1st Edition
Principles and Practice of Image-Guided Radiation Therapy of Lung Cancer
This book gives a comprehensive overview on the use of image-guided radiation therapy (IGRT) in the treatment of lung cancer, covering step-by-step guidelines for clinical implementations, fundamental principles and key technical advances. It covers benefits and limitations of techniques as well as quality and safety issues related to IGRT practice.
- Addresses imaging simulation, treatment planning, verification, and delivery
- Discusses important quality assurance issues
- Describes current methods using specialized machines and technologies
Jing Cai, PhD, is an Associate Professor of Radiation Oncology at Duke University Medical Center. Joe Y. Chang, MD, PhD, is Professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center in Houston. Fang-Fang Yin, PhD, is Chief of the Division of Radiation Physics, Professor of Radiation Oncology, and Director of the Medical Physics program at Duke University.
Series Preface
Preface
Editors
Contributors
Part 1 INTRODUCTION
1 Overview of IGRT
Fang-Fang Yin, Yu Yan, and Robert Timmerman
2 History and future of IGRT in lung cancer
Joe Y. Chang
Part 2 PRINCIPLES OF IGRT FOR LUNG CANCER
3 Imaging simulation for lung cancer IGRT
Daniel Low, Tinsu Pan, Ning Wen, and Carri K. Glide-Hurst
4 Treatment planning
Yan Yu, Kamila Nowak Choi, and Virginia Lockamy
5 Treatment verification and delivery
Ning Wen, Carri Glide-Hurst, Karen Chin Snyder, Mischa Hoogeman, Martina Descovich, Lei Ren, and Indrin Chetty
6 Quality assurance of IGRT
Krishni Wijesooriya, Taeho Kim, Josh Evans, and Quan Chen
Part 3 PRACTICE OF IGRT FOR LUNG CANCER 125
7 L-shaped linacs
David Hoffman, Julian Perks, Steve Goetsch, and Stanley Benedict
8 TomoTherapy
Ke Sheng
9 Robotic arm linac
Jun Yang, Andrew Cardin, Jing Feng, Xing Liang, and EnMing Wang
10 Proton therapy
Clemens Grassberger, Gregory C. Sharp, and Harald Paganetti
11 Application of IGRT for lung stereotactic body radiotherapy
Julianne M. Pollard-Larkin, Peter Balter, and Joe Y. Chang
12 Uncertainties of IGRT for lung cancer
Irina Vergalasova, Guang Li, Chris R. Kelsey, Hong Ge, Long Huang, and Jing Cai
Part 4 ADVANCES IN IGRT FOR LUNG CANCER
13 Advances in imaging simulation for lung cancer IGRT
Jing Cai, Daniel Low, Tinsu Pan, Yilin Liu, Zheng Chang, and Wei Lu
14 Advances in treatment planning
Mei Li, Ruijiang Li, and Lei Xing
15 Advances in verification and delivery techniques
Lei Ren, Martina Descovich, and Jing Wang
16 Treatment response assessment and response guided adaptive treatment
Tim Lautenschlaeger, Martha Matuszak, and Feng-Ming (Spring) Kong
17 Adaptive radiation therapy for lung cancer
Martha Matuszak, Kristy K. Brock, and Feng-Ming (Spring) Kong
18 MRI-based IGRT for lung cancer
Rojano Kashani and Lauren Henke
Index
Biography
Jing Cai, PhD, is an associate professor of Radiation Oncology at Duke University Medical Center. His research is focused on developing and clinically implementing novel image-guided radiation therapy techniques. He has published more than 50 peer-reviewed journal articles and over 130 conference abstracts. He regularly provides scientific reviews for journals and conferences, and servers as expert reviewer for grant applications. His research has received federal, charitable, and industrial funding.
Joe Y. Chang, MD, PhD, is professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center in Houston. He is also Clinical Section Chief for Thoracic Radiation Oncology and Director of the Stereotactic Radiotherapy Program. He earned his PhD in cancer biology at the University of Texas MD Anderson Cancer Center, and earned his MD from Shanghai Medical College in China. He performed clinical residency at Rush-Presbyterian St. Luke Medical Center in Chicago. He is board certified in radiation oncology, and is recipient of numerous honors and is an active member of several professional organizations.
Fang-Fang Yin, PhD, is director of the DKU Medical Physics program. He has served as Chief of the Division of Radiation Physics and Professor of Radiation Oncology at Duke University since 2004. The author of more than 200 refereed publications and book chapters, Yin’s research interests include image-guided radiation therapy, informatics in cancer treatment, advanced planning and delivery techniques, and quality assurance. Yin is a Fellow and Member-at Large of the Board of Directors of the American Association of Physicists in Medicine (AAPM). He earned his Ph.D. in Medical Physics from the University of Chicago.
