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 Topological and Statistical Methods for Complex Data by
Cover of the book Quality of Experience und Quality of Service im Mobilkommunikationsbereich by
Cover of the book Transesophageal Echocardiography by
Cover of the book Solar Ultraviolet Radiation by
Cover of the book The Future of Public Housing by
Cover of the book Mammography by
Cover of the book Formation and Cooperative Behaviour of Protein Complexes on the Cell Membrane by
Cover of the book Mathematische Algorithmen und Computer-Performance kompakt by
Cover of the book Elektrische Kontakte, Werkstoffe und Anwendungen by
Cover of the book Beyond Elder Law by
Cover of the book The Dental Pulp by
Cover of the book Standard-Based Data and Information Systems for Earth Observation by
Cover of the book Green Manufacturing Processes and Systems by
Cover of the book Bio-inspired Asymmetric Design and Building of Biomimetic Smart Single Nanochannels by
Cover of the book Laser Processing and Chemistry 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