Description
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists.
Features
- Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics
- Shows how they are improving diagnostic and prognostic decisions with greater efficacy
- Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas
- Covers applications in oncology and beyond, covering all major disease sites in separate chapters
- Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation
Table of Contents
Part I: Introduction
Part 1 INTRODUCTION
1 Principles and rationale of radiomics and radiogenomics
Sandy Napel
Part 2 TECHNICAL BASIS
2 Imaging informatics: An overview
Assaf Hoogi and Daniel L. Rubin
3 Quantitative imaging using CT
Lin Lu, Lawrence H. Schwartz, and Binsheng Zhao
4 Quantitative PET/CT for radiomics
Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, and Matthew J. Nyflot
5 Quantitative imaging using MRI
David A. Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G.
Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, and
Thomas E. Yankeelov
6 Tumor segmentation
Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, and Christos Davatzikos
7 Habitat imaging of tumor evolution by magnetic resonance imaging (MRI)
Bruna Victorasso Jardim-Perassi, Gary Martinez, and Robert Gillies
8 Feature extraction and qualification
Lise Wei and Issam El Naqa
9 Predictive modeling, machine learning, and statistical issues
Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick,
and Bradley J. Erickson
10 Radiogenomics: Rationale and methods
Olivier Gevaert
11 Resources and datasets for radiomics
Ken Chang, Andrew Beers, James Brown, and Jayashree Kalpathy-Cramer
Part 3 CLINICAL APPLICATIONS
12 Pathways to radiomics-aided clinical decision-making for precision medicine
Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao,
Khin K. Tha, Hiroki Shirato, Kathleen Horst, and Lei Xing
13 Brain cancer
William D. Dunn Jr. and Rivka R. Colen
14 Breast cancer
Hui Li and Maryellen L. Giger
15 Radiomics for lung cancer
Di Dong and Jie Tian
16 The essence of R in head and neck cancer: Role of radiomics and
radiogenomics from a radiation oncology perspective
Hesham Elhalawani, Arvind Rao, and Clifton D. Fuller
17 Gastrointestinal cancers
Zaiyi Liu
18 Radiomics in genitourinary cancers: Prostate cancer
Satish Viswanath and Anant Madabhushi
19 Radiomics analysis for gynecologic cancers
Harini Veeraraghavan
20 Applications of imaging genomics beyond oncology
Xiaohui Yao, Jingwen Yan, and Li Shen
Part 4 FUTURE OUTLOOK
21 Quantitative imaging to guide mechanism-based modeling of cancer
David A. Hormuth II, Matthew T. Mckenna, and Thomas E. Yankeelov
22 Looking ahead: Opportunities and challenges in radiomics and radiogenomics
Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, and Lei Xing
