EP2022/077987 pending to Cancer Research Technology, a patent for PCT/GB2017/053289 licensed, a patent for PCT/EP2022/077987 pending to Francis Crick Institute, a patent for PCT/EP2023/059039 pending to Francis Crick Institute and a patent for PCT/GB2018/051892 pending to Francis Crick Institute. C.S. is Co-chief Investigator of the NHS Galleri trial funded by GRAIL. He is Chief Investigator for the AstraZeneca MeRmaiD I and II clinical trials and Chair of the Steering Committee. C.S. is cofounder of Achilles Therapeutics and holds stock options. M.G.V.H. is a scientific adviser for Agios Pharmaceuticals, iTeos Therapeutics, Sage Therapeutics, Faeth Therapeutics, Droia Ventures and Auron Therapeutics on topics unrelated to the presented work.

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An autoimmune encephalitis characterized by complex neuropsychiatric features and the presence of immunoglobulin G (IgG) antibodies against the NR1 subunit of the NMDA receptors in the central nervous system.

Partial collapse or incomplete inflation of the lung.

Pressure-induced movement of brain tissue.

An ageing-associated process in which haematopoiesis becomes dominated by one or a small number of genetically distinct stem or progenitor cells. Clonal haematopoiesis is linked to an increased risk of haematological malignancies.

Inability of the heart to pump blood properly.

Constriction of the arteries that supply blood to the heart.

(CRH). One of the major factors that drives the response of the body to stress.

(DIC). A rare but serious condition in which abnormal blood clotting occurs throughout the blood vessels of the body.

Inflammation of the brain.

An abnormal connection that forms between two body parts, such as an organ or blood vessel and another often unrelated structure in close proximity.

A rare disorder in which the immune system of a body attacks the nerves, which can lead to paralysis.

The stopping of flow of blood, typically associated with the bodies response to prevent and stop bleeding.

A build-up of fluid within the cavities of the brain.

Elevated calcium levels in the blood, often caused by overactive parathyroid glands. Hypercalcaemia is linked to kidney stones, weakened bones, altered digestion and potentially altered cardiac and brain function.

(HPD). Rapid tumour progression sometimes observed during immune checkpoint inhibitor treatment.

The condition that occurs when the level of sodium in the blood is low.

Harm, which is often unavoidable, caused by cancer treatments.

The marked suppression of polyclonal immunoglobulins in the body.

(LEMS). A neuromuscular junction disorder affecting communication between nerves and muscles, which manifests as a result of a paraneoplastic syndrome or a primary autoimmune disorder. Many cases are associated with small-cell lung cancer.

When cancer cells spread to the tissue layers covering the brain and spinal cord (the leptomeninges).

Also known as pulmonary oedema is a condition caused by excess fluid in the lungs. This fluid collects in the alveoli compromising function and making it difficult to breathe.

The observation of displacement of brain tissue across the centre line of the brain, suggestive of uneven intracranial pressure.

Decreased blood flow to the myocardium, commonly called a heart attack.

Inflammation specifically of the middle layer of the heart wall.

A group of rare disorders that occur when the immune system reacts to changes in the body triggered by the presence of a neoplasm.

A dense network of nerves that transmit information from the brain (efferent neurons) to the periphery and conversely transmit information from the periphery to the brain (afferent neurons). A component of the peripheral nervous system is the autonomic nervous system.

A build-up of fluid between the tissues that line the lungs and the chest wall.

A condition characterized by loss of skeletal muscle mass and function.

The lodging of a circulating blood clot within a vessel leading to obstruction. Thromboembolisms may occur in veins (venous thromboembolism) and arteries (arterial thromboembolism).

A key component of the pathway regulating blood clotting, specifically the receptor and cofactor for factor VII/VIIa.

A syndrome occurs when tumour cells release their contents into the bloodstream, either spontaneously or more typically, in response to therapeutic intervention.

Devices worn on the body, typically in the form of accessories or clothing, that incorporate advanced electronics and technology to monitor, track or enhance various aspects of human life. Examples include smartwatches and fitness trackers.

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Boire, A., Burke, K., Cox, T.R. et al. Why do patients with cancer die?. Nat Rev Cancer (2024). https://doi.org/10.1038/s41568-024-00708-4

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v.2(2); 2008 Aug

Imaging and cancer: A review

Leonard fass.

1 GE Healthcare, 352 Buckingham Avenue, Slough, SL1 4ER, UK

2 Imperial College Department of Bioengineering, London, UK

Multiple biomedical imaging techniques are used in all phases of cancer management. Imaging forms an essential part of cancer clinical protocols and is able to furnish morphological, structural, metabolic and functional information. Integration with other diagnostic tools such as in vitro tissue and fluids analysis assists in clinical decision‐making. Hybrid imaging techniques are able to supply complementary information for improved staging and therapy planning. Image guided and targeted minimally invasive therapy has the promise to improve outcome and reduce collateral effects. Early detection of cancer through screening based on imaging is probably the major contributor to a reduction in mortality for certain cancers. Targeted imaging of receptors, gene therapy expression and cancer stem cells are research activities that will translate into clinical use in the next decade. Technological developments will increase imaging speed to match that of physiological processes. Targeted imaging and therapeutic agents will be developed in tandem through close collaboration between academia and biotechnology, information technology and pharmaceutical industries.

1. Introduction

Biomedical imaging, one of the main pillars of comprehensive cancer care, has many advantages including real time monitoring, accessibility without tissue destruction, minimal or no invasiveness and can function over wide ranges of time and size scales involved in biological and pathological processes. Time scales go from milliseconds for protein binding and chemical reactions to years for diseases like cancer. Size scales go from molecular to cellular to organ to whole organism.

The current role of imaging in cancer management is shown in Figure 1 and is based on screening and symptomatic disease management.

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Object name is MOL2-2-115-g001.jpg

Current role of imaging in cancer management.

The future role of imaging in cancer management is shown in Figure 2 and is concerned with pre‐symptomatic, minimally invasive and targeted therapy. Early diagnosis has been the major factor in the reduction of mortality and cancer management costs.

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Object name is MOL2-2-115-g002.jpg

Future role of imaging in cancer management.

Biomedical imaging ( Ehman et al., 2007 ) is playing an ever more important role in all phases of cancer management ( Hillman, 2006 ; Atri, 2006 ). These include prediction ( de Torres et al., 2007 ), screening ( Lehman et al., 2007 ; Paajanen, 2006 ; Sarkeala et al., 2008 ), biopsy guidance for detection ( Nelson et al., 2007 ), staging ( Kent et al., 2004 ; Brink et al., 2004 ; Shim et al., 2004 ), prognosis ( Lee et al., 2004 ), therapy planning ( Fermé et al., 2005 ; Ciernik et al., 2003 ), therapy guidance ( Ashamalla et al., 2005 ), therapy response ( Neves and Brindle, 2006 ; Stroobants et al., 2003 ; Aboagye et al., 1998 ; Brindle, 2008 ) recurrence ( Keidar et al., 2004 ) and palliation ( Belfiore et al., 2004 ; Tam and Ahra, 2007 ).

Biomarkers ( Kumar et al., 2006 ) identified from the genome and proteome can be targeted using chemistry that selectively binds to the biomarkers and amplifies their imaging signal. Imaging biomarkers ( Smith et al., 2003 ) are under development in order to identify the presence of cancer, the tumour stage and aggressiveness as well as the response to therapy.

Various pharmaceutical therapies are under development for cancer that are classed as cytotoxic, antihormonal, molecular targeted and immunotherapeutic. The molecular targeted therapies lend themselves to imaging for control of their effectiveness and include signal transduction inhibitors, angiogenesis inhibitors, apoptosis inducers, cell cycle inhibitors, multi‐targeted tyrosine kinase inhibitors and epigenetic modulators.

In order to obtain the health benefit from understanding the genome and proteome requires spatial mapping at the whole body level of gene expression and molecular processes within cells and tissues. Molecular imaging in conjunction with functional and structural imaging is fundamental to achieve this result. Various targeted agents for cancer markers including epidermal growth factor receptor (EGFR) receptors, α v β 3 integrin, vascular endothelial growth factor (VEGF), carcinoembryonic antigen (CEA), prostate stimulating membrane antigen (PSMA), MC‐1 receptor, somatostatin receptors, transferrin receptors and folate receptors have been developed.

In vitro, cellular, preclinical and clinical imaging are used in the various phases of drug discovery ( Figure 3 ) and integrated in data management systems using IT ( Hehenberger et al., 2007 ; Czernin et al., 2006 ; Frank and Hargreaves, 2003 ; Tatum and Hoffman, 2000 ).

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Imaging in the drug discovery process.

In vitro imaging techniques such as imaging mass spectrometry (IMS) can define the spatial distribution of peptides, proteins and drugs in tumour tissue samples with ultra high resolution. This review will mainly consider the clinical imaging techniques.

The development of minimally invasive targeted therapy and locally activated drug delivery will be based on image guidance ( Carrino and Jolesz, 2005 ; Jolesz et al., 2006 ; Silverman et al., 2000 ; Lo et al., 2006 ; Hirsch et al., 2003 ).

Most clinical imaging systems are based on the interaction of electromagnetic radiation with body tissues and fluids. Ultrasound is an exception as it is based on the reflection, scattering and frequency shift of acoustic waves. Ultrasound also interacts with tissues and can image tissue elasticity. Cancer tissues are less elastic than normal tissue and ultrasound elastography ( Hui Zhi et al., 2007 ; Lerner et al., 1990 ; Miyanaga et al., 2006 ; Pallwein et al., 2007 ; Tsutsumi et al., 2007 ) shows promise for differential diagnosis of breast cancer, prostate cancer and liver fibrosis.

Endoscopic ultrasound elastography ( Sãftoiu and Vilman, 2006 ) has potential applications in imaging of lymph nodes, pancreatic masses, adrenal and submucosal tumours to avoid fine needle aspiration biopsies.

Ultrasound can be used for thermal therapy delivery and is also known to mediate differential gene transfer and expression ( Tata et al., 1997 ).

The relative frequencies of electromagnetic radiation are shown in Figure 4 . High frequency electromagnetic radiation using gamma rays, X‐rays or ultraviolet light is ionizing and can cause damage to the human body leading to cancer ( Pierce et al., 1996 ). Dosage considerations play an important part in the use of imaging based on ionizing radiation especially for paediatric imaging ( Brix et al., 2005 ; Frush et al., 2003 ; Byrne and Nadel, 2007 ; Brenner et al., 2002 ; Slovis, 2002 ). Future systems may need to integrate genetic risk, pathology risk and scan radiation risk in order to optimize dose during the exam.

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Object name is MOL2-2-115-g004.jpg

Frequency spectrum of electromagnetic radiation imaging technologies.

Non‐ionizing electromagnetic radiation imaging techniques such as near infrared spectroscopy, electrical impedance spectroscopy and tomography, microwave imaging spectroscopy and photoacoustic and thermoacoustic imaging have been investigated mainly for breast imaging (Poplack et al., 1997 , 1999 , 2001 , 2004 , 2007 , 2000 ).

Imaging systems vary in physical properties including sensitivity, temporal and spatial resolution. Figure 5 shows the relative sensitivity of different imaging technologies.

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Relative sensitivity of imaging technologies.

PET and nuclear medicine are the most sensitive clinical imaging techniques with between nanomole/kilogram and picomole/kilogram sensitivity.

X‐Ray systems including CT have millimole/kilogram sensitivity whereas MR has about 10μmol/kg sensitivity.

Clinical optical imaging has been mainly limited to endoscopic, catheter‐based and superficial imaging due to the absorption and scattering of light by body tissues and fluids. Preclinical fluorescence and bioluminescence‐based optical imaging systems ( D'Hallewin MA, 2005 ; He et al., 2007 ) are in routine use in cancer research institutions. Future developments using Raman spectroscopy and nanoparticles targeted to tumour biomarkers are showing promise.

The concept of only using tumour volume as a measure of disease progression has been shown to be inadequate as it only can show a delayed response to therapy and no indication of metabolism and other parameters. This has led to the use of multiple imaging techniques in cancer management. The development of a hybrid imaging system such as PET/CT ( Beyer et al., 2002 ) that combines the metabolic sensitivity of PET and the temporal and spatial resolution of CT.

As a result there has been an increased use of imaging of biomarkers to demonstrate metabolism, cell proliferation, cell migration, receptor expression, gene expression, signal transduction, hypoxia, apoptosis, angiogenesis and vascular function. Measurements of these parameters can be used to plan therapy, to give early indications of treatment response and to detect drug resistance and disease recurrence. Figure 6 shows the principle of biomarker imaging with different imaging technologies.

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Biomarker imaging.

Imaging biomarkers are being developed for the selection of cancer patients most likely to respond to specific drugs and for the early detection of response to treatment with the aim of accelerating the measurement of endpoints. Examples are the replacement of patient survival and clinical endpoints with early measurement of responses such as glucose metabolism or DNA synthesis.

With combined imaging systems such as PET/CT, SPECT/CT and in the future the combination of systems using for example PET and MR and ultrasound and MR, there will be a need to have standardization in order to follow longitudinal studies of response to therapy.

Cancer is a multi‐factorial disease and imaging needs to be able to demonstrate the various mechanisms and phases of pathogenesis.

The use of different modalities, various imaging agents and various biomarkers in general will lead to diagnostic orthogonality by combining independent and uncorrelated imaging technologies. The combination of information using results from these different tools, after they are placed in a bioinformatical map, will improve the sensitivity and specificity of the diagnostic process.

The integration and combination of such information is considered to be the future both as part of the validation of the individual technologies but also as part of the diagnostic process, especially for disease prediction, early disease detection and early therapy response.

2. Image contrast

Imaging systems produce images that have differences in contrast. The differences in contrast can be due to changes in physical properties caused by the endogenous nature of the tissue or by the use of exogenous agents.

Endogenous mechanisms include:

radiation absorption, reflection and transmission
magnetic relaxivity
magnetic susceptibility
water molecule diffusion
magnetic spin tagging
oxygenation
spectral distribution
temperature
electrical impedance
acoustic frequency shifts
mechanical elasticity

Exogenous mechanisms include:

radiation absorption, reflection and emission
spin hyperpolarization
magnetization transfer
saturation transfer
isotope spectra
fluorescence
bioluminescence
extracellular pH

Diagnostic imaging agents introduced intravenously, intra‐arterially or via natural orifices will play an increasing role in cancer imaging. In particular new tracers for PET ( Machulla et al., 2000 ; Eriksson et al., 2002 ) and nuclear medicine ( Pappo et al., 2000 ; Xiaobing Tian et al., 2004 ) are leading the development of molecular imaging. 11 C‐based PET tracers can also be exogenous substances found in the human body. On the other hand, 18 F‐based PET tracers are often analogues of substances found in the human body.

Nanotechnology‐based agents will be developed during the next decade for MRI ( Neuwalt et al., 2004 ; Schellenberger et al., 2002 ; Harishingani et al., 2003 ; Li et al., 2004 ; Kircher et al., 2003 ), X‐ray/CT ( Srinivas et al., 2002 ; Rabin et al., 2006 ; Hainfeld et al., 2006 ), optical ( Itoh and Osamura, 2007 ; Gao et al., 2005 ; Chan et al., 2002 ; Min‐Ho Lee, 2006 ) and ultrasound imaging (Liu et al., 2006 , 2007 , 2006 ) Nanoparticles are being developed as bi‐modal imaging agents ( Mulder et al., 2006 ; Li et al., 2006 ) for MR/CT and MR/optical imaging.

In the subsequent sections the role of various technologies involved in clinical cancer imaging will be reviewed with an emphasis on more recent developments.

3. X‐Ray‐based systems including CT

Digital imaging technology is expanding the role of X‐ray‐based systems in the imaging of cancer as the use of picture archiving and communications systems (PACS) becomes more widespread. The various digital imaging systems include the following.

3.1. Flat panel computed radiography (CR) and digital radiography (DR) systems that are used for chest X‐ray examinations

CR systems using phosphor plates are more suited to portable systems although improvements in DR systems are also making them more portable.

DR and CR systems can use dual‐energy ( MacMahon, 2003 ; Gilkeson and Sachs, 2006 ) to separate nodules from bone. DR systems use tomosynthesis ( Dobbins et al., 2003 ) to produce slice images. Computer aided detection/diagnosis (CAD) ( Campadelli et al., 2006 ) is used to improve lesion detection efficiency.

Dual energy systems can use two stacked detectors separated by a copper plate and using one X‐ray exposure or one detector with dual X‐ray exposure. In both cases images of low and high energy X‐rays are produced. As a result soft tissue images or bone and calcium images can be obtained.

Dual‐energy subtraction eliminates rib shadows and allows accurate, computerized measurement of lung nodule volume. Energy subtraction images have important advantages over standard radiographic images. Intra‐pulmonary lesions and bone may appear superimposed when projected in two dimensions. The soft‐tissue image, with bone removed, can improve the ability to detect these lesions. The more clear margins of these lesions in the soft‐tissue image can assist in lesion characterization. Calcified nodules may be distinguished from non‐calcified nodules. Only calcified nodules will appear on the bone image.

Calcifications in hilar lymph nodes can also be visualized on the bone image. Rib defects including sclerotic metastases or bone islands and calcified pleural plaques can mimic soft‐tissue abnormalities in standard radiographic images. These lesions may be accurately characterized on the bone image in most situations. Energy subtraction images have the potential to avoid follow‐up CT scans in some cases.

Tomosynthesis has been shown to improve the detection of lung nodules ( Pineda et al., 2006 ). 2D CAD ( Samei et al., 2007 ) increases the detection accuracy for small nodules compared to single view CAD.

3.2. Digital radiographic and fluorographic systems for barium and air contrast studies

Digital imaging systems using charge coupled devices capturing light from phosphors showed increased sensitivity over film‐based spot film systems in the study of gastric cancer ( Iinuma et al., 2000 ).

3.3. Digital C‐arm flat‐panel systems for interventional applications using fluoro imaging and CT image reconstruction

C‐Arm CT uses data acquired with a flat‐panel detector C‐arm fluoroscopic angiography system during an interventional procedure to reconstruct CT‐like images from different projections and this can aid interventional techniques involving embolization ( Meyer et al., 2007 ; Kamat et al., 2008 ), chemo‐embolization and biopsies.

Typical anatomical areas include the thorax, pancreas, kidneys, liver ( Virmani et al., 2007 ; Wallace et al., 2007 ; Wallace, 2007 ) and spleen. C‐Arm CT could be used with 3D road mapping and navigational tools that are under development. This could lead to improvements in both safety and effectiveness of complex hepatic vascular interventional procedures. Improvements include multi‐planar soft tissue imaging, pretreatment vascular road mapping of the target lesion, and the ability for immediate post‐treatment assessment. Other potential advantages are a reduction in the use of iodinated contrast agents, a lower radiation dose to the patient and the operator and an increase in the safety versus benefit ratio (therapeutic index). Motion correction techniques are being developed for procedures such as liver tumour chemoembolization.

Digital C‐arms are also combined with MRI, CT and ultrasound systems for various interventional procedures. Image fusion and 3D segmentation technology permits planning of the intervention including calculating optimal flow of embolizing material and to follow response. Vessel permeability is increased in angiogenesis and measures of reduction of extravascular perfusion could be a measure of response to chemoembolization.

3.4. Full field digital mammography(GE Senographe, 1999 ) systems and advanced applications( Rafferty, 2007 ) including tomosynthesis, contrast enhancement, dual energy, stereo imaging, multi‐modality fusion and CAD

Full field digital mammography systems offer several advantages ( Pisano et al., 2005 ) over film‐based systems for breast screening. These include lower dose, improved sensitivity for dense breasts, increased dynamic range, computer‐aided detection/diagnosis, softcopy review, digital archiving, telemedicine, tomosynthesis, 3‐D visualization techniques and reduction in breast compression pressure.

In tomosynthesis, multiple low‐dose X‐rays are taken from different angles usually between ±30°. The individual images are then assembled to give a three‐dimensional image of the breast, which can be viewed as a video loop or as individual slices. A potential limitation of 2D mammograms is that normal structures in the breast – for example glandular tissue – may overlap and obscure malignancies, especially ones buried deep in the breast. This can result in cancers being missed in the scan. Sometimes the opposite happens – overlapping tissues which are quite normal can resemble tumours on the X‐ray image, leading to additional patient imaging and unnecessary biopsies which cause avoidable patient anxiety and greater healthcare costs. Tomosynthesis has recently been shown to detect more breast lesions, better categorize those lesions, and produce lower callback rates than conventional mammography. Combining tomosynthesis with digital mammography can reduce false negatives and increase true positives. 3‐D X‐ray systems with tomosynthesis also allow less breast compression.

Another 3D method produces stereoscopic images. Stereoscopic mammograms can be created using digital X‐ray images of the breast acquired at two different angles, separated by about eight degrees. When these images are viewed on a stereo display workstation, the radiologist can see the internal structure of the breast in three dimensions and better distinguish benign and malignant lesions. Early clinical trial results ( Getty et al., 2007 ) indicate a higher detection rate and less false positives with this technique than conventional 2D mammography. The need to increase the number of images for this procedure leads to a higher radiation dose.

Contrast‐enhanced mammography ( Jong, 2003 ), using iodinated contrast agents, is an investigational technique that is based on the principle that rapidly growing tumours require increased blood supply through angiogenesis to support growth. Contrast needs to be administered when the compression device is not active. Areas of angiogenesis will cause an accumulation of contrast agent.

Contrast‐enhanced mammography with tomosynthesis ( Diekmann and Bick, 2007 ) offers a method of imaging contrast distribution in breast tissue. The images can be evaluated by two methods. One method is to look for the image where the iodine concentration is at a maximum, typically 1min post‐injection. High‐uptake regions indicate active tissue growth and may indicate malignant tissues. The kinetic analysis method is able to follow iodine contrast agent flow in and out of a tissue area. Malignant cancers often exhibit a rapid wash‐in and wash‐out of iodine, while benign tissues have a slow iodine uptake over the duration of study over a time frame of 5min. This is similar to what is seen on perfusion imaging with MRI using gadolinium‐based contrast agents.

Tomosynthesis combined with contrast‐enhanced mammography may offer advantages in detecting primary and secondary lesions as well as the possibility to monitor therapy.

Dual energy contrast mammography ( Lewin et al., 2003 ) could increase detectability of breast lesions at a lower radiation dose ( Kwan et al., 2005 ) compared to non‐contrast enhanced mammography but needs to be evaluated versus contrast enhanced MRI.

Dual energy techniques can remove the structural noise, and contrast media, that enhance the region surrounding the tumour and improve the detectability of the lesions.

CAD is being developed to help identify lesions especially in locations where it is difficult to obtain a second reading. CAD has an advantage in identifying microcalcifications but less so for breast masses. It appears to work better in the hands of experienced breast cancer experts who can differentiate benign lesions such as surgical scars from malignant lesions.

The sensitivity of CAD is consistently high for detection of breast cancer on initial and short‐term follow‐up digital mammograms. Reproducibility is significantly higher for true‐positive CAD marks than for false positive CAD marks ( Kim et al., 2008 ).

Recent results from a very large‐scale study of 231,221 mammograms have indicated CAD enhances performance of a single reader, yielding increased sensitivity with only a small increase in recall rate ( Gromet, 2008 ).

Dual modality systems based on combined X‐ray/ultrasound systems promise increased sensitivity and specificity ( Kolb et al., 2002 ). This is due to the lack of sensitivity of mammography in imaging young dense breasts where the surrounding fibroglandular tissue decreases the conspicuity of lesions. Addition of screening ultrasound significantly increases detection of small cancers and depicts significantly more cancers and at smaller size and lower stage than does a physical examination, which detects independently extremely few cancers. Mammographic sensitivity for breast cancer declines significantly with increasing breast density and is independently higher in older women with dense breasts. Full field digital mammography systems have a better detection sensitivity for dense breasts than film‐based systems.

Hormonal status has no significant effect on the effectiveness of screening independent of breast density.

Cone beam CT systems using flat panel detectors are being developed for CT mammography with the advantage of higher sensitivity, improved tissue contrast and no breast compression ( Ning et al., 2006 ).

The American Cancer Society has recently revised its recommendations, stating that women should continue screening mammography as long as they are in good health.

Future systems using CMOS active pixel sensors (APS) in a large area, low noise, wide dynamic range digital X‐ray detector could enable simultaneous collection of the transmitted beam and scattered radiation. This could be used to obtain biologically relevant scatter signatures from breast cancer tissue ( Bohndiek et al., 2008 ).

3.5. Multi‐slice CT systems including 4D acquisition and reconstruction with applications in lung cancer screening, virtual colonography, radiotherapy planning and therapy response monitoring

Multi‐slice CT systems with large area matrix detectors and high power X‐ray tubes are able to cover large scan volumes during breath hold acquisitions in the thorax, abdomen and brain.

CT often incidentally identifies lung nodules during exams for other lesions in the thorax. There is a need to distinguish benign from malignant nodules as on average 50% are benign. Dynamic contrast enhanced CT ( Swensen and Functional, 2000 ; Minami, 2001 ; Kazuhiro et al., 2006 ) has been proposed to identify malignant lung nodules having increased vascularity due to angiogenesis. CT lung cancer screening (Swensen et al., 2006 , 2007 , 2007 , 2003 ) is used with low dose CT combined with lung nodule analysis software ( Figure 7 ). Lung nodule size, shape and doubling times ( Reeves, 2007 ) are parameters of interest. Benign nodules typically have a round shape and smooth, sharply defined borders. Malignant nodules often have an oval shape, lobulated, irregular borders with spiculations. Advanced lung analysis software is used to help classify nodules ( Volterrani et al., 2006 ). Juxtapleural nodules are more difficult to classify.

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Advanced lung analysis lesion sizing from 3D CT.

CAD is being developed especially for lung ( Suzuki et al., 2005 ; Shah, 2005 ; Enquobahrie et al., 2007 ) and colon cancer ( Kiss et al., 2001 ) screening using CT.

CT virtual colonography ( Yee et al., 2001 ) has been assessed and shown to yield similar results to optical colonoscopy for clinically important polyps larger than 10mm in size and can, in the same examination, also provide information on changes in adjacent anatomy such as aortic aneurysms and metastases in the lymph nodes and the liver ( Hellstrom et al., 2004 ; Xiong et al., 2005 ). CT virtual colonography is considered suitable for elderly patients. The use of fecal tagging may permit the use of virtual colonography with limited bowel preparation ( Jensch et al., 2008 ).

A recent study ( Taylor et al., 2008 ) has shown that CAD is more time efficient when used concurrently in virtual colonography studies rather than when used as a second reader, with similar sensitivity for polyps 6mm or larger. When CAD is used as a second reader the sensitivity is maximized, particularly for smaller lesions. CAD is also indicated to help identify flat lesions.

Whole body CT screening is controversial due to dose and cost issues and can lead to a large number of false negatives requiring follow‐up studies ( Furtado et al., 2005 ).

Four‐dimensional CT (3D plus movement synchronization) acquisition is used for image modulated radiotherapy (IMRT) applications in the thorax so that the tumour is kept in the centre of the radiation field. Four‐dimensional technology allows following of the tumour at every point throughout the breathing cycle. It is possible to focus on the tumour, sparing surrounding healthy tissue. Four‐dimensional IMRT ( Suh et al., 2007 ) decreases both the size of the margin and the size of the radiation field using linear accelerators with dynamic multi‐leaf collimators (DMLC).

CT perfusion imaging is based on the linear relation between the CT attenuation values (expressed by Hounsfield units) and the concentration of contrast agent. CT perfusion imaging is used to determine therapy response ( Dugdale et al., 1999 ; Kim et al., 2007 ; Fournier et al., 2007 ).

A CT perfusion study showing changes in hepatic tumour perfusion after anti‐angiogenic therapy is shown in Figure 8 .

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Pre‐ and post‐anti‐angiogenic therapy CT perfusion maps (study courtesy of D. Buthiau, O. Rixe, J. Bloch, J.B. Méric, J.P. Spano, D. Nizri, M. Gatineau, D. Khayat).

In the future 4D CT with large detector arrays will be used to study volumetric perfusion imaging that could show the effects of anti‐angiogenic therapy to reduce the amount of permeable blood vessels in organs such as the liver.

The openness of the CT gantry makes it suitable for interventional procedures but dose considerations for the personnel must be taken into account ( Teeuwisse et al., 2001 ).

CT guided interventional procedures include: radiofrequency ablation of bone metastases ( Simon and Dupuy, 2006 ), hepatic metastases and HCC ( Ghandi et al., 2006 ) and renal tumours ( Zagoria et al., 2004 ), guided brachytherapy ( Pech et al., 2004 ; Ricke et al., 2004 ), alcohol injection in metastases ( Gangi et al., 1994 ), nerve block for pain palliation ( Vielvoye‐Kerkmeer, 2002 ; Mercadante et al., 2002 ) guided biopsies ( Maskell et al., 2003 ; Heilbrun et al., 2007 ; Suyash et al., 2008 ; Zudaire et al., 2008 ) and transcatheter arterial chemoembolization ( Hayashi et al., 2007 ).

PET/CT is more frequently used to guide biopsy by highlighting the metabolically active region ( von Rahden et al., 2006 ).

Needle artifacts can limit the performance of fluoroscopic CT guided biopsies of small lung lesions ( Stattaus et al., 2007 ). Pneumothorax is a complication of transbronchial lung biopsies especially for small lesions ( Yamagami et al., 2002 ) and can lead to empyema ( Balamugesh et al., 2005 ) in the pleural cavity (purulent pleuritis) requiring drainage. Other complications include haemorrhage/haemoptysis, systemic air embolization and malignant seeding along the biopsy tract.

Future developments in X‐ray imaging include new multi‐tube systems based on field emitters using carbon nanotubes. These could be used for inverted geometry systems where multiple X‐ray beams are directed onto a detector.

Other work is looking at imaging scattered radiation instead of the traditional X‐ray transmission/absorption methods. Spectral imaging with energy sensitive detectors will enable separation of different density objects such as iodine contrast agents and calcifications.

4. Magnetic resonance systems

Magnetic resonance is used in cancer detection, staging, therapy response monitoring, biopsy guidance and minimally invasive therapy guidance. Imaging techniques that have been developed to image cancer are based on relaxivity‐based imaging with and without contrast agents, perfusion imaging using contrast agents, diffusion weighted imaging, endogenous spectroscopic imaging, exogenous spectroscopic imaging with hyperpolarized contrast agents, magnetic resonance elastography and blood oxygen level determination (BOLD) imaging.

Nuclear magnetic resonance (NMR) spectroscopy had existed for over 30years before the possibility to distinguish tumour tissue from T1 and T2 relaxation time measurements in vitro was the catalyst that started the development of magnetic resonance imaging MRI systems ( Damadian, 1971 ). MRI of the human body became possible only after the application of local gradient fields ( Lauterbur, 1973 ).

4.1. MRI of breast cancer

Breast cancer was one of the first to be examined using MRI ( Ross et al., 1982 ). After more than 10years of clinical use breast MR is now starting to be accepted as a complementary technique on a par with mammography and ultrasound. This has happened through the development of surface coils, advanced gradient coils, parallel imaging, contrast agents and new fast imaging sequences that have greatly improved MRI of the breast. Dedicated breast imaging tables provide complete medial and lateral access to the breast, enabling unimpeded imaging and intervention including biopsies. New surface coils allow the simultaneous imaging of both breasts to indicate involvement of the contralateral breast.

The move to higher field strengths with 3T MRI systems has been aided by parallel imaging that can reduce the effect of T1 lengthening, reduce susceptibility artifacts and avoid too high specific absorption rate (SAR) values. Breast MRI has a higher sensitivity for the detection of breast cancer than mammography or ultrasound.

Due to cost reasons, access, and high false positives MRI is not yet considered a screening exam for breast cancer except for special cases. As a result of not utilizing ionizing radiation, breast MRI has been recommended in the repeated screening of high‐risk patients who have increased risk of radiation induced DNA mutations. These include individuals with the BRCA1 or BRCA2 gene mutation. It is used to screen women with a family history of breast cancer, women with very dense breast tissue, or women with silicone implants that could obscure pathology in mammography. It is also useful to look for recurrence in patients with scar tissue. The American Cancer Society has given a strong endorsement for MRI, to detect lymph node involvement and contralateral disease extension in breast cancer.

Staging is probably the most important use of breast MRI because it can show chest wall involvement, multi‐focal tumours, lymph node metastases and retraction of the skin. It has a better performance in imaging invasive lobular carcinoma than other methods.

Magnetic resonance imaging appears to be superior to mammography and ultrasound for assessing pathological response and a low rate of re‐operation for positive margins ( Bhattacharyya et al., 2008 ). This indicates an important role for MRI in aiding the decision to undergo breast conserving surgery or mastectomy.

Contrast enhanced MRI has permitted dynamic studies of wash‐in and wash‐out. Gadolinium is strongly paramagnetic and can change the magnetic state of hydrogen atoms in water molecules. Tissues, with a high contrast agent uptake in T1‐weighted images appear bright. High concentrations of gadolinium chelates induce local changes in the local magnetic field due to susceptibility effects. The effect is maximized during the first pass of a bolus of contrast agent after rapid intravenous injection. On gradient echo T2*‐weighted images this causes a darkening of the image in areas of tissue that are highly perfused.

Perfusion imaging based on dynamic contrast enhanced MRI can demonstrate the presence of malignant microcalcifications seen on mammography and can be used in the evaluation of equivocal microcalcifications before stereotactic vacuum assisted biopsy ( Takayoshi et al., 2007 ). Dynamic contrast MRI with gadolinium‐based contrast agents is used to evaluate neo‐angiogenesis ( Folkman, 1992 ) and has been shown to correlate with histopathology ( Leach, 2001 ), microvessel density ( Buckley et al., 1997 ; Buadu et al., 1996 ) and response to chemotherapy (Padhani et al., 2000 , 2000 ).

Signal intensity/time graphs are obtained for each enhancing lesion at the site of maximal enhancement. Three types of curves can be distinguished ( Kuhl et al., 1999 ):

Type I curves demonstrate continuous enhancement and are usually associated with benign lesions.
Type II curves exhibit a rapid uptake of contrast followed by a plateau and can be indicative of both benign and malignant lesions.
Type III curves demonstrate a rapid uptake of contrast with rapid wash‐out and are most often related to malignant lesions.

Rapid uptake and wash‐out has been attributed to the angiogenic nature of malignancies with many microvessels feeding the tumour ( Morris, 2006 ). Figure 9 shows intensity time curves in different breast tissues.

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MR contrast uptake intensity/time curves in the breast (courtesy of Duke University).

MR perfusion imaging has the potential to monitor therapy by using agents that block angiogenesis directly and indirectly. As well as eliminating angiogenic blood vessels, it has been proposed that anti‐angiogenic therapy can also transiently normalize the abnormal structure and function of tumour vasculature. Normalized blood vessels are more efficient for oxygen and drug delivery due to less permeability. Pericytes play an important role in blood vessel formation and maintenance ( Bergers and Song, 2005 ). Pericytes (vascular smooth muscle cells) strengthen the normalized vessels. The strengthened vessels can reduce intravasation of cancer cells and consequently the risk of haematogenous metastasis. Vascular normalization can also reduce hypoxia and interstitial fluid pressure.

The American College of Radiology's Breast Imaging Reporting and Database system (BI‐RADS) ( American College of Radiology, 2004 ) provides a standard for terminology used to report MRI findings. Irregularly shaped speculated masses and heterogeneous or rim enhancement indicate malignancy. A non‐mass enhancement that is asymmetrical with a segmental or regional pattern is a strong indicator of ductal carcinoma in situ ( Nunes, 2001 ). Smooth borders or non‐enhancing septa, which can be seen in a many fibroadenomas, indicate benign lesions. Small lesions measuring <5mm (enhancing foci) are often not of clinical significance ( Liberman et al., 2006 ).

Axillary lymph node imaging with dextran coated ultra small particle iron oxide (USPIO) contrast agents is based on the accumulation of iron oxide nanoparticles in macrophages. USPIO developed for MR imaging of the reticulo‐endothelial system (liver and lymph nodes), causes a loss of signal in T2* imaging. USPIO helps to distinguish unenlarged metastatic lymph nodes from normal lymph nodes; and differentiate enlarged metastatic nodes from benign hyperplastic nodes. The combination of USPIO‐enhanced MR and FDG PET achieved 100% sensitivity, specificity, PPV and NPV in lymph note detection confirmed by histopathology ( Stadnik et al., 2006 ). USPIO has also been used to evaluate lymph node involvement in prostate cancer, colon cancer, rectal cancer and lung cancer.

4.2. Diffusion weighted imaging

Diffusion weighted imaging ( Le Bihan et al., 1985 ) (DWI) has been around for over 23years with a first application in detecting cytotoxic oedema in stroke. DWI MRI measures the diffusion of water molecules (Brownian movement) and is a promising technique for the identification of tumours and metastases and could have an application in characterizing breast lesions as benign or malignant. DWI MRI provides endogenous image contrast from differences in the motion of water molecules between tissues without the need for exogenous contrast agents. It is possible to obtain both qualitative and quantitative information related to changes at a cellular level demonstrating the influence of tumour cellularity and cell membrane integrity.

Recent advances enable the technique to be widely applied for tumour evaluation in the abdomen and pelvis and have led to the development of whole body DWI.

An inverse image of a whole body DWI acquisition of a patient with a non‐Hodgkin's lymphoma having diffuse bone marrow infiltration with spread to cervical, axilla and inguinal tumoural lymph nodes is shown in Figure 10 .

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DWI image of metastatic spread (courtesy of the Military Hospital of Laveran, France).

Tumour tissues have disrupted water molecule diffusion and a lower apparent diffusion constant (ADC) leading to a high signal in DWI images. A rise in ADC indicates a positive response to therapy. The observed increase in water ADC following therapy is directly related to the number of cells killed and is thought to be due to the liberation of water into the extracellular space as a result of cell necrosis ( Chenevert et al., 2000 ).

Measurement of ADC has been used for the assessment of metastatic breast cancer response to chemoembolization. Normal tissues had no change in their ADC values whereas tumour tissue showed an increase in ADC values after transarterial chemoembolization ( Buijs et al., 2007 ) even when volume changes seen with contrast enhanced MRI did not show complete response based on response evaluation criteria in solid tumours (RECIST) criteria.

DWI MRI in the liver is able to see changes in hepatic metastases from neuroendocrine tumours after transarterial chemoembolization ( Liapi et al., 2008 ).

DWI MRI could be helpful in detecting and evaluating the extent of pancreatic carcinomas. Carcinomas appear with a higher signal intensity relative to surrounding tissues. The ADC value in the tumour tissue is significantly lower compared to that of the normal pancreas and tumour‐associated chronic pancreatitis ( Matsuki et al., 2007a ).

As bladder carcinoma ADC values are lower than those of surrounding structures, DWI MRI could be useful in evaluating invasion ( Matsuki et al., 2007b ).

DWI MRI has also been evaluated and compared to histology for the detection of prostate cancer. Similar to other types of cancer, the mean ADC for malignant tissue is less than non‐malignant tissue but there is overlap in individual values. DWI MRI of the prostate is possible with an endorectal radiofrequency coil ( Hosseinzadeh and Schwarz, 2004 ).

The combination of T2 imaging and DWI MRI has been shown to be better than T2 imaging alone in the detection of significant cancer of size greater than 4mm in patients with a Gleason score of more than 6 within the peripheral zone of the prostate ( Haider et al., 2000 ).

ADCs of lung carcinomas correlate well with tumour cellularity with some amount of overlap for different tumour types when using the Spearman rank correlation analysis. However on DWI, well‐differentiated adenocarcinomas appear to have higher ADCs than those of other histologic lung carcinoma types ( Matoba et al., 2007 ).

DWI MRI of the brain is used in combination with perfusion MRI in order to characterize brain tumours in terms of tumour type, grade and margin definition and to evaluate therapy response ( Provenzale et al., 2006 ). High DWI MRI may be able to predict response to radiation therapy ( Mardor, 2003 ). Tumours with a high diffusion constant corresponding to large necrotic regions have a worse response.

Palpation that assesses the stiffness of a region with respect to the surrounding tissues is used as part of the clinical detection of many breast, thyroid, prostate and abdominal pathologies. DWI MRI has been shown to be a label free method for evaluating therapy response of brain tumours in terms of non‐responders and partial responders during a cycle of fractionated radiotherapy ( Moffat et al., 2005 ). Partial responders show areas of increased ADC.

Whole‐body MRI competes with scintigraphy and PET/CT in the detection of sclerotic metastases, which are common to prostate and breast cancers and multiple myeloma. PET–CT currently is used for soft‐tissue metastatic disease but diffusion‐weighted MRI techniques hold promise.

4.3. MR elastography

Magnetic resonance elastography (MRE) is an experimental method of imaging propagating mechanical waves using MRI that could emulate palpation but with quantitative stiffness information for tissue characterization ( Kruse et al., 2000 ; Muthupillai et al., 1995 ) also in anatomic locations not manually accessible like the brain. It is accomplished by synchronizing motion‐sensitive phase contrast MRI sequences during the application of acoustic waves. The frequency of the acoustic waves is in the range of 100Hz to 1kHz.

MRE creates images of propagating shear waves with variable wavelengths that are a function of the tissue shear modulus. The wavelength can be calculated by measuring the distances between black lines that show the waves in the MR image. The shear modulus and hence the stiffness of the tissue can be calculated to create a shear modulus map. There has been some experience in evaluating MRE for breast cancer ( Plewes et al., 2000 ; Sinkus et al., 2000 ; McKnight et al., 2002 ; Xydeas et al., 2005 ).

In vivo MRE of the prostate gland has been show to be technically feasible in healthy volunteers ( Kemper et al., 2004 ).

Ex vivo studies using hyperpolarized 3 He, a noble gas used in lung studies, have demonstrated the feasibility of performing MRE in the lung. In this case it is the gas in the alveolar spaces and not the lung parenchyma that is used to measure the shear wave propagation ( McGee et al., 2007 ).

4.4. MR perfusion imaging

Perfusion imaging with MRI is used to evaluate angiogenesis and response to anti‐angiogenic therapy ( Su et al., 2000 ; Pham et al., 1998 ). Angiogenic blood vessels are more permeable than normal vessels and permit the passage of contrast agents in and out of the vessels. MRI perfusion imaging can be performed using two different methods.

T1‐weighted acquisitions are used for dynamic contrast enhanced imaging ( Padhani and Leach, 2005 ; Miller et al., 2005 ) and are mainly used to determine leakage from permeable blood vessels as a surrogate marker for angiogenesis. Outside of the brain there can be a difficulty in distinguishing differences in vascular permeability between benign and malignant tumours using T1‐weighted acquisitions ( Helbich et al., 2000 ; Brasch and Turetschek, 2000 ) using standard gadolinium‐based contrast agents. Efforts to overcome this issue have made in pre‐clinical evaluations using higher molecular weight agents or nanoparticle agents ( Turetschek et al., 2003 ; Su et al., 1998 ).

T2*‐weighted acquisitions are used for dynamic susceptibility contrast imaging, mainly used to measure relative cerebral blood volume (rCBV) that corresponds to capillary density and can be used as an indicator of tumour grade ( Provenzale et al., 2002 ).

High molecular weight contrast agents are considered more reliable in the differentiation of vascular permeability and blood volume within tumours than the low molecular weight contrast agents that are in routine use.

Direct imaging of angiogenesis has been attempted using agents that bind to proteins or receptors involved in angiogenesis. Possible targets are membrane proteins that are selectively expressed by angiogenic blood vessels. These include α v β 3 integrins, VEGF and its membrane receptors, prostate‐specific membrane antigen and thrombospondin‐1 receptor. Contrast agents being developed targeted to specific endothelial cell surface markers on the surface of angiogenic vessels could lead to a more precise indication of vascular response to therapy ( Brindle, 2003 ).

4.5. Apoptosis imaging

Direct imaging of apoptosis has also been attempted using agents that bind to a cell surface protease that attracts phagocytes to dying cells. Annexin V has been used in optical and nuclear medicine imaging. The C2 domain of synaptotagmin, a protein, also binds to phosphatidyl serine. MRI detection of apoptotic cells, in vitro and in vivo, has been demonstrated using the C2 domain of synaptotagmin, tagged with superparamagnetic iron oxide (SPIO) particles ( Zhao et al., 2001 ).

4.6. Receptor imaging

Receptor imaging has been performed using targeted SPIO. For example imaging of the tyrosine kinase Her‐2/neu receptor in breast cancer cells using targeted iron oxide ( Artemov et al., 2003 ). Streptavidin‐conjugated superparamagnetic nanoparticles were used as the targeted MR contrast agent. The nanoparticles were directed to receptors prelabelled with a biotinylated monoclonal antibody and generated strong T 2 MR contrast in Her‐2/neu‐expressing cells. The contrast observed in the MR images was proportional to the expression level of Her‐2/neu receptors determined independently with fluorescence‐activated cell sorting (FACS) analysis. In these experiments, iron oxide nanoparticles were attached to the cell surface and were not internalized into the cells. This could be an advantage for potential in vivo applications of the method.

The sensitivity of MRI will limit the clinical application of direct imaging that is more promising with PET but will find applications in pre‐clinical imaging.

4.7. Stem cell tracking

One area that is showing promise is stem cell tracking using iron oxide labelled stem cells ( Rogers et al., 2006 ). Due to the effect of susceptibility the size of the image is larger than the physical dimensions of the cell and can be resolved by MRI.

Most of the magnetic resonance labels currently used in cell tracking are USPIO or SPIO because of their very strong negative contrast effects and their inherent lack of cell toxicity. However, as this is an indirect imaging technique the signal change is due to the amount of USPIO and SPIO and not the number of cells. As cells proliferate and the iron is divided between all the cells, the total iron content and the signal from each cell decreases. The iron from cells undergoing apoptosis or cell lysis can be internalized by macrophages resident in nearby tissue, resulting in signal wrongly attributable to cells.

USPIO and SPIO are negative contrast agents and suffer from three fundamental disadvantages. MRI cannot distinguish loss of signal from the agent from other areas of signal loss like those from artifacts or calcium. These agents are also limited by partial volume effects, in which void detection is dependent on the resolution of the image. If the void created by the agent is too small, it could be at the limits of MRI detection. Tracking cells in vivo can be difficult with a negative contrast technique.

The introduction of higher field strength MRI at 3.0T will assist the development of this technique by helping to increase resolution.

4.8. MR spectroscopy

Proton magnetic resonance spectroscopy using fat and water suppression techniques can supply biochemical information about tissues. 3D MR proton spectroscopy and spectroscopic imaging ( Kurhanewicz et al., 2000 ) have a potential role of localizing tumours and guiding biopsies in the breast, brain and prostate and detecting a response to therapy. Combining MR anatomic imaging and MR spectroscopic imaging in the same exam can localize the spatial position of metabolites.

Choline helps form phosphatidylcholine, the primary phospholipid of cell membranes and is a potential marker of cell division. It has been proposed that carcinogenesis in human breast epithelial cells results in progressive alteration of membrane choline phospholipid metabolism ( Aboagye and Bhujwalla, 1999 ).

Increased choline levels have been detected in invasive ductal carcinomas of the breast and lymph node metastases ( Yeung et al., 2002 ). The possibility of using the choline levels to differentiate benign from malignant tumours may decrease the number of breast biopsies and permit to monitor and predict response to chemotherapy ( Bartella and Huang, 2007 ). Proton spectroscopy identifying the choline peak with a signal to noise greater than 2 has a very high sensitivity and specificity for the detection of malignancy in enhancing non‐mass lesions and significantly increases the positive predictive value of biopsy ( Bartella et al., 2007 ).

A high choline peak is identified in the proton spectroscopy of a breast lesion in Figure 11 .

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MRI anatomic image and proton spectroscopy of a breast lesion.

Citrate is a normal component of prostate cells and decreases in prostate cancer due to disruption of the citrate cycle.

Prostate cancer identification with proton MR spectroscopy is based on the detection of an increased choline plus creatine to citrate ratio and a decrease in polyamines that also correlates with the Gleason score in terms of aggressiveness ( Hricak, 2007 ).

Brain cancer exhibits high choline levels and reduced N ‐acetyl aspartate due to neuronal loss. Increased lactate due to anaerobic processes is observed in some tumours. Monitoring the changes in these metabolites can be used to see therapy response or malignant transformation ( Nelson et al., 1997 ; Tedeschi et al., 1997 ; Wald et al., 1997 ).

Spectroscopy of endogenous 13 C ( Jeffrey et al., 1991 ) and 31 P ( Gillies and Morse, 2005 ) has been performed but its clinical application has been limited by the low signal due to the low concentration of these naturally occurring isotopes in tissues and the need for very long acquisition times.

4.9. Spin hyperpolarization

Signal to noise in MR imaging and spectroscopy is proportional to the product of concentration, gyromagnetic ratio and polarization. As the gyromagnetic ratio is a constant for each nucleus and concentration is limited by tolerance of the body, the main method to increase the signal to noise ratio is through an increase of polarization.

Hyperpolarization of nuclear spins can be used to greatly enhance the sensitivity of magnetic resonance spectroscopy. The injection of hyperpolarized molecules allows spectroscopic imaging of distribution and metabolism of these molecules.

Hyperpolarization can be obtained through the technique of dynamic nuclear polarization. Polarization is transferred from electrons to the nuclear spins through the excitation of electron spin resonance. This is obtained by irradiation with microwaves of a solid material doped with unpaired electrons at a low temperature of about 1.2K in a high magnetic field of about 3.35T. This can increase the polarization by over four orders of magnitude. Polarizations of up to 50% can be obtained ( Ardenkjaer‐Larsen et al., 2003 ).

Use of hyperpolarized agents signifies that the hyperpolarizer must be placed next to the MRI system due to the short half‐life of the hyperpolarized state of the order of 1–2min. The substances are brought rapidly to liquid state before they can be introduced into the body.

The substances that will be able to be used as hyperpolarized agents have to satisfy the criteria of a long T1 relaxation time, a clear metabolic pathway and no toxicity when used in clinical concentrations. Examples of potential substances are [ 13 C]pyruvate, [ 13 C]acetate and [ 13 C]urea.

The metabolic products of pyruvate include, lactate through reduction, alanine through transamination, bicarbonate through oxidative decarboxylation and oxyloacetate through carboxylation. Lactate is a potential marker for malignant tissue.

The possibility to follow metabolite changes as they occur requires the use of agents that have a high level of polarization. This has been demonstrated using hyperpolarized 13 C (Golman et al., 2006 , 2006 , 2006 ). Hyperpolarized agents show promise in monitoring therapy response.

Using a 13 C pyruvate agent it has been demonstrated for the first time in in‐vivo preclinical studies that it is possible to spectroscopically image in tumours the exchange of the hyperpolarized 13 C label between the carboxyl groups of lactate and pyruvate ( Day et al., 2007 ). This reaction is catalysed by the enzyme lactate dehydrogenase and the flux is decreased in tumours undergoing cell death induced by chemotherapy.

4.10. MR guided focused ultrasound

MRI has great potential as a method for guidance and monitoring of minimally or non‐invasive therapy. The main advantages are the 3D and 4D imaging capability, virtual real time thermometry and therapy planning and response imaging with contrast studies.

High intensity focused ultrasound (HIFU) is used to rapidly heat and destroy diseased tissue. It is a type of therapeutic ultrasound that induces hyperthermia within a time frame of a second. It should not be confused with traditional hyperthermia that heats over a time frame of an hour and to much lower therapeutic temperatures (generally <45°C). When an acoustic wave propagates through tissue, part of it is absorbed and converted to heat. With focused beams, a very small focus can be achieved deep in tissues. At a high enough temperature, the tissue is thermally coagulated due to protein denaturization. A volume can be thermally ablated by focusing at more than one place or by scanning the focus.

High intensity focused ultrasound has been investigated for over 60years but has only recently come into clinical use as result of image guidance using ultrasound or MRI.

HIFU approaches the criteria for optimized treatment of localized cancer as, due to the very sharp temperature profile, it can cause complete cell death in tumours without harming nearby healthy tissue. It is an extracorporeal or natural orifice technique and is a localized trackless therapy as opposed to radiotherapy.

MR guidance has many advantages including the possibility of quasi real time thermometry of the tissue to be ablated and of the surrounding tissues. There is the added advantage of 3D imaging for treatment planning with the patient in the MR system during the treatment.

It is important to avoid structures that have risk of damage such as the bowel or nerves next to the prostate or areas that can absorb an increased amount of energy and generate excess heat such as bone, surgical clips or scar tissue.

Contrast enhancement with gadolinium contrast agents identifies tumour margins for treatment planning and also shows post treatment therapy response while the patient is still in the system.

A very big advantage over radiotherapy is the ability to repeat the treatment several times if necessary.

MR guided focused ultrasound ( Jolesz and Hynynen, 2002 ) (MRgFUS) is a closed loop thermal therapy technology that uses multiple ultrasound transducers to focus several beams onto a small area of tissue to cause highly localized heating. Heating tissue to between 55 and 80°C will cause coagulation necrosis as a result of the denaturization of proteins that are subsequently removed by the lymphatic system leaving no scar tissue. The beam is targeted using phased array ultrasound transducers on a robotic positioning system that has 5 degrees of freedom.

Temperature measurement can be performed from changes in T1 relaxation times, diffusion coefficient or water proton resonance frequency.

One‐dimensional MR elastography ( Yuan et al., 2007 ) has recently been developed for temperature and tissue displacement measurements for the monitoring of focused ultrasound therapy.

MRgFUS technology has been approved for use in the ablation of uterine fibromas ( Hindley et al., 2004 ) as an outpatient treatment.

Areas of development in oncology include the treatment of breast ( Zippel and Papa, 2005 ; Gianfelice et al., 2003 ; Furusawa et al., 2006 ) prostate, liver ( Kopelman et al., 2006 ; Okada et al., 2006 ), soft tissue sarcomas, kidney ( Salomir et al., 2006 ) and brain ( McDannold et al., 2003 ) tumours.

Figure 12 shows pre‐ and post‐treatment contrast enhanced T1 weighted MRI maximum intensity projection (MIP) images of a breast cancer patient in a phase 2 trial for patients with an MR identified single focal lesion (up to 1.5cm) of T1/T2, N0, M0 disease. The lack of contrast enhancement indicates treatment necrosis confirmed by histology.

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Pre‐ and post‐contrast images of a single breast cancer lesion treated by MRgFUS (images courtesy of Breastopia Namba Medical Center, Miyazaki, Japan and InSightec, Haifa, Israel).

Pain palliation for bone metastases ( Catane et al., 2007 ) has the potential for fast response and has also worked in patients where fractionated radiation therapy has failed.

MRgFUS can be used together with neoadjuvant radiotherapy and chemotherapy.

Expression of tumour antigens and heat‐shock protein 70 in breast cancer cells has been demonstrated after high‐intensity focused ultrasound ablation indicating a potential anti‐tumour response ( Wu et al., 2007 ).

Disruption of the blood–brain barrier by trans‐skull MRgFUS ( Hynynen et al., 2005 ; Kinoshita, 2006 ) has demonstrated the potential of using this technique for local drug delivery to brain tumours.

The delivery of doxorubicin and increasing its anti‐tumour effects has been demonstrated by exposing low‐temperature heat‐sensitive liposomes containing the doxyrubicin chemotherapy with HIFU exposure that causes the local release of the drug ( Dromi et al., 2007 ). This combination therapy could lead to viable clinical strategies for improved targeting and delivery of drugs for treatment of cancer.

Future applications will include multi‐drug and contrast agent delivery in locally activated multi‐functional nanoparticles ( Rapoport et al., 2007 ).

4.11. MR guided galvanotherapy

Preliminary results have shown that MRI guided galvanotherapy ( Vogl, 2007 ) appears to be a safe and effective treatment for prostate cancer with the possibility to control local tumours without causing impotence or incontinence. MR compatible electrodes are inserted into the prostate and are used to pass an electric current.

5. Ultrasound

Ultrasound is one of the most common diagnostic imaging methods used in the diagnosis of tumours in the thyroid, breast, prostate, liver, pancreatic, ovarian, uterine and kidney. Volume ultrasound enhances visualization of lesions. Ultrasound is frequently used to guide biopsies.

As there is no ionizing radiation, serial follow up studies can be performed to check for recurrence using ultrasound.

Recent developments include ultrasound elastography, targeted microbubble contrast agents ( Weller et al., 2005 ), locally activated ultrasound mediated drug delivery with nano and microbubbles ( Gao et al., in press ) and photoacoustic imaging ( Xu and Wang, 2006 ).

5.1. Miniaturization of ultrasound systems

Miniaturization of ultrasound systems has made them very portable so they can be taken to the patient or even inserted into the patient through natural orifices.

Transrectal ultrasound (TRUS) is used for the diagnosis and guiding the biopsy of prostate cancer ( Narayan et al., 1995 ). Transrectal ultrasound guided multiple systematic random biopsies are presently the method of choice for determining the presence or absence of prostate cancer ( Tillmann et al., 2004 ).

Endoscopic ultrasound can identify lesions in mediastinum ( Larson et al., 2002 ; Larsen et al., 2005 ) and is used to guide fine needle aspiration biopsy to identify primary malignancies as well as spread from lung cancer that had been previously seen on CT. It has shown a major benefit in avoiding unnecessary thoracotomies.

Endoscopic ultrasound is also used in the diagnosis of tumours of the gastrointestinal system such as oesophageal, gastric and pancreatic cancer. It is also used to obtain biopsies ( Williams et al., 1999 ) of any focal lesions found in the upper gastrointestinal tract, lymph nodes, pancreas and perirectal tract.

The use of endoscopic interstitial high intensity focused ultrasound has been used to treat oesophageal tumours ( Melodelima et al., 2006 ) under fluoroscopic and ultrasound guidance.

Future devices may use capacitive micromachined ultrasonic transducer (CMUT) arrays usually made on silicon substrates for non‐invasive focused ultrasound ablation of lower abdominal cancers under MR guidance ( Wong et al., 2006 ).

Endoscopic ultrasound guidance of brachytherapy using porous silicon microspheres containing phosphorus‐32 introduced into the pancreas is another recent application undergoing clinical trials.

5.2. Acoustic radiation force impulse imaging

Acoustic radiation force impulse (ARFI) imaging ( Palmeri et al., 2004 ) has been shown to provide information about the mechanical properties of tissues. It uses short, high‐intensity, focused ultrasound to generate radiation force and uses traditional ultrasonic correlation‐based methods to track the displacement of tissues. Acoustic radiation force impulse imaging exploits differences in the mechanical properties of soft tissues to outline tissue structures that may not be seen with B‐Mode ultrasound. In ARFI imaging, an impulse of relative high acoustic energy is transmitted into the body to deliver a radiation force that is spatially and temporally localized at the imaging focus in a way that displaces tissue a few micrometres away from the imaging transducer. Ensembles of ultrasonic transmit‐receive lines that generate data for ARFI‐induced axial motion tracking with a one‐dimensional cross‐correlation follow each ARFI impulse.

It has the potential to be used in the endoscopic evaluation of gastrointestinal tumours.

ARFI imaging implemented on a diagnostic ultrasonic scanner has been proposed ( Fahey et al., 2006 ) as a method to guide RF ablation procedures in the liver. This could be convenient when sonographic guidance is used for RF electrode insertion. ARFI imaging has demonstrated superior imaging of tumour boundaries of hepatic malignancies ( Fahey et al., 2008 ).

Ultrasound microbubble contrast agent use in preclinical studies has demonstrated quantitative measures of tumour neovascularity in the glioma and breast cancer xenograft models C6 and NMU and appears to provide a non‐invasive marker for angiogenesis ( Ro et al., 2006 ).

Reflex transmission imaging (RTI) has been used to quantitatively define pigmented skin lesions such as melanoma in vivo ( Rallan et al., 2006 ). A significant difference in attenuation is shown in skin cancer lesions. RTI could potential be synergistic with white light clinical (WLC) photography in the diagnosis of skin cancer.

Ultrasound is used as direct therapy technique in ultrasound guided high intensity focused ultrasound systems and as a method to facilitate local drug delivery and gene therapy.

5.3. High intensity focused ultrasound

Systems for high intensity focused ultrasound ablation of prostate cancer have been extensively evaluated ( Blana et al., 2004 ).

Ultrasound enhanced local drug delivery into tumours has been the subject of active research ( van Wamel et al., 2004 ; Tachibana et al., 2000 ; Yu et al., 2004 ; Rapoport et al., 2004 ; Nelson et al., 2002 ). Pretreatment with ultrasound increases the cytotoxicity of anti‐cancer drugs ( Paliwal et al., 2005 ).

Ultrasound can locally enhance systemic gene delivery into tumours ( Anwer et al., 2000 ). Ultrasound elastography measures and displays tissue strain. Strain is the change in the dimension of tissue elements in different areas in a region of interest. Elastography uses ultrasound measurements made before and after a slight compression of tissue using a transducer. Sonoelastography ( Salomir et al., 2006 ) uses vibrations to cause compression. The elasticity profiles of tissues are different in size to their gray scale appearance on B‐mode images. Strain values can be displayed as an image and superimposed on the gray scale image. Normal soft tissue and fat typically have a smaller profile whereas tumours with harder tissue have a larger profile. Potential areas of application are in breast ( Burnside et al., 2007 ; Itoh et al., 2006 ; Zhi et al., 2007 ), prostate ( Luo et al., 2006 ; Lorenz et al., 2000 ), thyroid ( Bae et al., 2007 ; Rago et al., 2007 ), liver ( Sãftoiu and Vilman, 2006 ; Masuzaki et al., 2007 ) and brain cancer ( Scholz et al., 2005 ). It has been proposed that a ratio of strain image to B‐mode image size of 0.75 indicates a benign breast lesion. Using this criterion it would be possible to reduce breast biopsies by 50% and have a more accurate evaluation of tumour size. The technique is most useful for lesions in the indeterminate BI‐RADS categories.

6. Non‐ionizing electromagnetic imaging

6.1. photo‐ and thermo‐acoustic imaging.

Near‐infrared spectroscopy, electrical impedance spectroscopy and tomography, microwave imaging spectroscopy and photoacoustic and thermoacoustic imaging are often referred to as electromagnetic imaging. They use non‐ionizing electromagnetic radiation between the optical and RF wavelengths. MRI uses RF as well but is not normally classified as part of electromagnetic imaging.

Thermo‐ and photo‐acoustic imaging systems use hybrid imaging techniques that are able to combine the high contrast in microwave, RF and light absorption between healthy and tumour tissues with the high resolution of ultrasound. These systems use non‐ionizing radiation and are hybrid because they use both the transmission of electromagnetic energy and the reception of ultrasound waves generated by the tissues. The electromagnetic energy is deposited as a very short time impulse as uniformly as possible throughout the imaging object that causes a small amount of thermal expansion. Typical pulse widths for optical excitation are of the order of 5–10ns. The photoacoustic technique depends precisely on the absorbed photons ( Xu and Wang, 2006 ) for a signal and avoids the issues due to light scattering in optical imaging.

Due to increased haemoglobin and ionic water content tumour masses preferentially absorb more electromagnetic energy, heat and expand more quickly than nearby healthy tissue ( Joines et al., 1994 ). These masses act as internal acoustic sources that create pressure waves. Ultrasound transducers surrounding the object detect the pressure waves. The transducers that are sensitive to acoustic sources throughout the imaging field of view collect the tomographic data. Optical heating with very short wavelengths is known to provide high contrast between healthy and cancerous tissue ( Gusev and Karabutov, 1993 ; Wang and Wu, 2007 ). Imaging with optical pulses is limited by tissue absorption to a penetration depth of a few centimetres. Microwave and RF have more penetration. Microwave excitation has a less uniform distribution over large volumes and may be more suitable for pre‐clinical imaging ( Xu and Wang, 2006 ). Breast imaging has been performed using RF excitation at 434MHz with about 1μs pulse widths ( Kruger et al., 2000 ). RF at this frequency is absorbed by ionic water contained in breast tumours. Laser‐based near infrared excitation breast imaging systems have started clinical evaluation (Manohar et al., 2005 , 2007 ). The potential with photoacoustic imaging in the near infrared is due to the absorption of the infrared light by haemoglobin that can indicate regions of angiogenesis in tumours ( Pogue et al., 2001 ; Oraevsky et al., 2002 ).

Recent developments using an optical ultrasound mapping system based upon a Fabry–Perot polymer film sensor instead of piezoelectric detectors can give very highresolution images ( Zhang et al., 2008 ). The system could have applications in the study of superficial microvasculature. Photoacoustic microscopy has been used for the study of subcutaneous vasculature ( Zhang et al., 2006 ).

6.2. Electrical impedance tomography

Electrical impedance tomography (EIT) ( Bayford, 2006 ) is an imaging method that has developed over the last two decades. Its future application as a clinical diagnostic technique will depend on the development of hardware for data capture and the image reconstruction algorithms especially to take into account tissue anisotropy. It was originally developed for use in geological studies and industrial processes. The main advantage of this technique is the very good temporal resolution of the order of milliseconds and the lack of ionizing radiation.

Electrical impedance tomography (EIT) determines the electrical conductivity and permittivity distribution in the interior of a body from measurements made on its surface. Conducting electrodes are attached to the skin of the subject and small currents are applied to some or all of the electrodes and the corresponding electrical potentials are measured. The process is repeated for different configurations of the applied current.

EIT imaging in the body is based around measuring the impedance of tissues made up of cells, membranes and fluids. Cells and membranes have a high resistivity and act as small imperfect capacitors and contribute a frequency dependence. Fluids provide the resistive component of the impedance that has a frequency dependence only for liquids outside the cells. High frequencies of the order a MHz show only the resistive component due to conduction through intracellular and extracellular fluids. Low frequencies in the range of a few Hz to several kHz cause the membranes to impede the flow of current and can be used to measure dimensions, shapes and electrical properties of cells ( Geddes and Baker, 1967 ).

Two types of imaging are possible: difference imaging and absolute imaging. Difference imaging is able to relate to changes in blood volume or cell size. Absolute imaging is more difficult as it needs to account for changes in electrode impedance and channel noise.

Prototype breast imagers have been developed (Halter et al., 2001 , [Link] , 2008 , 2006 ) that look for differences in bioimpedance that can differentiate malignant from benign lesions. Clinical evaluations have been performed using 3D image reconstruction. The combination with mammography tomosynthesis aids the localization for EIT imaging ( Kao et al., 2007 ). Hand held probes are also under development ( Kao et al., 2006 ).

Skin cancer detection is another application under development for tumour imaging ( Aberg et al., 2004 ).

Future developments will be in the area of algorithm optimization and the applications of targeted metal nanoparticles for the imaging of cell biomarkers involved in carcinogenesis, invasion and metastasis. Metal nanoparticles are known to change the bioimpedance of cells.

6.3. Near infrared optical tomography

Differences in optical signatures between tissues are manifestations of multiple physiological changes associated with factors such as vascularization, cellularity, oxygen consumption, oedema, fibrosis, and remodelling.

Near‐infrared (NIR) optical tomography is an imaging technique with high blood‐based contrast. This is due to the fact that haemoglobin absorbs visible wavelength light up to the near infrared region. There is a window of opportunity in the near infrared because water absorbs the far infrared wavelengths.

Non‐invasive NIR tomographic imaging has been used in organs like the breast because they can be transilluminated externally. A small change in vascularity creates a very large image contrast. The high contrast of NIR optical tomography is mainly due to increased light attenuation by haemoglobin relative to water in parenchymal tissue and the distinct spectral differences between the oxygenated and deoxygenated states of haemoglobin.

Breast imaging studies ( Franceschini et al., 1997 ; Tromberg et al., 1997 ; Pogue et al., 2001 ; Ntziachristos et al., 2002 ) have shown high sensitivity and specificity based upon differences in vasculature due to angiogenesis in malignant tissues and several clinical trials are still proceeding.

Time domain ( Intes, 2005 ) and frequency domain ( Franceschini et al., 1997 ) imaging can give depth information not available with transmission imaging.

Recent evaluation with a four‐wavelength time domain optical imaging system has indicated the potential to differentiate malignant from benign lesions ( Rinneberg et al., 2005 ) with a statistically significant discrimination based on deoxy‐haemoglobin content. This could potentially avoid the need for invasive biopsies of benign lesions.

Although NIR optical imaging of the breast has a limited resolution due to light scattering effects it can give spectral information ( Dehghani et al., 2003 ) that permits functional measurements associated with haemoglobin concentration and oxygenation, water concentration, lipid content, and wavelength dependence of tissue scattering.

Oxygenation‐index images and perfusion/oxygenation maps can be obtained from multi‐wavelength optical data.

NIR diffuse optical tomography can distinguish cysts and solid masses ( Gu et al., 2004 ).

Near‐infrared optical tomography could also be used in endoscopy. High sampling speeds allow in vivo use for cancer detection of internal organs. Imaging of haemodynamic changes in prostate cancer ( Goel et al., 2006 ) is a potential application. The use of a transrectal probe has been investigated for prostate imaging ( Piao et al., 2007 ). A clinical system would require integrated imaging with transrectal ultrasound.

7. Nuclear medicine

7.1. applications in cancer.

Nuclear medicine systems are one of the mainstays of cancer centres both for imaging and therapy delivery. Nuclear medicine imaging has been used for over three decades in the diagnosis, treatment planning, and the evaluation of response to treatment in patients with cancer. Patient management is one of the most important applications of nuclear medicine in oncology in terms of staging of new cancer patients, restaging for treatment planning and the prediction of therapy response. Nuclear medicine can non‐invasively indicate treatment response and disease recurrence so studies can be repeated because of low side effects and the low radiation absorbed doses. It is also possible to correlate nuclear medicine results with analytical laboratory data.

7.2. Radiopharmaceutical imaging agents

Nuclear medicine employs radiopharmaceuticals: radiolabelled ligands that have the ability to interact with molecular targets involved in the causes or treatment of cancer. These exogenous agents using radionuclides are injected intravenously and are relatively non‐invasive.

Radionuclides can be α, β or γ emitters. Nuclear medicine imaging involves the use of γ radiation from radionuclides. Radioimmunotherapy uses α or β emitters.

Typical radionuclides used in nuclear medicine imaging are 131 I (half‐life 8days), 123 I (half‐life 13.3h), 111 In (half‐life 67.3h), 99m Tc (half‐life 6.02h) 201 Tl (half‐life 73h) and 67 Ga (half‐life 78h).

SPECT agents have the advantage of a relatively long half‐life. A relatively simple chemistry also permits the synthesis of ligands on site. The uptake and biodistribution of these agents depends on their pharmokinetic properties. By targeting to a disease specific biomarker it is possible to get accumulation in diseased tissue that can be imaged.

7.3. Nuclear medicine imaging systems

Imaging can be performed using planar gamma cameras (scintigraphy) or single photon emission computed tomography (SPECT) systems. SPECT permits 3D imaging. The resulting images give a physiological and functional response more than anatomical details. Recently SPECT/CT systems have been introduced with the advantage of improved attenuation correction of γ‐rays in the body. Multi‐slice CT systems are also employed in SPECT/CT for anatomic correlation.

7.4. Bone scan

The bone scan continues to have the most common use in oncology because of its good sensitivity and relatively low cost. Technetium‐based radiopharmaceuticals such as 99m Tc‐MDP, 99m Tc‐MIBI and 99m Tc(V)‐DMSA are used to detect metastases. FDG PET has however superior specificity compared to the technetium bone scan especially for bone marrow metastases. There is still considerable discussion on the relative merits of each technique ( Fogelman et al., 2005 ).

7.5. Lymphoscintigraphy and the sentinal lymph node

99m Tc‐labelled human serum albumin is used for lymphoscintigraphy to observe lymph node drainage. Its non‐particulate nature allows it to pass well through the lymphatic system but it has the disadvantage of going to second tier nodes and may not remain in the sentinel lymph node (SLN).

The sentinel node is the first lymph node met by lymphatic vessels draining a tumour ( Mariani et al., 2001 ). The absence of tumour cells in the SLN could indicate the absence of metastatic disease in other local nodes. Extensive node dissection surgery can be avoided if the sentinel node is identified and found to be free of tumour cells.

Radiocolloids are cleared by lymphatic drainage with a speed that is inversely proportional to the particle size. A particle size between 100 and 200nm is a good compromise between fast lymphatic drainage and nodal retention of the particle. Particles larger than 300nm migrate too slowly but are retained for a longer per time in the sentinel node. Particles less than 50nm progress to second or third‐tier nodes too quickly.

The permeability of the lymphatic system to colloidal particles is highest for particles less than 50nm. The optimal size for imaging lymphatic drainage has been identified as between 10 and 25nm. [ 99m Tc]Antimony sulphide nano‐colloids in this size range are no longer commercially available.

99m Tc‐sulphur micro or nano colloids are now used for sentinel lymph node imaging and typically have a mean particle size of 300nm and a range from 50 to 2000nm. They have the advantage of remaining longer in the sentinel lymph node.

Intra‐operative sentinel lymph node imaging can be performed using a hand held γ‐ray detector. Radiolymphoscintigraphy confirms the location of the SLN, which is determined initially with a pre‐operative lymphoscintigram and intra‐operative vital blue dye injection. The combination of the isotope and blue dye has a complementary effect in sentinel node localization.

Lymph node imaging ( Even‐Sapir et al., 2003 ; Mar et al., 2007 ; Lerman et al., 2007 ) is an important application of SPECT/CT.

SPECT /CT is better than planar imaging for the confirmation of the exact anatomic location of a sentinel node ( van der Ploeg et al., 2007 ).

SLN imaging has over 99% success rate for melanoma sentinel lymph node biopsy ( Rossi et al., 2006 ).

Poor visualization of the deep lymphatic system is an inherent limitation of lymphoscintigraphy. Web space injections between the toes can only show the superficial lymphatic system. As a result deep lymphatic channels originating posterior to the malleoli and running to the popliteal nodes and along the superficial femoral vein cannot normally be seen with lymphoscintigraphy.

SPECT/CT systems may aid in identification of nodes that are obscured by injection site activity, for deeply located and in‐transit nodes ( Belhocine et al., 2006 ).

7.6. Immunoscintigraphy

Immunoscintigaphy utilizes radiolabelled monoclonal antibodies to target tumour specific antigens such as CEA ( Yao et al., 2007 ).

Capromab pendetide is a murine monoclonal antibody (7E11‐C53) that reacts with prostate membrane specific antigen (PMSA). PMSA is a membrane glycoprotein that is highly expressed in prostate cancer. Immunoscintigraphy is accomplished by labelling the antibody with 111 In. Capromab pendetide is indicated in the evaluation of patients with newly diagnosed prostate cancer especially with an intermediate to high Gleason grade who are at risk for advanced disease. It is also indicated for the evaluation of patients who have had a prostatectomy or radiation therapy and who present with a rising PSA level. This is to determine whether further local therapy or systemic hormone therapy is indicated. SPECT/CT has advantages ( Wong et al., 2005 ) in the imaging of capromab pedetide.

7.7. Receptor targeting

Transferrin receptors that are markers of tumour growth, take up 67 Ga. Imaging with 67 Ga‐citrate is not used for staging because it is non‐specific due to take up by inflammatory processes but could be useful in predicting therapy response and outcome ( Front et al., 2000 ).

If 67 Ga imaging is ambiguous for example when looking for lung cancer in the presence of infection then 201 Tl in the chloride form is often used because tumours take it up and it is not normally taken up by inflamed lymph nodes.

7.8. Neuroendocrine tumour imaging

Radiopharmaceuticals used to image neuroendocrine tumours are either similar in molecular structure to the hormones that the tumours synthesize or incorporated into various metabolic and cellular processes of the tumour cells.

meta‐Iodobenzylguanidine (MIBG) also known as iobenguane, localizes to storage granules in adrenergic tissue of neural crest origin and is concentrated in catecholamine producing adrenal medullary tumours ( Intenzo et al., 2007 ).

MIBG is a combination of the benzyl group of bretylium and the guanidine group of guanethidine. It structurally resembles norepinephrine and guanethidine (a neurosecretory granule depleting agent). MIBG enters neuroendocrine cells by an active uptake mechanism. It is believed to share the same transport pathway with norepinephrine and displace norepinephrine from intra‐neuronal storage granules in adrenergic nerves.

As MIBG is stored in the neurosecretory granules this results in a specific concentration in contrast to cells of other tissues. Uptake is proportional to the number of neurosecretory granules within the tumour. In neuroblastomas, the agent remains within the cellular cytoplasm, free of granular storage. The retention in neuroblastomas is related to the rapid re‐uptake of the agent that has escaped the cell ( Shulkin et al., 1998 ).

MIBG scintigraphy is used as a sulphate with 131 I or 123 I to image tumours of neuroendocrine origin ( Ilias et al., 2003 ; Kumar and Shamim, 2004 ; Bergland et al., 2001 ; Kushner et al., 2003 ), particularly those of the sympathoadrenal system (phaeochromocytomas, paragangliomas and neuroblastomas) and other neuroendocrine tumours (carcinoids, medullary thyroid carcinoma, etc.).

Due its superior imaging characteristics, the sensitivity of 123 I‐MIBG scintigraphy is higher than that of 131 I‐MIBG. SPECT is also possible with 123 I‐MIBG.

Neuroendocrine tumours are formed from tissue that embryologically develops into neurons and neuronal structures. Neuroendocrine tumours are derived from embryonic neural crest tissue found in the hypothalamus, pituitary gland, thyroid gland, adrenal medulla and the gastrointestinal tract.

The uptake–re‐uptake system preserves norepinephrine in sympathetic neurons.

Octreotide, a somatostatin analogue consisting of eight amino acids, is used to perform somatostatin receptor imaging. Octreotide is labelled with 111 In and chelated with DTPA to make the radiopharmaceutical [ 111 In]DTPA‐ d ‐Phe‐octreotide also known as [ 111 In]pentetreotide. It has a half‐life in plasma of nearly 2h. Somatostatin has a half‐life of only 2–4min due to the disruption of its molecular structure by circulating enzymes.

Somatostatin, a 14 amino acid peptide hormone, is produced in the hypothalamus and pancreas to inhibit the release of growth hormone, insulin, glucagon and gastrin. Somatostatin receptors are integral membrane glycoproteins distributed in different tissues. They are receptors on neuroendocrine originating cells. These include the somatotroph cells of the anterior pituitary gland and pancreatic islet cells. Endocrine related tumours such as neuroendocrine tumours have somatostatin receptors. These include pancreatic islet cell tumours that include gastrinomas, insulinomas, glucagonomas and vasoactive intestinal peptide (VIP‐)‐omas, carcinoid tumours, some pituitary tumours, small cell lung carcinomas, neuroblastomas, pheochromocytomas, paragangliomas and medullary thyroid carcinoma. Somatostatin receptors are also found in Hodgkin's and non‐Hodgkin's lymphomas, Merkel cell tumours of the skin, breast cancer, meningiomas and astrocytomas.

7.9. Radioimmunotherapy and peptide receptor radionuclide therapy

Scintigraphy imaging is used for dosimetry measurements when performing radioimmunotherapy (RIT) or peptide receptor radionuclide therapy (PRRT).

RIT and PPRT have the possibility to specifically irradiate tumours while sparing healthy organs. Fractionated external beam irradiation (XRT), does not permit precise focusing of the beam specifically to a tumour without affecting proximal healthy organs, especially in metastatic disease. RIT and PRRT involve continuous, low‐dose irradiation from tumour‐targeted radionuclides. The biological effect is due to energy absorption from the radionuclide's emissions.

Cells express receptor proteins on their plasma membranes, with high affinity for regulatory peptides, such as somatostatin, bombasin and the neuropeptide NPY (Y 1 ). For example, NPY (Y 1 ) is involved in both proliferation and angiogenesis. Over expression of these receptors in many tumours is the basis for peptide receptor imaging and therapy. Radiolabelled somatostatin, bombasin and NPY (Y 1 ) analogues are used in scintigraphy for the visualization of receptor‐positive tumours. 111 In‐DTPA‐octeotride, for example, is used for somatostatin receptor scintigraphy imaging. These analogues have also been labelled with therapeutic radionuclides (α and β) for PRRT individually or in combination for multi‐receptor targeting. An example is the use of 90 Y‐DOTATOC as a somatostatin receptor‐based radionuclide therapeutic agent.

The β‐particle emitters such as 131 I, 90 Y, 186 Re and 188 Re have a tissue range of several millimetres. This can create a “crossfire” effect so that antigen or receptor negative cells in a tumour can also be treated. β‐particle therapy is preferred for large tumours. Other β‐emitters that have been studied are 177 Lu and 67 Cu.

The short range, high energies and high linear energy transfer (LET) of α particles should be better suited for treatment of micrometastases or circulating tumour cells. The α‐particle emitters such as 225 Ac (half‐life 10days), 211 At (half‐life 7.2h), 212 Bi (half‐life 60.55min) and 213 Bi (half‐life 45.6min) could also be more efficient and specific in killing tumour cells.

The use of two and three step pre‐targeting techniques ( Albertoni, 2003 ) based on the avidin‐biotin system is showing promise in improving the performance of RIT. Further work on intra‐operative pre‐targeting could be an alternative to fractionated radiotherapy in SLN negative breast cancer patients under going breast conserving surgery ( Paganelli et al., 2007 ). In a two‐step technique, intra‐operative injection of avidin in the tumour bed after quadrantectomy causes intravenously (IV) administered radioactive biotin labelled with 90 Y to home in onto the target site. Dosimetric and pharmacokinetic studies with 111 In‐DOTA‐biotin give scintigraphic images at different time points provided evidence of a fast and stable uptake of labelled DOTA‐biotin at the site of the operated breast. Chelation with DOTA inhibits the release of 90 Y that would otherwise build up in bone. 111 In is a γ‐ray emitting isotope that can be imaged by scintigraphy and mimics the dosimetry of 90 Y that cannot be imaged. The scintigraphic images are acquired over a 48‐h period after injection.

7.10. Scintimammography

Future developments in nuclear medicine will be in the area of development of specialized imaging systems. One example where further development of specialized gamma cameras will be of use is in breast and axillary node imaging using scintimammography. This is due to the need to avoid scatter from extramammary sources that plays an important role in breast imaging with radiotracers, and is the dominant effect when imaging near the chest wall is used for mammoscintigraphy. Conventional gamma cameras, also known as large field of view cameras, have been used to image radiopharmaceuticals for scintimammography. These cameras have a large inactive area at the edge of the detector that prevents the camera from imaging breast tissue adjacent to the chest wall. As a result scintimammography using a conventional gamma camera is typically performed either with the patient supine and the camera positioned to take a lateral view of the breast, or in the prone position that permits the breast to hang freely. Compression of the breast is not possible, thus decreasing the sensitivity for detecting smaller lesions. Dedicated breast specific gamma camera imaging (BSGI) systems ( Coover et al., 2004 ; Rhodes et al., 2005 ; Brem et al., 2005 ; O'Connor MK et al., 2007 ) have been developed to reduce the limitations of conventional scintimammography. These cameras have a small field of view that increases the resolution and gives improved flexibility of movement compared to conventional gamma cameras. Some systems allow positioning similar to that of an X‐ray mammogram with the possibility of applying compression to the breast during imaging. Improvement in this technology has renewed interest in scintimammography as a potential primary screening technique. It would be important to develop a biopsy system to be used with breast specific gamma cameras. 99m Tc‐sestamibi is a second‐line diagnostic test after mammography approved to assist in the evaluation of breast lesions in patients with an abnormal mammogram of breast mass ( Sampalis et al., 2003 ; Khalkhali et al., 2002 ). False positives can be caused by uptake of the radiotracer in the chest as a result of physiological activity in the auricular aspect of the right atrium ( Civelek et al., 2006 ). A recent study ( Brem et al., 2007 ) has shown a breast specific gamma camera imaging system has comparable sensitivity and greater specificity than MRI ( Sweeney and Sacchini, 2007 ) for the detection of breast cancer in patients with equivocal mammograms. The smallest cancer detected by BSGI was 3mm. Current recommendations for the use of scintimammography are:

As a general adjunct to mammography to differentiate between benign and malignant breast lesions in patients with palpable masses or suspicious mammograms
In patients referred for biopsy when lesions are considered to have a low probability of malignancy
In patients with probably benign findings on mammography but who are recommended for close follow‐up (e.g., repeat mammography in 3–6months)
In patients who have dense breast tissue on mammography who are considered difficult to evaluate on mammography
For detection of axillary lymph node metastases in patients with confirmed breast cancer.

7.11. Angiogenesis imaging

Cell adhesion molecules, such as integrins, have a major role in angiogenesis and metastasis. The integrin α v β 3 recognizes the RGD (Arg‐Gly‐Asp) sequence. 99m Tc RGD peptides ( Fani et al., 2006 ; Liu, 2007 ; Zhang and Cheng, 2007 ) have been developed for scintigraphy imaging of angiogenesis and have potential for early detection of breast cancer and following response to anti‐angiogenic therapy ( Jung et al., 2006 ).

There is a developing interest in using scintigraphy to follow drug delivery using nanoparticles as drug delivery systems ( Liu and Wang, 2007 ). Pre‐clinical studies can use radiolabelling to evaluate the biodistribution of carbon functionalized nanotubes (CNT). Future drug delivery systems may use carbon CNT to transport and translocate therapeutic molecules. It is possible to functionalize CNT with bioactive nucleic acids, peptides, proteins, and drugs for delivery to tumour cells. Functionalized CNT have increased solubility and biocompatibility, display low toxicity and are not immunogenic.

7.12. Multi‐drug resistance imaging

Radiopharmaceutical agents with lipophilic or cationic properties signal the presence or absence of P‐glycoprotein. 99m Tc‐MIBI, 99m Tc‐tetrofosmin, 99m Tc‐Q58, and several 11 C PET agents share these characteristics but 99m Tc MIBI has shown the most promise. In the absence of P‐glycoprotein the lipophilicity of 99m Tc‐MIBI enables it to translocate across the cell membrane and its cationic charge allows it to concentrate inside the cell and be sequestered in the mitochondria. The agent uptake is consequently high.

In the presence of P‐glycoprotein 99m Tc‐MIBI acts like a therapeutic agent and is pumped out of the cell. The uptake is low and quantifiable and the radiopharmaceutical can measure the effectiveness of drugs designed to treat multi‐drug resistance.

8. PET and PET/CT

8.1. pet radioisotopes.

PET cancer imaging utilizes positron‐emitting radioisotopes, created in a cyclotron, like 18 F, 11 C, 64 Cu, 124 I, 86 Y, 15 O and 13 N or in a generator like 68 Ga.

The most widely used isotope is 18 F due to the practicality of transport with a half‐life of 109.8min. Various tracers labelled with 18 F, 11 C and 68 Ga and imaged with a PET/CT system are shown in Figure 13 .

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Examples of PET tracers in oncology where endogenous substances are framed (courtesy of Imanet Uppsala).

Some of these tracers are in development and used for research. The research tracers are not products and may never become commercial products.

The only two FDA approved tracers for oncology imaging are [ 18 F]2 fluoro‐ d ‐deoxyglucose ( 18 F‐FDG) a substrate for hexokinase in glucose metabolism and [ 18 F]fluoride ions such as 18 F‐NaF 2 that are incorporated in the hydroxyapatite crystals in bone for bone imaging.

The unique perspective of 11 C chemistry is that many tracers based on 11 C are endogenous compounds in the human body such as the amino acids methionine and hydroxytryptophan, the neurotransmitter hydyroxyephedrine and the energy substrate /fatty acid acetate. Other compounds such as 18 F‐FDG and 18 F‐FDOPA are analogues of endogenous substances.

Manmade drug‐based tracers are of great interest. [ 11 C]Metomidate (1 H ‐imidazole‐5‐carboxylic acid, 1‐[(1 R )‐1‐phenylethyl]‐methyl ester hydrochloride), a vetinary sedative and an inhibitor of 11β‐hydroxylase is an example of synthetic drug like tracers that are connecting tracer development to the imaging of proteins involved in disease processes.

Vorozole (6‐[(4‐chlorophenyl)‐(1,2,4‐triazol‐1‐yl)methyl]‐1‐methyl‐benzotriazole) is an imidazole‐based inhibitor of aromatase that was initially developed as a therapy for breast cancer. [ N ‐methyl‐ 11 C]Vorozole, a high‐affinity aromatase‐binding radiotracer is being developed for use in imaging ovarian and breast cancer.

Another synthetic drug‐based tracer is 18 F‐RGD peptide (arginine‐glycine‐aspartic acid) is an example of an integrin binding agent currently being investigated for angiogenesis imaging. This tripeptide motif can be found in proteins of the extracellular matrix. Integrins link the intracellular cytoskeleton of cells with the extracellular matrix by recognizing this RGD motif. Without attachment to the extracellular matrix, cells normally undergo anoikis a form of apoptosis that is induced by anchorage‐dependent cells detaching from the surrounding extracellular matrix (ECM). Soluble RGD peptides induce apoptosis and might be used as drugs against angiogenesis, inflammation and cancer metastasis since small soluble peptides containing the RGD motif inhibit cell attachment and consequently induce apoptosis.

FDG is also related to an endogenous substrate but it is an analogue. Oncological applications of 18 F‐FDG approved in the US are shown in Figure 14 .

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US covered PET indications in oncology.

All other tracers under investigation except [ 18 F]fluoride are used for research purposes in clinical and pre‐clinical imaging.

An example of an 18 F‐based research tracer is 18 F‐FHBG (9‐(4‐[ 18 F]fluoro‐3‐hydroxymethylbutyl)guanine) that is used as a reporter probe for the herpes simplex virus type 1 thymidine kinase (HSV1‐tk) gene, which is transfected into malignant cells in experimental suicide gene therapy. 18 F‐FHBG has also been used for the imaging of human mesenchymal stem cells (hMSCs) expressing HSV1‐tk ( Hung et al., 2005 ).

11 C is potentially a much more interesting radioisotope but its use so far has been limited due its short half‐life of 20.4min. There is however the potential to make smaller and less costly cyclotrons and for developments in carbon chemistry and in particular the use of [ 11 C]carbon monoxide as a versatile and useful precursor in labelling chemistry ( Långström et al., 2007 ).

124 I (half‐life 4.2days) has been used to label agents for apoptosis imaging such as annexin V, new tumour targeting agents such as phospho‐lipid ether (PLE) and antibody fragments where the physical half‐life of 124 I matches the biological half‐life of the antibody fragments.

68 Ga (half‐life 68.1min) prepared in a generator shows a lot of promise for the labelling of peptides and antibodies for targeted imaging. It has also the potential to be used to label cancer stem cells (CSCs). Cancer stem cells can originate from mutations in normal somatic stem cells that deregulate their physiological programs. Mutations could also target more committed progenitor cells and mature cells that are re‐programmed to acquire stem‐like functions.

64 Cu (half‐life 12.7h) may have a use in specialized imaging such as the identification of areas of hypoxia or measurement of blood flow with 64 Cu ATSM (copper‐diacetyl‐bis( N 4 ‐methylthiosemicarbazone) and [ 64 Cu]copper‐pyruvaldehyde‐bis( N 4 ‐methylthiosemicarbazone ( 64 Cu‐PTSM) or for the labelling of antibodies, peptides and nanoparticles that have been conjugated to DOTA.

15 O 2 (half‐life 2.03min) is used as [ 15 O]H 2 O to measure tissue perfusion and blood flow in response to anti‐angiogenic therapy. Due the very short half‐life this radioisotope has to be used directly from a cyclotron.

13 N (half‐life 9.97min) is used as [ 13 N]ammonia ( 13 N‐NH 3 ) to measure blood flow to determine the grade of brain tumours and identify benign brain lesions. This isotope also has to be used directly from a cyclotron.

74 As (half‐life 17.8days) is being used to label antibodies because of its long half‐life.

8.2. FDG PET

PET and in particular PET/CT promise to have a big impact on the management of cancer patients. Currently most cancer imaging is based on the tracer 18 F‐FDG that is an analogue of glucose. It is transported across the plasma membrane into cells by the glucose transport proteins such as glut 1 and glut 3 down a concentration gradient through a process of facilitated transport. Glut 1 and glut 3 are over expressed in tumour cell membranes. Hexokinase in the cell phosphorylates the 18 F‐FDG into the 6‐phospho form. As glut transporters do not transport the phosphorylated form it remains in the cell whereas normal glucose is removed. 6‐Phospho‐ 18 F‐FDG cannot be further metabolized and therefore accumulates in cells. With the development of ultra‐fast PET systems in the future it would be interesting to be able to perform dynamic studies of glucose metabolism using a [ 11 C]glucose tracer.

In tumours, 18 F‐FDG PET uptake correlates with the rate of glycolysis that is far greater in neoplastic tissues than in the normal tissues from which the neoplasia develops ( Larson et al., 1999 ). In order to evaluate the usefulness of 18 F‐FDG‐based PET imaging in cancer management the National Oncological PET Registry has been set up in the USA ( Hillner et al., 2007 ). 18 F‐FDG uptake is believed to be related to the underlying cancer biology and to predict aggressive tumour behaviour and treatment response. 18 F‐FDG PET is being validated as a true surrogate that could be used in evaluating treatment response of tumours in place of classic endpoints such as those based on RECIST ( Therasse et al., 2000 )that are not completely satisfactory. For example in correlation with time to failure (TTF), 18 F‐FDG PET, is competitive with CT optimized bi‐dimensional measurements of no growth from baseline to 1month as an early prognostic indicator of response to imatinib mesylate in patients with a gastrointestinal stromal tumour (GIST) ( Holdsworth et al., 2007 ). The use 18 F‐FDG PET to evaluate chemotherapy response of patients with non‐small cell lung cancer correlates with patient outcome ( de Geus‐Oei et al., 2007 ).

The common measurement used by PET is the standard uptake value (SUV) ( Huang, 2000 ). The SUV is defined by tumour activity per dose injected per body mass. It is proportional to the glucose metabolic rate within the normal range of serum glucose concentration. The metabolic response is defined by the percentage change of post‐therapy SUV from the pre‐therapy SUV. The rate‐limiting step for FDG uptake and retention in most tissues is phosphorylation rather than transport.

The maximum standardized uptake value has been shown to predict prognosis in some cancers. These include lung cancer ( Downey et al., 2004 ), oesophageal cancer ( Rizk et al., 2006 ) and thyroid cancer ( Robbins et al., 2006 ). The SUV value can also help differentiate between indolent and aggressive lymphomas ( Schoder et al., 2005 ).

There are multiple examples of the use of 18 F‐FDG PET to predict treatment response in several cancers such as non‐Hodgkin's lymphoma ( Juweid et al., 2005 ), oesophageal cancer ( Downey et al., 2003 ; Kato et al., 2007 ), colorectal cancer ( Cascini et al., 2006 ; de Geus‐Oei et al., 2008 ) and breast cancer ( McDermott et al., 2007 ; Tardivon et al., 2006 ; Rousseau et al., 2006 ; Su et al., 2006 ) as well as lung cancer ( Wong et al., 2007 ).

The use of 4D PET/CT imaging with respiratory compensation in the thorax improves the accuracy of SUV measurements. Incorporating metabolic change by PET into concomitant size change by CT is more sensitive and accurate in predicting local control than CT alone. Delayed imaging can avoid the inflammatory effects of post radiation therapy.

In patients with locally advanced adenocarcinomas of the oesophago‐gastric junction, relative changes in tumour FDG uptake are better predictors for treatment outcome after pre‐operative chemotherapy than absolute SUVs ( Wieder et al., 2007 ). Metabolic changes within the first 2weeks of therapy are at least as efficient for prediction of histopathologic response and patient survival as later changes.

The potential underlying mechanisms causing changes in 18 F‐FDG uptake as an indicator of early response after therapy have been reviewed ( Linden et al., 2006a ).

8.3. Acetate and choline PET imaging

Not all cancers are visualized well with 18 F‐FDG PET. [ 11 C]Acetate or [ 18 F]acetate are activated to acetyl‐CoA in both the cytosol and mitochondria by acetyl‐CoA synthetase. [ 11 C]Acetate has been used as a tracer for renal, pancreatic, liver, lung and prostate tumours. [ 11 C]Acetate PET could be useful to diagnose pulmonary nodules with ground‐glass opacity images that are not identified by FDG PET ( Nomori et al., 2005 ).

Well‐differentiated HCC tumours are detected by [ 11 C]acetate and 18 F‐FDG detects poorly differentiated types. The two tracers are complementary for liver imaging ( Ho et al., 2003 ).

Visualization of prostate cancer with 18 F‐FDG as the radiopharmaceutical is limited by the low uptake of FDG in the tumour and by radioactivity excreted into the bladder. Serum testosterone levels influence glucose and acetate metabolism in the prostate. Acetate is converted into fatty acids by the enzyme fatty acid synthetase (FAS) that is over expressed in cancer cells and [ 11 C]acetate is also mainly incorporated into intracellular phosphatidylcholine membrane microdomains that play a key role in tumour growth and metastasis. [ 11 C]Acetate has been utilized for early detection of recurrence of prostate cancer after prostatectomy when salvage radiotherapy may still have a chance of success ( Sandblom et al., 2006 ). [ 11 C]Acetate PET has been shown to have a higher sensitivity than 18 F‐FDG PET for detection of recurrent prostate cancer and metastases ( Oyama et al., 2003 ). A limitation of [ 11 C]acetate PET imaging of the prostate is that SUVs for normal prostate and benign prostate overlap significantly with those for prostate cancer ( Kato et al., 2002 ).

It is thought that the malignant transformation of cells is associated with the induction of choline kinase activity, with increased demand on phospholipids attributed to proliferation and that choline modulates the signalling process of cell proliferation and differentiation ( Zeisel, 1993 ).

Prostate cancer has a phospholipid metabolism. 11 C labelled choline a substrate for choline kinase in choline metabolism is potentially useful as it is incorporated in the cell membrane phospholipids through phosphorylcholine synthesis as phosphatidylcholine that is up‐regulated in cancer.

[ 11 C]Choline is readily taken up in prostate cancer by both the primary tumour and the lymph node metastases. There is almost no uptake in the bladder due to low and delayed renal excretion. Positive [ 11 C]choline PET–CT in the prostatic fossa indicates local recurrence after radical prostatectomy but negative PET–CT is not correlated with the absence of tumour ( Wiegel, 2007 ). A correlation has been shown between PSA levels and potential need for an [ 11 C]choline study to identify recurrence ( Vormola et al., 2007 ). A disadvantage of [ 11 C]choline is that it will not distinguish between benign prostate hyperplasia (BPH) and prostate cancer.

[ 11 F]Choline has been investigated for staging and restaging of prostate cancer ( Husarik et al., 2008 ) but initial results were disappointing due to the difficulty in detecting small metastases. [ 11 F]Choline may have an application in imaging of bone metastases from prostate cancer ( Beheshti et al., 2007 ) particularly in the bone marrow and in early sclerotic and lytic changes of the bone when [ 18 F]fluoride imaging is negative. [ 18 F]Fluoride normally identifies dense sclerotic lesions but not ultra‐dense sclerotic lesions.

Other potential areas of application of [ 11 C]choline PET–CT include the brain, the thorax and the bones. Bronchoalveolar carcinoma has a very low uptake of FDG so that inflammation may lead to over estimation of aggressiveness.

18 F‐FDG is not useful for the diagnoses or therapy control of brain tumours due to the high uptake by normal brain tissue and the accumulation as a result of radiotherapy induced inflammation in tumour tissues. [ 11 C]Choline PET and MRI may provide an accurate method to identify high‐grade gliomas ( Ohtani et al., 2001 ).

8.4. Neuroendocrine tumour targeted tracers

Neuroendocrine tumours (NETs) are able to express cell membrane neuroamine uptake mechanism and/or specific receptors such as somatostatin receptors. The most common gastrointestinal neuroendocrine tumours, arising from enterochromaffin cells of the gastrointestinal tract are carcinoids. They are clinically less aggressive than the more common intestinal adenocarcinoma and typically occur as well‐circumscribed round submucosal lesions.

FDG PET is not very useful for imaging gastropancreatic neuroendocrine tumours. Only tumours with high proliferative activity and low differentiation show an increased FDG uptake.

PET molecules under evaluation are also showing promise in the imaging of neuroendocrine tumours. These molecules include:

– [ 11 C]5‐hydroxytryptophan ( 11 C‐5‐HTP), a serotonin precursor
– [ 11 C]hydroxyephedrine ( 11 C‐HED), a catecholamine analogue
– [ 11 C]epinephrine ( 11 C‐EPI), a catecholamine analogue
– [ 11 C]metomidate ( 11 C‐MTO),11β‐hydroxylase inhibitor
– [ 11 C]etomidate ( 11 C‐ETO), 11β‐hydroxylase inhibitor
– [ 18 F]metomidate ( 18 F‐FMTO), 11β‐hydroxylase inhibitor
– [ 18 F]etomidate ( 18 F‐FETO), 11β‐hydroxylase inhibitor
– [ 11 C] l ‐dihydroxyphenylalanine ( 11 C‐L‐DOPA), amine precursor
– [ 18 F]dihydroxyphenylalanine ( 18 F‐DOPA), amine precursor
– 6‐[ 18 F]dopamine ( 18 F‐DA), norepinephrine transporter substrate
– [ 68 Ga]DOTA‐octreotide, somatostatin receptor SSTR‐III binding
– [ 68 Ga]DOTA‐NOC, somatostatin receptors SSTR‐II, III, V binding
– [ 68 Ga]DOTATATE, somatostatin receptor SSTR‐II binding
– [ 68 Ga]DOTATOC, somatostatin receptor SSTR‐II binding

Carcinoid tumours produce serotonin via precursors tryptophan and 5‐hydroxytryptophan (5‐HTP). Serotonin is synthesized from the amino acid tryptophan by hormone‐producing enterochromaffin cells in the gut and bronchi. Serotonin increases the dilation of blood vessels and platelet aggregation. Serotonin is metabolized in the liver to 5‐HIAA (5‐ hydroxyindole acetic acid) and eventually ends up in the urine.

The 11 C‐labelled amine precursors 11 C‐5‐HTP ( Eriksson et al., 2002 ) and 11 C‐L‐DOPA have been developed for PET imaging of these tumours. 11 C‐5‐HTP has a higher uptake in endocrine pancreatic tumours. 11 C‐5‐HTP PET is better than CT and somatostatin receptor scintigraphy for tumour visualization. Small, previously overlooked lesions can be diagnosed by 11 C‐5‐HTP PET. There is a strong correlation during treatment between changes in the transport rate constant at repeated PET and those of urinary 5‐hydroxyindole acetic acid (U‐HIAA). This indicates the possible use of 11 C‐5‐HTP PET also for therapy monitoring. The pre‐medication of patients with carbidopa ((2 S )‐3‐(3,4‐dihydroxyphenyl)‐2‐hydrazinyl‐2‐methyl‐propanoic acid) orally before PET blocks the aromatic amino acid decarboxylase enzyme. As a result the decarboxylation rate of 11 C‐5‐HTP decreases, leading to a 300% higher tumour uptake and 600% less urinary radioactivity concentration and a reduction of streak artefacts.

11 C‐HED is a catecholamine analogue and its uptake reflects catecholamine transport and storage and neuronal reuptake. Phaeochromocytomas are chromaffin cell tumours that produce catecholamines. 11 C‐HED has depicted both phaeochromocytomas and neuroblastomas with high sensitivity, specificity and accuracy ( Trampal et al., 2004 ).

The catecholamine analogue 11 C‐EPI has also been used to localize phaeochromocytomas ( Shulkin et al., 1995 ).

Dopamine is a better substrate for the norepinephrine transporter than most other amines, including norepinephrine. 18 F‐DA a sympathoneuronal imaging agent is a highly specific for the localization of adrenal and extra‐adrenal phaeochromocytomas, including metastatic lesions ( Ilias et al., 2003 ).

Imaging of malignant phaeochromocytomas by 68 Ga‐DOTATATE may be indicated for therapy with 90 Y‐labelled DOTATATE ( Win et al., 2007 ).

68 Ga‐DOTATOC uptake in neuroendocrine tumours is mainly dependent on receptor binding and fractional blood volume. Pharmacokinetic data analysis can help to separate blood background activity from the receptor binding that may help to optimize planning of 90 Y‐DOTATOC therapy ( Koukouraki et al., 2006 ).

MTO is an inhibitor of 11β‐hydroxylase, an important enzyme in the biosynthesis of cortisol and aldosterone in the adrenal cortex. Due to the binding of MTO to the 11β‐hydroxylase activity, the differential diagnosis of adrenocortical carcinomas versus other adrenal tumours such as phaeochromocytomas is possible using 11 C‐MTO also in the presence of extended necrosis ( Hennings et al., 2006 ). 18 F‐FETO has also shown promise in imaging for adrenocortical imaging ( Wadsak et al., 2006 ).

8.5. Cancer related processes

PET molecules are under development to image processes influencing cancer progression and treatment response such as proliferation, transport, blood flow, angiogenesis, apoptosis and hypoxia. These processes are inter‐related as for example in the case of hypoxia.

8.6. Hypoxia imaging

Hypoxia activates various agents including Hypoxia‐inducible factor‐1 (HIF‐1α and HIF‐1β), activation protein‐1 (AP‐1) and heat shock proteins (HSP). These agents affect the behaviour of genes that control angiogenesis (HIF‐1 upregulates the mRNA of VEGF), cell cycle regulation and apoptosis. In combination, they encourage cancer cells to divide and metastasize more rapidly through anaerobic glycolysis that is a transcription factor for HIF‐1.

Hypoxia reduces the cancer‐killing power of radiotherapy, chemotherapy, photodynamic therapy and surgical therapy. Oxygen is an important mediator of radiation‐induced DNA damage. As a result low pO 2 levels in the tumour significantly impede the ability of radiation to kill tumour cells by as much as 300%. Hypoxia can vary regionally and over time. As a result radiotherapy plans based on a static image of hypoxia may be misleading. In general chronic rather than transient hypoxia is the dominant component. Chronic hypoxia is probably due to a large distance between tumour cells and blood vessels. Transient hypoxia may be due to blood flow variations.

Compounds for PET imaging of hypoxia that include fluorinated nitroimidazole nucleoside analogues 18 F‐FMISO ( Kob et al., 1992 ; Rajendran et al., 2006 ) (fluoromisonidazole) and [ 18 F](1‐(5‐fluoro‐5‐deoxy‐alpha‐ d ‐arabinofuranosyl)‐2‐nitroimidazole) ( 18 F‐FAZA) ( Grosu et al., 2005 ; Beck et al., 2007 ), [ 18 F]fluoroerythronitroimidazole ( 18 F‐FETNIM) ( Lehtio et al., 2003 ), [ 18 F][2‐(2‐nitro‐1 H ‐imidazol‐1‐yl)‐ N ‐(2,2,3,3,3‐pentafluoropropyl) acetamide] ( 18 F‐EF5) ( Evans et al., 2006 ) and [ 64 Cu]Cu‐diacetyl‐bis ( N 4 ‐methylthiosemicarbazone ( 64 Cu‐ATSM) ( Yuan et al., 2006 ) are being evaluated for hypoxia imaging.

18 F‐FMISO binds covalently to intracellular macromolecules upon reduction at low oxygen levels. In the presence of oxygen, the molecule is re‐oxygenated to its lower reactivity parent compound that is eliminated from the tissue ( Thorwarth et al., 2005 ). 18 F‐FMISO has shown promise for predicting response to radiotherapy in patients with head and neck cancer and non‐small cell lung cancer ( Eschmann et al., 2005 ).

Slow specific accumulation and clearance from normoxic tissues will limit the clinical use of 18 F‐MISO. 18 F‐FAZA and 18 F‐FETNIM have faster clearance due to reduced lipophilicity ( Lehtio et al., 2001 ; Sorger et al., 2003 ). 18 F‐FETNIM and 18 F‐FMISO have similar intra‐tumoural uptake but 18 F‐FMISO has more uptake in normal tissues than 18 F‐FETNIM ( Grönroos et al., 2004 ). 18 F‐FAZA has been used for clinical imaging of head and neck cancer patients ( Souvatzoglou et al., 2007 ).

8.7. DNA proliferation and protein synthesis imaging

As a consequence of tumour therapy, changes in DNA proliferation occur more rapidly than changes in glucose metabolism. DNA proliferation imaging is possible through the use of the nucleoside analogues [2‐ 11 C]thymidine ( Wells et al., 2004 ), [ 18 F1‐(2′‐deoxy‐2′‐fluoro‐beta‐ d ‐arabinofuranosyl)thymine ( 18 F‐FMAU) ( Sun et al., 2005 ) and [ 18 F]3′‐deoxy‐3′‐[ 18 F]fluorothymidine) ( Barthel et al., 2003 ; Herrmann et al., 2007 ). Glucuronidation of 18 F‐FLT and 18 F‐FMAU leads to high background radioactivity and limits their use in the liver.

Cytosolic S‐phase‐specific thymidine kinase 1 (TK1) regulates the uptake of 18 F‐FLT. 18 F‐FLT has potential as a marker for monitoring anti‐proliferative therapy in tumours and shows more reduction in uptake than 18 F‐FDG after chemotherapy. In the evaluation of brain tumours, 18 F‐FLT ( Chen et al., 2005 ) has more sensitivity, more correlation with proliferation markers (Ki‐67) and is a better predictor of progression and survival than 18 F‐FDG. 18 F‐FDG has the disadvantage of high uptake by normal brain tissue so 18 F‐FLT is better than 18 F‐FDG in determining the grade of gliomas.

Due to increased protein synthesis amino acid uptake in tumour tissue is higher than that in normal tissue. Amino acids have a small involvement in inflammatory cell metabolism compared to glucose. As a result amino acid‐based PET radiopharmaceuticals have the potential to be more specific than 18 F‐FDG ( Kubota et al., 1989 ). Most amino acid PET studies have been made with [methyl‐ 11 C] l ‐methionine ( 11 C‐MET).

11 C‐MET has also more sensitivity than 18 F‐FLT in the detection of gliomas and is better suited for imaging the extent of gliomas than 18 F‐FDG, because it is transported specifically into the tumours but only very slightly into normal brain tissue ( Jacobs et al., 2005 ).

The disadvantage of 11 C‐MET is that methionine is involved in several metabolic pathways such as transmethylation and polyamine synthesis. The accumulation of non‐protein metabolites in tumour tissue makes it difficult to quantify protein synthesis ( Jager et al., 2001 ).

l ‐[1‐ 11 C]Tyrosine ( 11 C‐TYR) is a carboxyl‐labelled amino acid that has the potential to determine protein synthesis rates ( Bolster et al., 1986 ; Willemsen et al., 1995 ) in tumour tissue due to its irreversible main metabolic pathway producing 11 CO 2 .

11 C‐TYR PET has been used for the visualization and protein synthesis rate assessment of laryngeal and hypopharyngeal carcinomas ( De Boer et al., 2002 ). Head and neck cancer is a difficult area for 18 F‐FDG PET due to the presence of inflammatory regions.

8.8. Angiogenesis imaging

RGD peptides bind to α v β 3 integrins that are specifically expressed on proliferating endothelial cells and tumour cells and have been developed for the imaging of angiogenesis with MRI USPIO contrast agents, ultrasound microbubble contrast agents, fluorescence imaging agents, scintigraphy tracers and PET tracers. RGD peptides have been labelled with tracers such as 18 F ( Chen et al., 2004a ; Beer et al., 2006 ), 64 Cu ( Chen et al., 2004b ) and 125 I ( Chen et al., 2004c ). Due its 68‐min half‐life 68 Ga is very suitable for labelling peptides and could be used to label RGD peptides in the future. 68 Ge/ 68 Ga generators with microwave acceleration are being developed for preparing high purity 68 Ga that are GMP compliant with a high specific radioactivity of 68 Ga ( Velikyan et al., 2004 ).

Angiogenesis imaging with dimeric 18 F‐RGD peptides has improved performance versus momomeric 18 F‐RGD peptides for the quantitative PET imaging of tumour integrin α v β 3 expression ( Zhang et al., 2006b ). The dimeric RGD peptide has nearly an order of magnitude higher integrin‐binding affinity than the monomeric analogue. This may be due to the receptor binding of one RGD domain greatly enhancing the local concentration of the other RGD domain near the receptor. This could cause a faster rate of receptor binding or a slower rate of dissociation from the radiolabelled RGD dimer. As a result there is a slower wash‐out. A dimeric RGD peptide–paclitaxel conjugate model has been developed for integrin‐targeted anti‐angiogenic drug delivery ( Chen et al., 2005 ).

Vascular endothelial growth factor (VEGF) is the most important regulator of angiogenesis and VEGF has been labelled with 64 Cu for PET imaging ( Cai et al., 2006 ; Backer et al., 2007 ).

Angiogenesis and lymphangiogenesis are both regulated by the VEGF receptors.

8.9. Blood flow imaging

The short half‐life tracers 15 O 2 ‐H 2 O and 13 N‐NH 3 permit rapid sequential scanning. They are used as dynamic PET blood flow imaging agents to control anti‐angiogenic therapy and to determine tumour grade in brain tumours.

Measuring perfusion with 15 O 2 ‐H 2 O, has been used as a method to monitor anti‐angiogenic therapy ( Herbst et al., 2002 ; Anderson et al., 2003 ).

Tumour to white matter count and perfusion index measurements can differentiate brain lesions ( Zhang et al., 2006a ). 13 N‐NH 3 PET is able to distinguish recurrent astrocytoma from radiation necrosis ( Zhang and Chen, 2007 ).

8.10. Apoptosis imaging

Apoptosis is a physiological process that entails selective programmed cell death. Abnormal control of apoptosis occurs in tumours. Different stimuli such as drugs, radiation, ischaemia can initiate apoptosis through activation of proteolytic enzymes that cause nuclear fragmentation and cell lysis.

Apoptosis imaging can be performed through targeting of extracellular and intracellular products of programmed cell death. A vital step for apoptosis is the externalization on the outer side of cell membranes of phosphatidylserine a phospholipid that is normally present on the internal side of the cell membrane. Annexin V is able to identify extracellular phosphatidylserine and can be used to detect apoptotic cells.

Annexin V, belongs to a family of proteins, the annexins, with anticoagulant properties. The annexin family of calcium/phospholipid‐binding proteins includes many members (at least 10 occur in mammals). Most of these proteins have not yet had their functions well characterized. Annexin V is used to detect apoptotic cells since it preferentially binds to negatively charged phospholipids like phosphatidylserine in the presence of Ca 2+ and shows minimal binding to phosphatidylcholine and sphingomyeline that are normally present on the external side of the cell membrane.

Annexin V labelled with 18 F has been developed for apoptosis imaging ( Murakami et al., 2004 ; Yagle et al., 2005 ). The significantly lower uptake of [ 18 F]annexin V in the liver, spleen and kidneys than that of [ 99m Tc]annexin V could be an advantage for PET imaging compared to scintigraphy. [ 124 I]annexin V has also been investigated ( Keen et al., 2005 ; Dekker et al., 2005 ).

Due to its specific internalization properties, annexin V mediated internalization could be a potential therapeutic platform for targeted drug delivery and cell entry to treat cancer ( Kenis et al., 2007 ).

A new class of intracellular apoptosis imaging agents is being developed, whereby a molecular switch is activated upon recognition of apoptotic cell membrane features, allowing the imaging molecule to bind to the apoptotic cell membrane and enter and accumulate within the cell. This new class of agent detects the apoptotic cell from the start of the apoptotic process and the recognition of the apoptotic cell is universal, irrespective of cell type or apoptotic trigger. Several types of labelling are possible including 18 F for PET imaging. An example of this type of molecule is N , N ′‐didansyl‐ l ‐cystine (DDC) ( Cohen et al., 2007 ).

8.11. Universal PET imaging agent

The current universal PET imaging agent for oncology is 18 F‐FDG but the specificity is compromised due to uptake by inflamed and infected tissues as well as metabolically active tumours. Phospho‐lipid ether (PLE) ( Weichert et al., 2005 ) tumour‐targeting agents labelled with 124 I (half‐life 4.2days) are being investigated as potential alternatives to 18 F‐FDG as they are not taken up by inflamed and infected tissues.

8.12. Hormone analogues

Hormone analogues have been developed as agents for the imaging of breast and prostate cancer. 16α‐[ 18 F]Fluoro‐17β‐oestradiol ([ 18 F]fluoro‐oestradiol or 18 F‐FES) uptake in primary breast cancer has been shown to be proportional to the oestrogen receptor (ER) concentration of the tumour measured by in vitro techniques ( Mintun et al., 1988 ). It has been proposed that by using FES PET for the ER concentration, the in vivo status of the primary cancer can be assessed and that of regional or distant metastatic lesions can be determined avoiding a biopsy of each lesion ( Dehdashti et al., 1995 ). FES PET has been used to predict response to tamoxifen therapy ( Linden et al., 2006b ).

PET tracers targeting the epidermal growth factor receptor (EGRF) ( Abourbeh et al., 2007 ) and human epidermal growth factor receptor 2 (EGRF2) ( Steffen et al., 2005 ) have been developed with potential use in HER‐2 positive breast cancer.

Dihydrotestosterone is produced in the prostate by metabolization of testosterone with 5α‐reductase and is a stronger growth factor for prostate cancer than testosterone. Androgen receptor (AR) imaging using the dihydrotestosterone analogue16β‐[ 18 F]fluoro‐5α‐dihydrotestosterone (FDHT) ( Dehdashti et al., 2005 ) has been investigated as a technique for predicting response to hormone therapy for prostate cancer. Uptake of FDHT appears to be a receptor‐mediated process as it decreases after androgen‐receptor antagonist therapy with flutamide (2‐methyl‐ N ‐[4‐nitro‐3‐(trifluoromethyl)phenyl]‐propanamide). There is a correlation between positive FDHT PET studies and increased PSA levels.

8.13. Multi‐drug resistance imaging

The over‐expression of P‐glycoprotein (P‐gp), encoded by the MDR1 gene in humans is one of the main mechanisms causing multi‐drug resistance (MDR). P‐gp is extensively expressed in the blood–brain barrier and in solid tumour tissue. Over‐expression of P‐gp on tumour membranes might result in MDR of human tumours. P‐gp functionality in tumours can be measured in vivo with PET using different tracers such as [ 11 C]verapamil ( Hendrikse and Vaalburg, 2002 ; Takano et al., 2006 ), [ 11 C]colchicine ( Levchenko et al., 2000 ) and [ 11 C]loperamide ( Passchier et al., 2003 ).

8.14. Antibody imaging

Genetically engineered antibody fragments have been developed for PET ( Jain and Batra, 2003 ) with suitable targeting specificity and systemic elimination properties for the imaging of cancer based on expression of tumour associated antigens. Targeted imaging using antibodies requires longer half‐life PET isotopes such as 124 I, 64 Cu, 86 Y and 74 As to match the biological half‐lives of the antibodies. Pre‐clinical imaging has been performed using antibody fragments such as anti‐HER‐2 labelled with 124 I ( Robinson et al., 2005 ) and anti‐CEA labelled with 124 I ( Sundaresan et al., 2003 ) and 64 Cu ( Wu et al., 2000 ).

A 74 As labelled chimeric monoclonal antibody that binds to phosphatidylserine expressed on tumour endothelial cells, has been used for the pre‐clinical PET imaging of solid tumours ( Jennewein et al., 2008 ).

Future clinical imaging with longer‐lived isotopes will require correct patient management to avoid radiation risk to persons coming into contact. Radioimmunotherapy with 90 Y monoclonal antibodies (mAbs) has been approved. As 90 Y is mainly a β‐emitter, 86 Y‐labelled mAbs are used as surrogates to determine the biodistribution and the dosimetry of 90 Y‐labelled mAbs in patients ( Lövqvist et al., 2001 ).

8.15. Pharmacokinetics and microdosing

PET makes it possible to determine drug distribution and concentration in vivo in man with drugs labelled with a positron‐emitting radionuclide that does not change the biochemical properties.

In vivo pharmacokinetic and pharmacodynamic measurements are possible with PET ( Gupta et al., 2002 ). PET imaging is used to measure the efficiency of chemotherapy by evaluating delivery and targeting approaches to maximize drug concentration in tumours relative to normal tissues. PET radiotracers are used to evaluate biodistribution between normal and tumour tissues, metabolism, toxicity, response prediction and dosimetry for radioimmunotherapy.

Several labelled chemotherapy agents have been studied. These include [ 18 F]paclitaxel ( Kurdziel et al., 2003 ), [ 18 F]tamoxifen ( Inoue et al., 1996 ), [ 18 F]fluorouracil ( Moehler et al., 1998 ) and [ 13 N]cisplatin ( Ginos et al., 1987 ).

Pharmacokinetic PET studies with radiolabelled drug candidates have the advantage that they can be performed at very low concentrations of only microgram amounts of unlabelled drug; the potential toxicological risk to human subjects is very limited. This has the potential to reduce or avoid side effects. These studies are known as PET microdosing studies or human phase 0/pre‐phase I clinical trials. Accelerator mass spectrometry (AMS) is another technique using radioisotopes that is suitable for microdosing studies ( Sarapa et al., 2005 ; Boddy et al., 2007 ). The studies can give important information about the distribution of a novel drug but do not provide data about the safety and tolerability of the drug. The Committee for Human Medicinal Products (CHMP) of the European Agency for the Evaluation of Medicinal Products (EMEA) proposed that a dose of one‐hundredth of the pharmacological dose derived from in vitro and animal models could be considered a human microdose ( European Agency for the Evaluation of Medicinal Products, 2003 ). Reviews and guidance for the requirements for PET microdosing have been published ( Bergstrom et al., 2003 ; US Food and Drug Administration, 2006 ; Marchetti and Schellens, 2007 ; Bauer et al., 2008 ). The American College of Clinical Pharmacology has issued a position statement on microdosing ( Bertino et al., 2007 ).

The Food and Drug Administration (FDA) recently introduced the Exploratory Investigational New Drug Guidance to accelerate the clinical evaluation of new therapeutic and imaging agents. Early phase 0 trials performed under this guidance have been initiated at the National Cancer Institute (NCI) to integrate qualified pharmacodynamic biomarker assays into first‐in‐human cancer clinical trials of molecularly targeted agents. The objective of this integration is to perform molecular proof‐of‐concept investigations at the earliest stage of cancer drug development. Phase 0 trials do not offer any patient benefit. Intensive, real‐time pharmacodynamic and pharmacokinetic analyses of patient tumour samples and/or surrogate tissues are performed to provide data for further trials. Phase 0 studies require a significant investment of resources in assay development early on and do not replace formal phase I drug safety testing. These studies offer the promise of a more rational selection of agents for further, large‐scale development. They also can provide molecular identification of potential therapeutic failures early in the development process.

8.16. Microfluidics

PET radiochemical syntheses can be miniaturized because these are carried out at levels (micro‐nano‐molar quantities and micro‐litre volumes) that are compatible with microfluidic technology. Microfluidic systems contain micro‐reactors and reaction yields, rates and selectivities are enhanced through the use of catalysts. The advantages of microfluidics include ultra‐high radiotracer concentration, specific activity and enhanced speed of labelling. Speed is of high importance when dealing with short half‐life radionucleotides. Synthesis times of only a few seconds are feasible ( Gillies et al., 2006 ). Other advantages include more efficient use of hot‐cell space for production of multiple radiotracers, the use of less non‐radioactive precursor for saving expensive material and a reduced separation challenge, highly controlled, reproducible and reliable radiotracer production and cheap, interchangeable, disposable and quality‐assured radiochemistry processors.

8.17. Multi‐modality imaging

Co‐registration and automated quantitative assessment of high spatial resolution CT and MR images with molecular and functional images from PET for longitudinal studies of response to chemotherapy will develop further. If the images are acquired in separate systems image registration is simpler for rigid and stationary anatomy like the head. Non‐rigid moving anatomy, such as the thorax, creates more difficulty in image registration if the images are not acquired at the same time. In order to overcome this difficulty combined SPECT/CT, PET/CT and PET/MR systems have been developed ( Zaidi and Alavi, 2007 ). Although the concept of a combination of PET/MR was the first to be conceived, SPECT/CT and PET/CT were the first to be commercially available. PET and CT do not have physical constraints precluding the close proximity of the systems. CT also has the advantage of being able to make fast attenuation correction measurements for PET imaging to increase productivity. Photon attenuation in tissues is the most important physical factor degrading PET image quality and quantitative accuracy. Quantitative PET image reconstruction requires an accurate attenuation map of the body under study for the purpose of attenuation compensation. Before the advent of PET/CT, attenuation correction was always calculated using transmission measurements from a γ‐ray source such as 68 Ge that takes about 20min compared to about 20s for CT. PET/CT has demonstrated the advantages of a combined system in oncological imaging especially for staging and radiotherapy planning. Current systems are based on sequential imaging with movement of the patient table between the CT and PET systems. Future systems could be based on the same detector array for PET and CT in order to perform simultaneous imaging. This would imply the development of stationary detector CT with multiple X‐ray sources and the development of a detector material sensitive to both X‐rays and γ‐rays. As MR has better soft‐tissue contrast than CT, combined PET/MR systems are being evaluated that can either be used for sequential or simultaneous imaging. Simultaneous PET/MR imaging systems require a ring of PET detectors inside the MR magnet. As magnetic fields interfere with the photomultipliers used in conventional PET systems, their place is being taken by avalanche photodiodes (APTs) ( Grazioso et al., 2006 ). It will be important to have a system of temperature compensation as APTs are sensitive to temperature and MR magnet bores heat up during imaging. MR attenuation correction methods based on proton density measurements and other methods such as inferred information from a stored atlas are being developed ( Buzug et al., 2007 ; Martínez‐Möller et al., 2007 ; Hofmann et al., 2007 ) to avoid the necessity to use transmission measurements from a 68 Ge source. The 68 Ge source probably would not fit in the magnet bore and in any case would reduce productivity due to the long acquisition time and make such a system not commercially viable.

8.18. Dedicated PET systems

Organ specific PET imaging systems are being developed in order to optimize resolution and allow access for biopsies. A high‐resolution, small field of view, positron emission mammography/tomography imaging and biopsy device (called PEM/PET) is being developed ( Raylman et al., 2008 ) to detect and guide the biopsy of suspicious breast lesions. It is hoped this will reduce the amount of negative biopsies.

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End-of-life care needs in cancer patients: a qualitative study of patient and family experiences

Mario López-Salas 1 ,
Antonio Yanes-Roldán 1 ,
Ana Fernández 1 ,
Ainhoa Marín 1 ,
Ana I. Martínez 1 ,
Ana Monroy 1 ,
José M. Navarro 1 ,
Marta Pino 1 ,
Raquel Gómez 1 ,
Saray Rodríguez 1 ,
Sergio Garrido 1 ,
Sonia Cousillas 1 ,
Tatiana Navas 1 ,
Víctor Lapeña 1 &
Belén Fernández 1

BMC Palliative Care volume 23 , Article number: 157 ( 2024 ) Cite this article

Metrics details

Cancer is a disease that transcends what is purely medical, profoundly affecting the day-to-day life of both patients and family members. Previous research has shown that the consequences of cancer are greatly aggravated in patients at the end of life, at a time when they must also grapple with numerous unmet needs. The main objective of this study was to obtain more in-depth insight into these needs, primarily in patients with end-stage cancer nearing death.

Semi-structured interviews were conducted in Spain with cancer patients at the end of life ( n = 3) and their family members ( n = 12). The findings from the interviews were analyzed using qualitative thematic analysis and a grounded theory approach.

Four major themes emerged from the interviews that explored the needs and concerns of patients with cancer at the end of life: (1) physical well-being (2) emotional well-being (3) social well-being and (4), needs relating to information and autonomous decision-making. The interviews also shed light on the specific needs of family members during this period, namely the difficulties of managing increased caregiver burden and maintaining a healthy work-life balance.

Conclusions

A lack of support, information and transparency during a period of immense vulnerability makes the end-of-life experience even more difficult for patients with cancer. Our findings highlight the importance of developing a more in-depth understanding of the needs of this population, so that informed efforts can be made to improve palliative healthcare and implement more comprehensive care and support at the end of life.

Peer Review reports

The concept of end of life reflects both the irreversible progression of a life-limiting disease, and a life expectancy of six months or less [ 1 ]. Cancer patients in the end-stage of the disease, facing end-of-life issues, undergo significant physical, psychological and social alterations, as do family members, whose lives and environment are drastically changed during this period. It is therefore of vital importance to improve the quality of life of all of those affected by this diagnosis. During this stage, numerous needs emerge regarding the care and well-being of the cancer patient and their caregivers which are not always acknowledged or identified. Recognition and awareness of these needs can ensure early access and comprehensive treatment for cancer patients with palliative care needs, while also meeting the needs of their caregivers [ 2 , 3 ].

In regard to patients, the literature provides some insight into the needs that emerge at this stage of the disease, yet there are still many areas that require further investigation. In a review by Wang et al. [ 4 ], which analyzed patients’ unmet needs in 38 studies, the authors identified seven major categories of needs. These included physical needs and symptom control, the need to maintain functionality and day-to-day activities, the need for information, psychological needs, social and financial needs, and spiritual needs. The relationship between various sociodemographic variables and patients’ unmet needs has also been studied. Several studies found that female patients had a higher frequency of unmet physical and psychological needs than male patients [ 5 , 6 ]. Similarly, patients with a high education level reported more unmet needs in physical domains, functionality, day-to-day activities [ 7 ] and information [ 8 ]. In addition, social needs appeared to a lesser extent in high-income patients [ 9 ]. Severe symptoms of emotional stress, the presence of anxiety and/or depression, a greater lack of problem-focused coping, and poorer quality of life of caregivers were identified as negative predictors of patient satisfaction [ 10 ]. Finally, when regarding primary caregivers, patients reported more unmet needs when their caregivers were male, young, or showed high levels of emotional distress [ 6 ].

For informal (or family) caregivers, the supportive care process is physically and psychologically challenging, especially when caring for patients with advanced cancer at the end of life [ 11 ]. However, assessing the unmet needs of caregivers remains an uncommon practice. Many family members, including those who do not view care giving as a burden, suffer from a wide range of problems, including sleep alterations, anxiety, depression, difficulty balancing caregiving and daily tasks, and financial burdens [ 12 ]. Wang and colleagues [ 4 ] found that caregivers had unmet needs regarding information about the disease and its treatment [ 11 , 13 , 14 , 15 , 16 ], as well as psychological [ 17 , 18 ], economic [ 19 ] and spiritual needs [ 20 ]. Researchers also reported that younger caregivers had a higher number of unmet needs than older caregivers regarding care, information and economic needs [ 13 , 14 ]. Caregivers with physical problems experienced a greater number of unmet needs. Similarly, family caregivers reported more needs when patients suffered from anxiety, depression, or poor physical performance [ 14 ]. Family members also experienced a need for clear and reliable information that would help them prepare for their loved one’s death and the grieving process [ 21 , 22 ].

There is a genuine necessity for studies that integrate patient and caregiver needs, in part to illustrate and conceptualize a unique family unit, given that the different elements that comprise this unit interact and impact on one another. The literature clearly shows that the unmet needs of patients can increase the physical and emotional burden of the caregiver [ 23 ]. In turn, caregiver issues are closely related to patient well-being [ 24 ]. The unresolved issues or unmet needs of caregivers will not only diminish their own quality of life, but also negatively impact on patients’ health outcomes [ 25 ].

Finally, it should be noted that few studies focus on the changing needs of patients and family members at the end of life, or of bereaved caregivers coping with grief. Our research aims to help fill this gap in the literature, using qualitative methodology to identify the unmet needs and potential barriers [ 3 , 26 , 27 , 28 ] encountered by these patients and their families, and thus provide greater insight into what the end of life is, as opposed to what it could and should be, for all those involved.

An exploratory descriptive qualitative study was carried out using semi-structured interviews with patients with end-stage cancer at the end of life and their family members. Fieldwork was conducted in May and June 2023. The Charmaz grounded theory approach to thematic analysis was implemented [ 29 , 30 ]. Categories of analysis have been generated inductively and deductively, following a grounded theory approach, and then grouped into themes. This methodology allows researchers to delve into areas of knowledge and reality from a novel perspective, making it possible to explore common perceptions and experiences as part of the subjective social structure of the participants. The study was designed and developed following the consolidated criteria for reporting qualitative research (COREQ) [ 31 ].

Participants

In this study, purposive sampling was used to identify participants, and obtain the maximum variation of the designed sample. This type of sampling is a strategy used to gather participants in a given context with expertise in the study phenomenon. Participants were recruited by health and social professionals through an association of cancer patients. The health professionals in direct contact with the participants informed them about the study and its objectives. Subsequently, and after signing the written informed consent sheet, the research team contacted the participants directly via e-mail or telephone call to confirm the interview. From an initial contact with 35 participants, the research team finally conducted 11 interviews with 15 participants. The variables chosen for the participants were: phase of the disease/after death (advanced, end of life, recent bereavement, bereavement after 6 + months), place of residence (rural, urban), age (< 65 or > 65) and gender. The sample also had ample experience with palliative care services, both at home and in hospital outpatient visits.

The final sample included 15 participants: 3 patients with end-stage cancer diagnosis and 12 caregivers who cared for terminally ill family members and experienced bereavement. A total of 10 semi-structured in-depth interviews were conducted, two of them in pairs (patient and relative), and another in a group composed of three caregivers. By including relatives of different ages, marital statuses and roles within the family, different narratives can be explored through the diverse perspectives, conflicts and connections collected.

Initially, 16 participants were proposed for the sample. However, theoretical saturation was reached at 15 participants, referring to the point in the research where new interviews added nothing novel or relevant to the study objectives [ 32 ], resulting in the final inclusion of 15 subjects. Table 1 shows the sociodemographic characteristics of these participants.

Data collection

All interviews were conducted online through a videoconferencing platform, except for two that were conducted by telephone at the request of the interviewees. They were conducted by two professionals with experience in qualitative research on healthcare and palliative care who had no previous contact with the participants in order to avoid bias in data collection. The interviews were based on a broad directive script, designed by a team of oncology psychologists and social workers with extensive experience in palliative care. This script was adapted to the context and profile of each person that was interviewed. Family caregivers were asked about the needs of the patients and as well as their own needs. The main topics discussed were: (1) Perceptions about end-of-life and palliative care; (2) Difficulties in the end-of-life process and the needs detected, both met and unmet; (3) The demands and proposals at professional and institutional level for the resolution of these needs (see Supplementary Materials). Interviews lasted an average of 45 min.

The interviews were audio recorded with the consent of the participants, and later verbatim transcribed and anonymized in their entirety. Written informed consent sheet was provided to participants by the professionals who made the recruitment. In addition, the researcher who conducted the interviews asked for oral consent to the participants right before the interviews. They were also provided the opportunity to ask questions and dispel doubts before starting the interview process. No payment was offered in exchange for participation in the study. Personal data and digital rights of participants were protected in accordance with the LOPDGDD 03/2018 [ 33 ].

Data analysis

To get an overview of the information before starting with the initial coding, 5 researchers of the team read the entire transcriptions repeatedly. The transcripts were then segmented into text units relevant to the analysis, which were subsequently read by all researchers. Finally, segments from the interviews were coded based on degree of relevance. A code tree was produced, combining closed categories previously discussed by the research group with categories that emerged inductively from the collected data. This tree was tested in the coding of certain interviews and adapted throughout the field research process to improve its scope and effectiveness. Data collection and analysis occurred concurrently. The information from the codes generated was compared with each other in order to create new categories. The codes were analyzed using both an inductive and a deductive approach that identifies similar, interrelated patterns and allows the theoretic categories described in the study to emerge from the raw data itself. Analytical rigor was assured through a rigorous process of peer review, since other researchers from the team were invited to review the initial analysis, in order to confirm the consistency of the findings and to identify and diminish potential biases. All the researchers agreed with the results of the coding process and the generation of the main categories. Data analysis was performed using ATLAS.ti version 9.

The results were divided into two main sections: the needs of people diagnosed with cancer at the end of life and the needs of family caregivers during this final phase of care.

End-of-life needs for cancer patients

The main results are shown in Table 2 . The needs of these patients are modified in accordance with disease progression and proximity to death.

Physical well-being

One of the main themes that emerged from participant responses was the need to maintain a sense of physical well-being. This set of needs is aimed at improving their quality of life by monitoring the symptoms of both the disease and its treatment. The main codes indicated by participants were the need to control pain and the adverse effects of medication, to find cures and clinical procedures to ensure quality of life, and to organize the administration of medication.

“That I, her daughter, have to act as a nurse, as I watch my mother dying and being told on the phone: ‘inject this, inject that’.” P12 .

The other codes regarding physical well-being were functional problems related to care. These needs include optimal rest and sleep, adapting diet and eating habits to allay weight gain or lack of appetite, and maintaining personal hygiene and physical activity.

“Well, you have to be aware of the circumstances. In terms of strength, it depends on the day…I’ve lost a lot of weight and I don’t sleep well, but I used to sleep very well. And this, of course, limits you.” P1 .

“I have my doubts about what the best diet is. The oncologist doesn’t know. I found a nutritionist, and it’s a little clearer now, but I think I lack information. Nothing is said about the diet…” P1 .

Emotional well-being

Another theme that concerned participants was their emotional well-being. Participants put a high priority on addressing emotional needs related to illness, dependency and death, as well as having access to assistance in effectively expressing and communicating these needs.

“Nobody talks about the psychological burden that this disease can place on the patient. How your life changes, all that it entails. The pain, going to the hospital continuously, and not knowing what will happen in the near future. More help is needed so we can understand how to relate to the disease rather than confront it.” P1 .

Participants also reported the need for the care and protection of their of identity, of their roles and purpose in life, as well as their self-image and self-esteem, all of which are frequent concerns of people facing the end of life.

“So it was very difficult for him … to be aware, and lose those roles and lose the role of doctor, lose the role of father, lose the role of person… in other words, to be sick person.” P6 .

Other relevant codes included the need to maintain affective relationships by spending quality time with your loved ones, and getting support to carry out fulfilling activities, hobbies and everyday pleasures.

“I brought her home, with her granddaughter, who she was mad about, and my kitten. My mother has always loved my cat. When I brought her home on the first day in the wheelchair, the cat climbed onto her lap and gave her a kiss. And now, on her deathbed—the last days of her life—my cat will not leave her side.” P12 .

Social well-being: adapted living space and mobility and economic resources

Most of the participants reported that a well-adapted living space was essential for providing comfort and quality of life at the end of life. This corresponds to the need to adjust the living environment to the patient’s physical circumstances during the end-stage of the disease.

Participants prioritized the following codes: the need for material resources that could improve the patient’s quality of life (medical equipment and supplies, hygiene products, etc.), domestic mobility (wheelchairs, stair lifts, etc.), and comfortable living spaces adapted to the patient’s physical needs.

“Now we must hustle and bustle with a wheelchair, because I cannot walk. We requested a wheelchair and the doctor prescribed it for me, an electric wheelchair. They prescribed it for me, they accepted it and today a letter has come, saying it has been denied.” P2 .

“I have a bathtub and I couldn’t afford it… Also, I pay rent, so I couldn’t replace the bathtub with a shower. I had no time, no disposition, no money. I ultimately had to buy an orthopedic chair so I could shower her in the bathtub” P12 .

Another important aspect of social well-being highlighted by the participants was the need to have access to professional resources that cover daily tasks, mainly through the hiring of professional caregivers.

“And the aid they gave was quite small, that’s also something that could, that should be considered, right? Above all, people who need care, a lot of care. […] In the end, it’s true that you need 24 hours, 7 days a week.” Family Group, P14 .

Information and autonomy in decision-making

Needs related to informed decision-making are associated with a willingness to ensure patient inclusion and autonomy in decisions that are made throughout the end-of-life period. The interviewees emphasized that they often felt as if healthcare professionals were not honest and forthright when sharing information with them. Yet they need this information to cope with doubts and make informed decisions, information on the prognosis of their disease and therapeutic options, legal and bureaucratic procedures, psychological and social resources, and shared experiences of other patients. In addition, they expressed the need for the patient’s will and preferences to prevail.

“Learn more about the process. Like: “The degeneration will progress more and more.” Yes, but how will this degeneration take place? What exactly should I expect? I mean, I know they can’t give me a timeline, I understand that. Learn how the disease really works. You search the Internet, and then have to hope that your search is right.” P9 .

End-of-life needs for family caregivers

The daily tasks of a family caregiver together with the challenges that arise during end-of-life care for a cancer patient can overwhelm the caregiver. In most cases, caregiver overload causes severe stress and physical, emotional and mental exhaustion. Family caregivers must learn to balance caring for their loved ones with caring for themselves. This includes organizing work, home, and leisure activities, improving time management, and building a strong internal support system. Family member interviews also revealed a need for greater awareness of their own specific needs, which are often overlooked. These main results are shown in Table 3 .

Personal health and well-being

Family caregivers reported that they often overlooked their health, neglecting their nutrition and adopting inadequate sleep patterns. Those suffering from an illness also noted greater neglect of their own medical needs and treatment.

“From the time I woke up at 7:00 or 8:00, I didn’t stop, until I went to bed at 12:00. I’ve already lost a lot of weight from the stress. I’ve always said that I have to take care of myself, that I can’t be foolish and neglect myself, because if I fall, we all fall and I have 3 people under my care.” P12 .

Caregivers in the study also highlighted the need for assistance in minimizing uncertainty and emotional distress. They reported feeling overwhelmed with their caregiving responsibilities, which brought on more pressure and feelings of guilt.

Other emotional needs included managing their fear of losing a loved one and coping with grief and life changes after the death of the patient.

“I had prepared a letter for my father, because I hadn’t been capable of saying goodbye yet.” P6 .

Caregiver overload and work-life balance

The main difficulty that family caregivers faced was achieving a healthy balance between work and personal life. The combination of working and family responsibilities (of both the patient and other family members) can virtually do away with a caregiver’s rest and free time.

“My father was on medical leave because of anxiety, until my mother died and then he went back to work. Until it happens to you, you don’t realize how much a person needs to stop working, and that it’s not a whim. In other words, you either stop working or caregiving.” P10 .

The participants emphasized the need for caregivers, in this case, mainly family members. Great importance was given to the possibility of having a formal and informal support network, especially at an emotional level and also to collaborate with daily caregiving tasks.

“ The end was appalling, especially because of the work-life balance. It was very burdensome to have the illness at home. I managed to do it because my father was there, otherwise I wouldn’t have been able to go out […] because I couldn’t disconnect at home .” P10 .

The objective of this study was to explore the needs of people with cancer at the end of life and the needs of their family caregivers. Its novelty lies in its ability to provide relevant information on the unmet needs of these individuals in a qualitative manner during the end-stage of the illness.

There is limited research on this period given the complexities of reaching out to the cancer population and their loved ones at such a difficult time in their lives. Furthermore, there is the complex task of incorporating the experiences of both patients and family members into a single study and viewing them as a unit that interconnects with the social, economic and institutional reality in which they live.

Based on the needs expressed by the participants, our findings suggest that numerous unmet needs may exist among cancer patients and informal caregivers during the end-of-life period. The complexity and magnitude of the challenges they face during this phase of cancer contribute to a significant array of needs. Although there is diversity in the identified needs among patients and family caregivers, there are also a remarkable number of these needs overall. These findings are consistent with results from similar studies conducted on cancer patients in other countries during earlier phases of the end of life.

In terms of the physical well-being of the cancer patient, our findings support other studies in which the need for symptom control, mainly pain and fatigue [ 5 , 13 , 34 , 35 , 36 , 37 ], is considered a priority. Another primary concern is the need for rest and adequate sleep. It should be noted that while caregivers usually attend to the needs of the patient regarding nutrition and hygiene, most of them express a sense of over-delegation when it came to these tasks, as well as a lack of preparation for carrying them out.

The need for emotional well-being is of particular concern to the interviewees, constituting one of the primary sources of vulnerability at the end of life. This phase of the disease is characterized by fear and uncertainty and the need to come to terms with impending death. Priority is given to managing emotions related to illness, dependency, dying and death. Patients also stress the importance of spiritual needs during this period, as they face end-of-life issues and reflect on the purpose and meaning in their lives. Preserving one’s identity, as well as one’s self-image and self-esteem also contributes to emotional well-being for people nearing the end of life. These findings support previous research where patients expressed a fundamental need for managing psychological distress [ 6 , 7 ]. A systematic assessment of the emotional needs of these patients would help identify appropriate coping strategies to reduce emotional distress and lessen its burden on caregivers.

Participants in our study, as in other research, emphasize the unmet need for information that would help them make decisions and express their preferences for end-of-life care [ 7 , 8 , 13 ], thereby ensuring control over their care while easing the burden of decision-making for their caregivers. These findings highlight the need to improve communication between patients and their healthcare providers. By learning and responding to what their patients want to know, these professionals can improve the patient’s understanding of their circumstances and the options available to them at this critical period in their lives.

Regarding social needs, our data show that a well-adapted living space that provides comfort and mobility is vital for dignity at the end of life, as is being able to choose to stay at home rather than move to a hospital. Participants indicated that the main barriers to satisfying these needs were a lack of economic resources to refurbish their home or obtain technical and/or orthotic and prosthetic devices (wheelchair, adjustable beds, etc.) to improve their quality of life. It is necessary to provide assistance and information on adapting the home and devices that facilitate the patient’s mobility. Similarly, more information should be made available regarding economic aid or funds that may be requested to offset these costs and the loss of income resulting from the illness.

Finally, findings on the needs of family caregivers show the challenges that arise during end-of-life care for a patient with cancer cause an overload, which in most cases leads to severe stress and physical and psychological exhaustion. Family caregivers need to learn how to improve their work-life balance. This includes organizing work, home, and leisure activities, improving time management, and building a strong internal support network.

This study contributes to the relatively small number of publications on patients with cancer and their caregivers at the end of life. In addition, this is the first study carried out in Spain that explores the needs of cancer patients in palliative care and their families based on their own personal experiences. The primary strength of our research lies in the inclusion of end-of-life patients nearing death who had diverse experience with the services provided during end-of-life care. Our main findings also corroborate previous research, while providing a more in-depth understanding of these patients’ needs and their connection to the needs of family caregivers. However, while it was possible to saturate the resulting codes theoretically and empirically, our limited sample size prevented the findings from being generalizing. Nevertheless, these results support the growing call for a more in-depth understanding of the needs of this vulnerable population. Only with this first-hand knowledge any real and effective change can be made to improve palliative healthcare and implement more comprehensive care and support at the end of life.

Data availability

The dataset generated and analyzed during the current study is not publicly available because individual privacy could be compromised but is available from the corresponding author on reasonable request.

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Acknowledgements

We are exceptionally grateful to the participants and professionals involved in this study, without whom we could not share the results of this research.

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Mario López-Salas, Antonio Yanes-Roldán, Ana Fernández, Ainhoa Marín, Ana I. Martínez, Ana Monroy, José M. Navarro, Marta Pino, Raquel Gómez, Saray Rodríguez, Sergio Garrido, Sonia Cousillas, Tatiana Navas, Víctor Lapeña & Belén Fernández

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Conceptualization and design: M.L-S., A.Y-R., B.F.; Acquisition, analysis and interpretation of data: M.L-S., A.Y-R., B.F.; Drafting of the manuscript: M.L-S., A.Y-R., A.F., B.F.; Critical revision of the manuscript for important intellectual content: All authors. All authors have read and approved the final version of this manuscript.

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López-Salas, M., Yanes-Roldán, A., Fernández, A. et al. End-of-life care needs in cancer patients: a qualitative study of patient and family experiences. BMC Palliat Care 23 , 157 (2024). https://doi.org/10.1186/s12904-024-01489-1

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Cancer Diagnosis Using Deep Learning: A Bibliographic Review

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Why do patients with cancer die?

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Imaging and cancer: A review

1. Introduction

2. Image contrast

3. X‐Ray‐based systems including CT

3.1. Flat panel computed radiography (CR) and digital radiography (DR) systems that are used for chest X‐ray examinations

3.2. Digital radiographic and fluorographic systems for barium and air contrast studies

3.3. Digital C‐arm flat‐panel systems for interventional applications using fluoro imaging and CT image reconstruction

3.4. Full field digital mammography(GE Senographe, 1999 ) systems and advanced applications( Rafferty, 2007 ) including tomosynthesis, contrast enhancement, dual energy, stereo imaging, multi‐modality fusion and CAD

3.5. Multi‐slice CT systems including 4D acquisition and reconstruction with applications in lung cancer screening, virtual colonography, radiotherapy planning and therapy response monitoring

4. Magnetic resonance systems

4.1. MRI of breast cancer

4.2. Diffusion weighted imaging

4.3. MR elastography

4.4. MR perfusion imaging

4.5. Apoptosis imaging

4.6. Receptor imaging

4.7. Stem cell tracking

4.8. MR spectroscopy

4.9. Spin hyperpolarization

4.10. MR guided focused ultrasound

4.11. MR guided galvanotherapy

5. Ultrasound

5.1. Miniaturization of ultrasound systems

5.2. Acoustic radiation force impulse imaging