Sun et al. found that the tumor radiomics model based on T2WI could better predict the expression of Ki-67 in glioma, and the sensitivity, specificity and AUC were 0.818, 0.833 and 0.773, respectively [18]. Here, MKI67 is linked to neoplasm.