Ontology highlight
ABSTRACT: Objectives
This study aimed to develop a disease-free survival (DFS) prediction model incorporating radiomics and intratumor heterogeneity (ITH) scores for locally advanced nasopharyngeal carcinoma (LANPC), and to establish an anti-epidermal growth factor receptor (EGFR) therapy risk model.Materials and methods
A retrospective analysis was conducted on 950 pathologically confirmed LANPC patients (training cohort: n = 632, including 81 receiving anti-EGFR therapy; test cohort: n = 318, including 47 receiving anti-EGFR therapy). All patients underwent 1.5 T MRI (T2-Weighted Imaging and contrast-enhanced T1-Weighted Imaging). Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) and support vector machine (SVM) survival algorithms. S
SUBMITTER: Lu Y
PROVIDER: S-EPMC12681638 | biostudies-literature | 2025 Jan-Dec
REPOSITORIES: biostudies-literature