CDKN2A and glioma: In this study, we investigated a noninvasive imaging method based on conventional MRI to establish radiomics models for predicting CDKN2A/B homozygosity deletion in gliomas, and the results showed that the logistic regression integrated model had the most excellent predictive performance (AUC of 0.880 and 0.825 for the training and validation sets, respectively).