Overview
- Comprehensive overview of prognostic and predictive models for radiation oncology, stratified by disease site
- Identification of models’ limits and caveats
- Excellent aid to decision making in daily clinical practice
- Includes supplementary material: sn.pub/extras
Part of the book series: Medical Radiology (MEDRAD)
Part of the book sub series: Radiation Oncology (Med Radiol Radiat Oncol)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
A look at the recent oncology literature or a search of the common databases reveals a steadily increasing number of nomograms and other prognostic models. These models may predict the risk of relapse, lymphatic spread of a given malignancy, toxicity, survival, etc. Pathology information, gene signatures, and clinical data may all be used to compute the models. This trend reflects increasingly individualized treatment concepts, the need for approaches that achieve a favorable balance between effectiveness and side-effects, and the goal of optimal resource utilization reflecting prognostic knowledge. In order to avoid misuse, it is important to understand the limits and caveats of prognostic and predictive models. This book provides a comprehensive overview of such decision tools for radiation oncology, stratified by disease site, which will enable readers to make informed choices in daily clinical practice and to critically follow the future development of new tools in the field.>
Reviews
“The textbook ‘Decision Tools for Radiation Oncology’ represents a laudable international effort in updating practicing clinicians as well as clinicians-in-training on the novel developments in the field of radiation oncology with a special focus on decision tools and nomograms, bringing data on new biomarkers and novel imaging techniques, and teaching the readers how best to incorporate various patient and tumor-specific characteristics into the discussion of radiation therapy benefits and shortcomings.” (Timur Mitin, Journal of Radiation Oncology, Vol. 4, 2015)
Editors and Affiliations
Bibliographic Information
Book Title: Decision Tools for Radiation Oncology
Book Subtitle: Prognosis, Treatment Response and Toxicity
Editors: Carsten Nieder, Laurie E. Gaspar
Series Title: Medical Radiology
DOI: https://doi.org/10.1007/978-3-642-37102-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-37101-1Published: 03 April 2014
Softcover ISBN: 978-3-662-52265-3Published: 01 October 2016
eBook ISBN: 978-3-642-37102-8Published: 13 March 2014
Series ISSN: 0942-5373
Series E-ISSN: 2197-4187
Edition Number: 1
Number of Pages: XIII, 305
Number of Illustrations: 45 b/w illustrations, 45 illustrations in colour
Topics: Radiotherapy, Oncology