1st Edition

Cancer Detection and Diagnosis A Handbook of Emerging Technologies

Edited By Miguel Ossandon, Ben Prickril, Avraham Rasooly Copyright 2026
580 Pages 143 Color & 99 B/W Illustrations
by CRC Press

580 Pages 143 Color & 99 B/W Illustrations
by CRC Press

Emerging technologies for cancer detection and diagnosis are providing more and more advance warning of pathologies of clinical significance. Research devoted to cancers are revealing new ways of finding and treating these complex diseases. This volume reviews a broad array of new technologies for cancer detection and diagnosis. While there are several clinical books describing cancer diagnosis,... Read more

Preface

List of Contributors

Overview of Cancer Features and Impact

Miguel Ossandon, Ben Prickril, and Avraham Rasooly

Section 1 Optical technologies

1 Near-Infrared Macroscopic and Mesoscopic Fluorescence Lifetime FRET Imaging to Measure

Intra-Tumor Heterogeneity of Antibody-Target Engagement

Amit Verma, Saif Ragab, Shan Gao, Catherine Sherry, Nanxue Yuan, Vikas Pandey, Xavier Intes, and Margarida Barroso

2 Combined Reflectance Confocal Microscopy–Optical Coherence Tomography for Skin Cancer

Detection and Therapy Guidance

Nicusor Iftimia, John Grimble, Gopi Maguluri, Aditi Sahu, Miguel Cordova, and Milind Rajadhyaksha

3 In Vivo Confocal Laser Endomicroscopy: An Imaging Biomarker for Risk Stratification of Precancerous

Pancreatic Cystic Lesions

Da Yeon Ryoo, Bryn Koehler, Vanisha Patel, and Somashekar G. Krishna

4 Portable Confocal Microscopy for Aiding Diagnosis and Treatment of Skin Cancer

Momoka Sugimura, Jingwei Zhao, Kenneth Marcelino, Yongjun Kim, Rafael Romero, and Dongkyun Kang

5 Quantitative Fluorescence Imaging, Light-Triggering, and Monitoring of Chemodrug Release from

Liposomes In Vivo by a Mesoscopic-Scale Theranostic Endoscope

Ulas Sunar, Rasel Ahmmed, Eli Kluiszo, and Semra Aygun-Sunar

6 Fluorescence Imitating Brightfield Imaging (FIBI): A Simple Slide-Free Microscopy Approach

Nathan Anderson, Farzad Fereidouni, and Richard Levenson

7 Fluorescently Labeled Tyrosine Kinase Inhibitors for Intracellular Protein Target

Allison Solanki, Jesse Korber, Summer L. Gibbs, and Lei G. Wang

8 Real-Time Cancer Metabolism Detection Using a Nanocoil Integrated Hyperpolarized Micromagnetic Resonance Spectrometer

Thasin Peyear, Roberta Pigliapochi, and Kayvan R. Keshari

9 Detection of TMEM Doorways and Their Activity Required for Metastasis

George S. Karagiannis, Robert J. Eddy, Joseph A. Sparano, Jesus Anampa Mesias, Thomas E. Rohan, Craig Branch, John S. Condeelis, David Entenberg, and Maja H. Oktay

10 Reading the Reader: Utilizing Eye Movements and Machine Learning to Enhance Accuracy during Diagnostic Visual Search

Gregory J. DiGirolamo, Federico Sorcini, Leo Joskowicz, Yakir Winograd, Assaf Hoog, and Max P. Rosen

11 Optical Imaging Technology for In Vivo Tumor Detection

Radka Bokorova, Duy Binh Tran, and Tohru Yamada

12 Adapting Image Foundational Model to Identify Tumor Budding from H&E Images in Colorectal Cancer Diagnostics

Ziyu Su, Usama Sajjad, Wendy L. Frankel, Metin N. Gurcan, Wei Chen, and Muhammad Khalid Khan Niazi

13 Quantitative Phase Imaging for Assessing Tumor Cell Adaptability

Rebecca G. Zitnay, Shukran Alizada, Anastasia Prokofyeva, Thomas A. Zangle, and Robert L. Judson-Torres

14 An Exo-PROS Biosensor Simultaneously Detects Tumor-Derived Exosomal Protein-MicroRNA Pairs for Lung and Breast Cancer Diagnosis

Chang-Chieh Hsu and Yun Wu

Section 2 Imaging Technologies

15 Epigenetic Tools for Guiding Low Dose Computerized Tomography (LDCT) Screening Decision-Making

Winter Philibert and Robert Philibert

16 Multi-View Models for Colorectal Polyp Detection in CT Colonography

Mohamed Yousuf, Samir Harb, Asem Ali, Salwa Elshazly, and Aly Farag

17 Hybrid Multi-Dimensional MRI of Prostate Cancer

Aritrick Chatterjee, and Aytekin Oto

18 Detection and Characterization of Brain Metastases Using Quantitative Chemical Exchange Saturation Transfer MR Fingerprinting (CEST-MRF)

Ouri Cohen

19 Narrow-Beam CT: A Solution to the Limitations in Breast Cancer Screening

Peymon Ghazi

20 Broadband Coherent Anti-Stokes Raman Scattering Microscopy for Metabolic and Phenotypic Imaging in Cancer

Jessica Z. Dixon, Wei-Wen Chen, Rajas Poorna, Xavier Audier, and Marcus T. Ciceronex

21 Spatial Multiplexed Immunofluorescence Imaging in Exploring Tumor Immune Microenvironment of Melanoma

Jun Jiang, Shankar Suman, Caitlin Ward, Raymond Moore, Zachary Fogarty, Alexey Leontovich, Wendy Nevala, Chathu Atherton, Jill Schimke, and Svetomir Markovic

22 Spectroscopic Optical Coherence Tomography for In Situ Analysis of Colonic Epithelium

Jatin Roper, Wesley Kendall, and Adam Wax

23 Analysis of Circulating Tumor DNA (ctDNA) by Digital Droplet PCR (ddPCR)

Bryant L. McCue and George Miles

24 Noninvasively Monitoring the Delivery of DNA Alkylating Agents and Cellular Responses to These Agents Using Chemical Exchange Saturation Transfer Magnetic Resonance Imaging

Ethel J. Ngen

Section 3 Nucleic Acid Technologies

25 Clonal Analysis of Cancer by Mitochondrial DNA Barcoding

Jonathan Good, Ksenia R. Safina, and Peter van Galen

26 Implementing Clinical Risk Assessment for Genetic Susceptibility to Cancer: Challenges and Successes in a Statewide Initiative

Sarah Austin, Liliana Arida-Moody, Erika Hanson, Shayna Weiner, Matthew Demerath, Emerson Delacroix, Erika Koeppe, Ken Resnicow, Jennifer J. Griggs, and Elena M. Stoffel

27 Assessing Tumor Tissue for the Alternative Lengthening of Telomeres (ALT) Phenotype

C. Patrick Reynolds, Trevor A. Burrow, and Balakrishna Koneru

28 Click Chemistry-Mediated Enrichment of Tumor-Derived Extracellular Vesicles for RNA-Based Digital Scoring

Yazhen Zhu, Jacqueline Ziqian Yang, Anna Yaxuan Wei, Vivian Xufei Zuo, Judy Law, Sungyong You, Ju Dong Yang, Vatche G. Agopian, Edwin Posadas, Junseok Lee, and Hsian-Rong Tseng

29 Identifying Methods to Deliver Mutant p53-Based Diagnostics and Therapeutics to Target the Previously

Gu Xiao, Outi Keinänen, Florencia Madorsky Rowdo, Samantha Delaney, Katherine W. Harmon, Brian M. Zeglis, and Jill Bargonetti

30 DNA Methylation Biomarkers for Preoperative Diagnostic of Thyroid Nodules

Byung-Wook Kim, Yuman Fong, John H. Yim, and Maria A. Hahn

31 Utilizing RADAR for the Integration of Genomic Data and Immunotherapy Targets in Precision Oncology for Multiple Myeloma

Alessandro Laganà, Sanjeev Sariya, David T. Melnekoff, Meghana Ram, and Samir Parekh

32 Nanopore Whole Transcriptome Sequencing Offers the Potential for Accessible Classification of Pediatric Cancers

Thomas B. Alexander and Jeremy R. Wang

33 Quantitative Detection of Cancer Nucleic Acid Biomarkers with a Selective Solid-State Nanopore Assay

Adam R. Hall, Sara Abu Jalboush, Ian D. Wadsworth, Mohamed Amin Elaguech, and Komal Sethi

34 Isolation and Characterization of Cell-Free RNA from Liquid Biopsy Taken from Cancer Patients

Real Sumayya, Abdul Sattar, Luisa Quezada Ziesse, and Subhajyoti De

Section 4 Biomarker–Molecular Technologies

35 The Use of Dielectrophoresis to Recover Cancer-Derived Nanoparticles Straight from Undiluted Human

Plasma for Cancer Detection Applications

Delaney Shea, Jason Warea, Michael Henderson, Ella Stimson, Mehrzad Sasanpour, Sarah Mitchell, Christian Ross, Shelby Nicholas, and Stuart D. Ibsen

36 Conditional Reprogramming: A Living Biomarker and Phenotypic Screening Drug Platform for Urological Cancer

Danyal Daneshdoust, Abdul Qawee Rani, Peng Wang, Shang-jui Wang, Akshay Sood, Debasish Sundi, Qi-en Wang, Zaibo Li, Anil V. Parwani, Nagireddy Putluri, Cheryl Lee, Jenny Li, and Xuefeng Liu

37 Proteolytic Activity Signatures as Candidate Biomarkers for Thyroid Cancer

Danielle E. Dettling and Giselle M. Knudsen

38 Carbohydrate Microarrays Identify the Stage-Specific Embryonic Antigen (SSEA)-0 as a Novel Oncofetal Cancer Marker

Denong Wang

39 Collective Attributes of Extracellular Vesicles as Biomarkers for Cancer Detection

Alfred Akinlalu, Tommy Gao, Sky Gao, and Dali Sun

40 Using a Gamified Mobile App Approach to Train Tobacco Control Program Implementers in Schools in India

Eve M. Nagler, Chuck Sigmund, Smita P. Warke, Priyanka Ghosh, Paromita Mehta, Leah C. Jones, and Mangesh Pednekar

41 Parallel Reaction Monitoring (PRM) Quantitative Analysis of Glycopeptide Biomarkers from Patient Serum

Komal Abhange, Yu Lin, Jie Zhang, Jianhui Zhu, Amit G. Singal, Neehar D. Parikh, and David M. Lubman

42 Point-of-Care Technologies for Molecular Subtyping of Breast Cancer in Low- and Middle-Income Countries ��� 387

Wenting Gao, Iftak Hussain, Sally Adebamowo, David Erickson, and Clement Adebamowo

43 Development of LLM for Prostate Cancer—The Need for Domain-Tailored Training

Amara Tariq, Man Luo, Aisha Urooj, Avisha Das, Jiwoong Jeong, Shubham Trivedi, Haidar Abdul-Muhsin, Umer

Ghaffar, Nathan Yu, Bhavik Patel, and Imon Banerjee

44 Biosample and Method Selection for Marker Studies

Angela J. Yoon

45 Subharmonic-Aided Pressure Estimation for Evaluating Cancer

Hailee Mayer, Kibo Nam, Jason Shames, and Flemming Forsberg

46 Development and Implementation of a Method for Registering Prostate-Specific Antigen (PSA) Biosensor-Based Assay Results in a Personalized QR Code

Maria Daoutakou1 and Spyridon Kintzios

Section 5 Organel and Cellular Technologies

47 Deep Learning-Based Colon Segmentation for Accurate Colorectal Polyps Detection

Samir Harb, Mohamed Yousuf, Ahmed Elsayed, Asem Ali, Salwa Elshazly, and Aly Farag

48 Emerging Blood-Based Tests for Colorectal Cancer Screening: Advances, Challenges, and Future Directions

Gloria D. Coronado, Jennifer L. Schneider, Cheryl A. Johnson, and Leslie Bienen

49 Microfluidic Isolation and Molecular Characterization of Circulating Tumor Cells in Prostate Cancer

Rea Pittie, Victor Putaturo, Shyamala Maheswaran, Daniel A. Haber, Mehmet Toner, Avanish Mishra, and David T. Miyamoto

50 Chemical Imaging for Next-Generation Histopathology

Kianoush Falahkheirkhah, Kevin Yeh, and Rohit Bhargava

51 GALAD Score and Extracellular Vesicle-Based Assays for Early Detection of Hepatocellular Carcinoma

Yi-Te Lee, Yazhen Zhu, Sungyong You, Vatche G. Agopian, Hsian-Rong Tseng, and Ju Dong Yang

52 Using Epidemiologic Research Methods to Adapt a Human Papillomavirus Assay for Cervical Cancer Screening in Low- and Middle-Income Countries

Louise Kuhn, Rakiya Saidu, and Lynette Denny

53 Organoid Models for Early Detection and Diagnosis of Colorectal Cancer

Jinghui Liang, Janvhi Suresh Machhar, and Chengyu Liang

Section 6 Computaional – Digital Technologies

54 Experimental Methods for Establishing and Maintaining Canine Bladder Cancer Organoids

Mohamed Elbadawy, Christopher Zdyrski, Hannah Wickham, Corey F. Saba, Savantha Thenuwara, Alison P. Mosichuk, Dipak Kumar Sahoo, Jonathan P. Mochel, and Karin Allenspach

55 Top-Down Proteomics of Cancer Cells by Advanced Capillary Electrophoresis–Mass Spectrometry

Tian Xu and Liangliang Sun

56 X-ray Diffraction Imaging for Cancer Detection and Diagnosis

Joel A. Greenberg and Anuj J. Kapadia

57 Restriction Spectrum Imaging (RSI) Models for the Detection of Female Cancers

Aida Haddad, Summer J. Batasin, Sabrina Kohanzad, Emily Barnard, Ana E. Rodríguez-Soto, Stéphane Loubrie, and Rebecca Rakow-Penner

Index

Biography

Miguel Ossandon has a dual background in clinical laboratory and computer science. He started working in cancer research at the Lombardi Cancer Center at Georgetown University where he also began his undergraduate training in computer science. He has been working for the National Cancer Institute since 2007. Miguel received his master’s degree at the George Washington University and PhD in computer science at the University of Maryland Baltimore County. As a program director in the Diagnostic Biomarkers and Technology Branch, he manages a grant portfolio related to computational modeling and machine learning approaches for cancer diagnosis, digital image processing/analysis, and microfluidic and circulating tumor cell technology.

Ben Prickril is a former US government official working at the US National Institutes of Health, National Cancer Institute. He has a background in medically related chemistry, microbiology, immunology, patenting and intellectual property, and global health. International research development includes experience in France, Turkey, Ukraine, Czech Republic and Burkina Faso. He received his PhD from the University of Georgia.

Avraham Rasooly is in the Division of Cancer Treatment and Diagnosis, National Cancer Institute. He has been responsible for developing research programs on new approaches for cancer therapy, including technologies for microbial-based cancer therapy. He received his PhD from Michigan State University.