Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients.

ABSTRACT:

Purpose

Identifying radiomics features that help predict whether glioblastoma patients are prone to developing epilepsy may contribute to an improvement of preventive treatment and a better understanding of the underlying pathophysiology.

Materials and methods

In this retrospective study, 3-T MRI data of 451 pretreatment glioblastoma patients (mean age: 61.2 ± 11.8 years; 268 men, 183 women) were analyzed. Three hundred thirty-six patients reported no epilepsy, while 115 patients were diagnosed with symptomatic epilepsy. A total of 1,546 radiomics features were extracted from contrast-enhancing tumor, peritumoral regions, and normal-appearing white matter as regions of interest using PyRadiomics. The dataset was initially split into a training (70%) and a validation (30%) co

SUBMITTER: Yun YC 

PROVIDER: S-EPMC12416087 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature