Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.

We found associations between established MR imaging features and key molecular characteristics, although not of sufficient strength to allow the generation of machine learning classification models for reliable and clinically meaningful prediction of the assessed molecular characteristics in patients with newly diagnosed glioblastoma.