Artzi M, et al. - This retrospective study was carried out by researchers to differentiate between glioblastoma and brain metastasis subtypes using radiomics analysis based on conventional post-contrast T₁-weighted (T₁W) MRI. For this investigation, they acquired data from 439 patients (212 patients with glioblastoma and 227 patients with brain metastasis {breast, lung, and others}). The best classification results for glioblastoma and brain metastasis subtypes were obtained by means of support-vector machine (SVM) classifier with mean accuracy = 0.85, 0.89, 0.75, 0.90; sensitivity = 1.00, 0.60, 0.57, 0.11; specificity = 0.76, 0.92, 0.87, 0.99; and area under the receiver operating characteristic curve (AUC) = 0.98, 0.81, 0.83, 0.57 for the glioblastoma, breast, lung, and other brain metastases. According to the findings, the glioblastoma and brain metastasis differentiation exhibited a high success rate based on postcontrast T₁W MRI. Additional MR sequences with other tissue contrasts might be required to classify between glioblastoma and brain metastasis subtypes.