Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma.

ABSTRACT:

Purpose

To explore the value of MRI-based radiomics features in predicting risk in disease progression for nasopharyngeal carcinoma (NPC).

Methods

199 patients confirmed with NPC were retrospectively included and then divided into training and validation set using a hold-out validation (159: 40). Discriminative radiomic features were selected with a Wilcoxon signed-rank test from tumors and normal masticatory muscles of 37 NPC patients. LASSO Cox regression and Pearson correlation analysis were applied to further confirm the differential expression of the radiomic features in the training set. Using the multiple Cox regression model, we built a radiomic feature-based classifier, Rad-Score. The prognostic and predictive performance of Rad-Score was validated in the validation

SUBMITTER: Bao D 

PROVIDER: S-EPMC8683387 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature