Decision tools for radiation oncology : prognosis, treatment response, and toxicity / Carsten Nieder, Laurie E. Gaspar, editors.
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 signa...
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| Other Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Heidelberg :
Springer,
2014.
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| Series: | Medical radiology (Series)
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xiii, 305 pages) : illustrations. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3642371027 9783642371028 |
| ISSN: | 0942-5373 |