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 employed to compute the models. This trend reflects progressively individualized treatment concepts, the requirement for approaches that acquire a favorable balance between effectiveness and side-effects, and the aim of optimal resource utilization reflecting prognostic understanding. To be able to avoid misuse, you should comprehend the limits and caveats of prognostic and predictive models. This book supplies a comprehensive summary of such decision tools for radiation oncology, stratified by disease site, that will enable visitors to create informed options in daily clinical practice and also to significantly stick to the future growth and development of new tools within the area.
2014 | 305 Pages | ISBN: 3642371019 | PDF | 7 MB
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