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Glioblastoma multiforme (GBM) is the most common and aggressive primary brain cancer. Four molecular subtypes of GBM have been described but can only be determined by an invasive brain biopsy. The goal of this study is to evaluate the utility of texture features extracted from magnetic resonance imaging (MRI) scans as a potential noninvasive method to characterize molecular subtypes of GBM and to predict 12‐month overall survival status for GBM patients.

The authors manually segmented the tumor regions from postcontrast T1 weighted and T2 fluid‐attenuated inversion recovery (FLAIR) MRI scans of 82 patients with de novo GBM. For each patient, the authors extracted five sets of computer‐extracted texture features, namely, 48 segmentation‐based fractal texture analysis (SFTA) features, 576 histogram of oriented gradients (HOGs) features, 44 run‐length matrix (RLM) features, 256 …