Radiotherapy Treatment Planning

J. Donald Chapman provides consulting services to various radiation medicine commercial and academic organizations. His research has contributed to the fields of hypoxic radiosensitizing drugs, nuclear medicine markers of viable hypoxic cells, mechanisms of photodynamic therapy, and the killing of tumor cells by ionizing radiations. He has authored and co-authored over 200 articles in scientific journals and conference proceedings, served on the editorial boards of numerous radiation research journals, and received several international research awards. He earned a PhD in biophysics from the Pennsylvania State University.Alan E. Nahum is head of physics research at Clatterbridge Cancer Centre and a visiting professor in the Department of Physics at Liverpool University. His current research focuses on radiobiologically guided treatment optimization through the individualization of tumor prescription and fractionation. He has edited and co-edited three books, including Handbook of Radiotherapy Physics: Theory and Practice, and authored and co-authored approximately 170 peer-reviewed papers, book chapters, and conference proceedings. He earned a PhD in theoretical radiation dosimetry from the University of Edinburgh.

"I found the book fairly easy to read and it is not bogged down too much by complex biological jargon, which will be a relief to most medical physicists. … You get the sense that through their course and books, they [the authors] are really trying to give something back to the radiotherapy community."—Scope, September 2015"This book competently reviews the background science of the linear-quadratic (LQ) model with a clear mandate of applicability to clinical radiation oncology. These respected researchers and exceptional authors form the ideal team to implement radiobiological optimization."—Jerry J. Battista, PhD, Professor and Chair, Department of Medical Biophysics, Western University, London, Ontario, Canada"… synthesizes this complex field for contemporary practitioners in a highly useful and readable way."—Matthew B. Parliament, MD, Medical Director, Cross Cancer Institute, Alberta, Canada

• Introduction. The Generation of Quantitative Radiobiology Data. Intrinsic Radiosensitivity of Proliferating and Quiescent Cells. Effects of Ionization Density and Volume. Impact of Fraction Size, Dose-Rate, Temperature and Overall Treatment Time on Tumor Cell Response. Ionizing Events, Molecular Targets and Lethal Lesions. The Radiosensitivity of Tumor Cells In Vitro versus In Vivo. Modern Radiobiology and the LQ Equation. Normal Tissues Radiobiology. Radiobiology Applied to Tumor Response Modeling. Epilogue. References. Index.