MRI-Based Random Survival Forest Model Improves the Prediction of Progression-Free Survival to Induction Chemotherapy plus Concurrent Chemoradiotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma
Abstract:BackgroundThe present study aimed to explore the application value of random survival forest (RSF) model and Cox model in predicting the progression-free survival (PFS) among patients with locoregionally advanced nasopharyngeal carcinoma (LANPC) after induction chemotherapy plus concurrent chemoradiotherapy (IC+CCRT).MethodsEligible LANPC patients underwent magnetic resonance imaging (MRI) scan before treatment were subjected to radiomics feature extraction. Radiomics and clinical features of patients in the t… Show more
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