Petrujkić K, Milošević N, Rajković N, et al. -Through a retrospective study of 55 individuals (30 glioblastomas and 25 solitary metastases) who underwent T2W/SWI/CET1 MRI, experts ascertained whether fractal, texture, or both MR image analyses could help in distinguishing glioblastoma from solitary brain metastasis. All five gray level co-occurrence matrix (GLCM) parameters received from T2W images exhibited a meaningful variance between glioblastomas and solitary metastases, as well as on CET1 images except correlation, counter to SWI images which presented distinctive values of two parameters. Only three fractal characteristics measured on T2W and D_norm measured on CET1 images significantly varied glioblastomas from solitary metastases. From inverse difference moment (SIDM) on T2W and SIDM on CET1 images, the highest sensitivity and specificity were achieved, respectively. A combination of several GLCM parameters gave superior outcomes. The processing of T2W images gave the most significantly distinctive parameters among the groups, succeeded by CET1 and SWI images. Hence, computational-aided quantitative image analysis could potentially enhance diagnostic exactitude. According to these results, in distinction glioblastoma from solitary metastasis, texture characteristics are more important than fractal-based characteristics.