Fig. 5From: Development of an integrated predictive model for postoperative glioma-related epilepsy using gene-signature and clinical dataConstruction and estimation of a predictive model for postoperative seizure occurrence in patients with diffuse high-grade gliomas (DHGGs). A, E, Nomograms showing that age, temporal lobe involvement, preoperative GRE, and gene-signature were included in the predictive model. B-C, F-G, Receiver operating characteristic (ROC) analysis showed that the predictive model had higher area under the curve (AUC) values compared with individual or combined variables. D, H, Calibration curves of a predictive model for postoperative seizure occurrence in patients with DHGGsBack to article page