Description:
The treatment of a patient with radiation therapy is planned to find the optimal way to treat a tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability of accurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance. This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in
2010. Features: Addresses the lack of systemization in the field, providing educational materials on predictive models, including methods, tools, and the evaluation of uncertainties Collects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapy Edited by two leading experts in the field
Table of Contents:
CHAPTER 1 ▪ The Importance of the Quality of Data
CHAPTER 2 ▪ Building a Predictive Model of Toxicity: Methods
CHAPTER 3 ▪ Potentials and Limits of Phenomenological Models
CHAPTER 4 ▪ Pelvis: Rectal and Bowel Toxicity
CHAPTER 5 ▪ Pelvis: Urinary Toxicity
CHAPTER 6 ▪ Stomach, Duodenum, Liver, and Central Hepatobiliary Tract
CHAPTER 7 ▪ Central Nervous System (Brain, Brainstem, Spinal Cord), Ears, Ocular Toxicity
CHAPTER 8 ▪ Head and Neck: Parotids
CHAPTER 9 ▪ Head and Neck: Larynx and Structures Involved in Swallowing/Nutritional Problems and Dysphonia
CHAPTER 10 ▪ Thorax: Lungs and Esophagus
CHAPTER 11 ▪ Heart and Vascular Problems
CHAPTER 12 ▪ Adverse Effects to the Skin and Subcutaneous Tissue
CHAPTER 13 ▪ Bone Marrow and Hematological Toxicity
CHAPTER 14 ▪ Predicting Toxicity in External Radiotherapy: A Critical Summary
CHAPTER 15 ▪ Data Sharing and Toxicity Modelling: A Vision of the Near Future
CHAPTER 16 ▪ Quantitative Imaging for Assessing and Predicting Toxicity
CHAPTER 17 ▪ Beyond DVH: 2D/3D-Based Dose Comparison to Assess Predictors of Toxicity
CHAPTER 18 ▪ Radiobiological Models in (Automated) Treatment Planning
CHAPTER 19 ▪ Including Genetic Variables in NTCP Models Where Are We? Where Are We Going?
INDEX
Recenzii
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