Decision Tools for Radiation Oncology

Prognosis, Treatment Response and Toxicity

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,

Éditeur :

Springer


Collection :

Medical Radiology

Paru le : 2014-03-13



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Description

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.>
Pages
305 pages
Collection
Medical Radiology
Parution
2014-03-13
Marque
Springer
EAN papier
9783642371011
EAN EPUB
9783642371028

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
4219 Ko
Prix
105,49 €