CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm

Volume: 125, Issue: 1, Pages: 87 - 97
Published: Sep 24, 2019
Abstract
Radiomic features, clinical and dosimetric factors have the potential to predict radiation-induced toxicity. The aim of this study was to develop prediction models of radiotherapy-induced toxicities in prostate cancer patients based on computed tomography (CT) radiomics, clinical and dosimetric parameters. In this prospective study, prostate cancer patients were included, and radiotherapy-induced urinary and gastrointestinal (GI) toxicities were...
Paper Details
Title
CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm
Published Date
Sep 24, 2019
Volume
125
Issue
1
Pages
87 - 97
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