MKI67 and glioma: The study of GAO et al. on using CE-T1WI sequence combined with machine learning algorithms to distinguish the expression of Ki-67 in glioma achieved good results, and the sensitivity, specificity and AUC were 0.91, 0.80 and 0.85, respectively [20].