MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study.

ABSTRACT:

Background

Accurate preoperative prediction of glioma is crucial for developing individualized treatment decisions and assessing prognosis. In this study, we aimed to establish and evaluate the value of integrated models by incorporating the intratumoral and peritumoral features from conventional MRI and clinical characteristics in the prediction of glioma grade.

Methods

A total of 213 glioma patients from two centers were included in the retrospective analysis, among which, 132 patients were classified as the training cohort and internal validation set, and the remaining 81 patients were zoned as the independent external testing cohort. A total of 7728 features were extracted from MRI sequences and various volumes of interest (VOIs). After feature selection, 30 radiomic mod

SUBMITTER: Tan R 

PROVIDER: S-EPMC11128562 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature