Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone.

ABSTRACT:

Background

Glioblastoma (GBM) is the most common malignant central nervous system tumor, and MGMT promoter hypermethylation in this tumor has been shown to be associated with better prognosis. We evaluated the capacity of radiomics features to add complementary information to MGMT status, to improve the ability to predict prognosis.

Methods

159 patients with untreated GBM were included in this study and divided into training and independent test sets. 286 radiomics features were extracted from the magnetic resonance images acquired prior to any treatments. A least absolute shrinkage selection operator (LASSO) selection followed by Kaplan-Meier analysis was used to determine the prognostic value of radiomics features to predict overall survival (OS). The combina

SUBMITTER: Tixier F 

PROVIDER: S-EPMC6363013 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature