Artzi M, et al. - To distinguish between glioblastoma and brain metastasis subtypes using radiomics analysis based on conventional post-contrast T₁-weighted (T₁W) MRI, the researchers recruited a total of 439 patients, out of which 212 subjects had glioblastoma and 227 subjects had brain metastasis (breast, lung, and others) in a retrospective study. Image preprocessing, segmentation of tumor area, and features extraction were included. With mean accuracy of 0.85, sensitivity of 0.86, specificity of 0.85, and area under the receiver operating characteristic curve of 0.96, the best outcomes for distinction of glioblastoma from brain metastasis were discovered using the the best results for differentiation of glioblastoma from brain metastasis were obtained using the support-vector machine (SVM) classifier. The best classification outcomes amons glioblastoma and brain metastasis subtypes were gained using SVM classifier. Hence, distinction between glioblastoma and brain metastasis demonstrated a high success rate based on postcontrast T₁W MRI. Moreover, classification between glioblastoma and brain metastasis subtypes may need additional MR sequences with other tissue contrasts.