Figure 3.

A receiver operating characteristic (ROC) curve for EOR, preoperative ΔT2T1 MRI index, and postoperative residua tumor on T2-weighted images, to predict seizures relapse after surgery. The optimal diagnostic point is the one with maximal sensitivity and specificity. It is the point closest to the top left corner of the graph, indicated by the arrow. (A) The optimal threshold corresponded to an EOR of 85%, which was the point with the highest sensitivity (0.764) and specificity (0.644), with a resulting area under the curve of 0.783 (CI 95% 0.700–0.865) and a predictive accuracy of 72.90%; (B) for the preoperative ΔT2T1 MRI index, the threshold of 18 cm³ corresponded to the point with the highest sensitivity (0.689) and specificity (0.855), with a resulting area under the curve of 0.813 (CI 95% 0.731–0.895) and a predictive accuracy of 82.65%; (C) regarding the residual tumor, the optimal threshold corresponded to 15 cm³, which was the point with the highest sensitivity (0.556) and specificity (0.809), with a resulting area under the curve of 0.753 (CI 95% 0.663–0.842) and a predictive accuracy of 73.55%.