Radiotherapy Treatment Planning: Linear-quadratic Radiobiology by J. Donald ChapmanRadiotherapy Treatment Planning: Linear-quadratic Radiobiology by J. Donald Chapman

Radiotherapy Treatment Planning: Linear-quadratic Radiobiology

byJ. Donald Chapman, Alan E. NahumEditorJ. Donald Chapman

Hardcover | April 16, 2015

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Understand Quantitative Radiobiology from a Radiation Biophysics Perspective

In the field of radiobiology, the linear-quadratic (LQ) equation has become the standard for defining radiation-induced cell killing.Radiotherapy Treatment Planning: Linear-Quadratic Radiobiologydescribes tumor cell inactivation from a radiation physics perspective and offers appropriate LQ parameters for modeling tumor and normal tissue responses.

Explore the Latest Cell Killing Numbers for Defining Iso-Effective Cancer Treatments

The book compiles radiation mechanism information from biophysical publications of the past 50 years, addressing how ionizing radiation produces the killing of stem cells in human tumors. It presents several physical and chemical parameters that can modulate the radiation response of clonogenic cells in tumors. The authors describe the use of the LQ model in basic radiation mechanism studies with cells of relatively homogeneous radiation response and then extend the model to the fitting of survival data generated with heterogeneous cell populations (tumors). They briefly discuss how to use the LQ model for predicting tumor (local) control probability (TCP) and normal tissue complication probability (NTCP). The book also examines potential molecular targets related to alpha- and beta-inactivation and gives suggestions for further molecular characterizations of these two independent processes.

Develop Efficacious, Patient-Friendly Treatments at Reduced Costs

Focusing on quantitative radiobiology in LQ formulation, this book assists medical physicists and radiation oncologists in identifying improved cancer treatments. It also encourages investigators to translate potentially improved radiotherapy schedules based on TCP and NTCP modeling into actual patient benefit.

J. Donald Chapmanprovides 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 ...
Title:Radiotherapy Treatment Planning: Linear-quadratic RadiobiologyFormat:HardcoverDimensions:190 pages, 9.2 × 6.2 × 0.7 inPublished:April 16, 2015Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1439862591

ISBN - 13:9781439862599

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Table of Contents


The Generation of Quantitative Radiobiology Data

Intrinsic Radiosensitivity of Proliferating and Quiescent Cells

Effects of Ionization Density and Volume
Ionizations along Charged-Particle Tracks
The ABCs of Charged-Particle Radiotherapy
The Frequency of Electron Track-Ends in Radiation Dose

Impact of Fraction Size, Dose-Rate, Temperature and Overall Treatment Time on Tumor Cell Response

Ionizing Events, Molecular Targets and Lethal Lesions
Time-Scale of Radiation-Induced Cellular Damages and Their Expression
The Oxygen Effect and Oxygen Enhancement Ratio (OER)
Radiation Events'The Role of Energy Density and Ionization Volume
The Molecular Target(s) for Cell Inactivation
DNA Lesions Produced by Radiation in Cellular DNA

The Radiosensitivity of Tumor CellsIn VitroversusIn Vivo
The Radiosensitivity of Cells Irradiated in Multicellular Spheroids
The Radiosensitivity of Rodent Tumor Cells
Appropriate Inactivation Parameters for Modeling Human Tumor Response

Modern Radiobiology and the LQ Equation
Molecular Biology Factors of '- and '-Inactivation
Low Dose Hypersensitivity (LDH)
Bystander Effects

Normal Tissues Radiobiology
Information Derived fromIn VitroStudies of Normal Tissue Cell Lines
Therapeutic Ratio
Functional Subunits (FSUs) and the Volume Effect
A Summary of the QUANTEC Study

Radiobiology Applied to Tumor Response Modeling




Editorial Reviews

"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