Decision Tools for Radiation Oncology

Prognosis, Treatment Response and Toxicity

Nonfiction, Health & Well Being, Medical, Specialties, Radiology & Nuclear Medicine, Oncology
Cover of the book Decision Tools for Radiation Oncology by , Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783642371028
Publisher: Springer Berlin Heidelberg Publication: March 13, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783642371028
Publisher: Springer Berlin Heidelberg
Publication: March 13, 2014
Imprint: Springer
Language: English

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.>

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.>

More books from Springer Berlin Heidelberg

Cover of the book Palliativmedizin by
Cover of the book Measuring Intra-Party Democracy by
Cover of the book FDG PET/CT in Clinical Oncology by
Cover of the book Diffraction Radiation from Relativistic Particles by
Cover of the book Psychoedukation bei chronischen Schmerzen by
Cover of the book Bioinformatik by
Cover of the book Dynamical Analysis of Non-Fourier Heat Conduction and Its Application in Nanosystems by
Cover of the book Dienstübergabe in der Pflege by
Cover of the book Evaluation of Cardiac Function by Echocardiography by
Cover of the book Global Risk-Based Management of Chemical Additives II by
Cover of the book Advances in Ergonomic Design of Systems, Products and Processes by
Cover of the book Urban Land by
Cover of the book Protein Structure Analysis by
Cover of the book Space, Time, and Spacetime by
Cover of the book Social - Local - Mobile by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy