MKI67 and meningioma: In previous studies, radiomics machine learning models used to predict meningioma grade or Ki-67 index have been observed to show significant differences in AUC between the training and validation sets [11, 15], the potential reason could be overfitting caused by the lower incidence rate of high grade or Ki-67 meningioma and relatively small sample size of the study.