Radiomics and radiogenomics : technical basis and clinical applications

著者

書誌事項

Radiomics and radiogenomics : technical basis and clinical applications

edited by Ruijiang Li ... [et al.]

（Imaging in medical diagnosis and therapy）

CRC Press, Taylor & Francis, c2019

  • : hbk

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注記

Other editors: Lei Xing, Sandy Napel, Daniel L. Rubin

Includes bibliographical references and index

収録内容

  • Principles and rationale of radiomics and radiogenomics / Sandy Napel
  • Imaging informatics: an overview / Assaf Hoogi, Daniel Rubin
  • Quantitative imaging using CT / Lin Lu, Lawrence H. Schwartz, Binsheng Zhao
  • Quantitative PET/CT for radiomics / Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, Matthew J. Nyflot
  • Common techniques of quantitative MRI / David Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G. Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, Thomas E. Yankeelov
  • Tumor segmentation / Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, Christos Davatzikos
  • Habitat imaging of tumor evolution by magnetic resonance imaging (MRI) / Bruna Victorasso Jardim-Perassi, Gary Martinez, Robert Gillies
  • Feature extraction and qualification / Lise Wei, Issam El Naqa
  • Predictive modeling, machine learning, and statistical issues / Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick, Bradley J. Erikson
  • Radiogenomics: rationale and methods / Olivier Gevaert
  • Resources and datasets for radiomics / Ken Chang, Andrew Beers, James Brown, Jayashree Kalpathy-Cramer
  • Roles of radiomics and radiogenomics in clinical practice / Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing
  • Brain cancer / William D. Dunn Jr, Rivka Colen
  • Breast cancer / Hui Li, Maryellen L. Giger
  • Lung cancer / Dong Di, Jie Tian
  • The essence of R in head and neck cancer / Hesham Elhalawani, Arvind Rao, Clifton D. Fuller
  • Gastrointestinal cancers / Zaiyi Liu
  • Radiomics in genitourinary cancers: prostate cancer / Satish Viswanath, Anant Madabhushi
  • Radiomics analysis for gynecologic cancers / Harini Veeraraghavan
  • Applications of imaging genomics beyond oncology / Xiaohui Yao, Jingwen Yan, Li Shen
  • Quantitative imaging to guide mechanism based modeling of cancer / David A. Hormouth II, Matthew T. McKenna, Thomas E. Yankeelov
  • Looking ahead : opportunities and challenges in radiomics and radiogenomics / Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, Lei Xing

内容説明・目次

内容説明

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

目次

Part I: Introduction 1. Principles and rationale of radiomics and radiogenomics Sandy Napel Part II: Technical Basis 2. Imaging informatics: an overview Assaf Hoogi, Daniel Rubin 3. Quantitative imaging using CT Lin Lu, Lawrence H. Schwartz, Binsheng Zhao 4. Quantitative PET/CT for radiomics Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, Matthew J. Nyflot 5. Common techniques of quantitative MRI David Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G. Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, Thomas E. Yankeelov 6. Tumor segmentation Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, Christos Davatzikos 7. Habitat imaging of tumor evolution by magnetic resonance imaging (MRI) Bruna Victorasso Jardim-Perassi, Gary Martinez, Robert Gillies 8. Feature extraction and qualification Lise Wei, Issam El Naqa 9. Predictive modeling, machine learning, and statistical issues Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick, Bradley J. Erikson 10. Radiogenomics: rationale and methods Olivier Gevaert 11. Resources and datasets for radiomics Ken Chang, Andrew Beers, James Brown, Jayashree Kalpathy-Cramer Part III: Clinical Applications 12. Roles of radiomics and radiogenomics in clinical practice Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing 13. Brain cancer William D. Dunn Jr, Rivka Colen 14. Breast cancer Hui Li, Maryellen L. Giger 15. Lung cancer Dong Di, Jie Tian, Shuo Wang 16. The essence of R in head and neck cancer Hesham Elhalawani, Arvind Rao, Clifton D. Fuller 17. Gastrointestinal cancers Zaiyi Liu 18. Radiomics in genitourinary cancers: prostate cancer Satish Viswanath, Anant Madabhushi 19. Radiomics analysis for gynecologic cancers Harini Veeraraghavan 20. Applications of imaging genomics beyond oncology Xiaohui Yao, Jingwen Yan, Li Shen Part IV: Future Outlook 21. Quantitative imaging to guide mechanism based modeling of cancer David A. Hormouth II, Matthew T. McKenna, Thomas E. Yankeelov 22. Looking Ahead: Opportunities and Challenges in Radiomics and Radiogenomics Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, Lei Xing

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