Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning

Volume: 133, Pages: 106 - 112
Published: Apr 1, 2019
Abstract
Background and purpose Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine learning algorithms, we performed analyses of contributing factors in the development of RP to uncover previously unidentified criteria and elucidate the relative importance of individual factors....
Paper Details
Title
Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning
Published Date
Apr 1, 2019
Volume
133
Pages
106 - 112
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