Non-invasive identification of mesenchymal glioblastoma using quantitative radiomic features from advanced diffusion MRI: a preclinical-to-clinical transfer learning strategy.

ABSTRACT:

Background

Glioblastoma (GBM) is no longer regarded as a single disease, as distinct molecular subgroups exist, with the mesenchymal (MES) having the worst prognosis. As such, there is a critical need for noninvasive methods to determine GBM molecular status. Although conventional magnetic resonance imaging (MRI)-based radiomics showed promise for predicting GBM characteristics, few studies evaluated pipelines that leverage advanced diffusion MRI (dMRI) techniques, such as diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), enabling characterization and quantification of tumor microstructure.

Materials and methods

To identify advanced dMRI radiomic features specific to MES GBM, we enrolled 36 GBM patients (4 mesenchymal, 32 non-mese

SUBMITTER: Gallotti AL 

PROVIDER: S-EPMC12618778 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature