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Table 3: Evaluation indexes of T1WI, T2WI, FLAIR, and compound models in the training and testing sets
Models AUC (95% CI) Accuracy Sensitivity Specificity
T1WI 
 Training set 0.781 (0.689–0.864) 0.690 0.745 0.622
 Testing set 0.500 (0.304–0.652) 0.459 0.571 0.312
T2WI 
 Training set 0.959 (0.924–0.987) 0.857 0.894 0.811
 Testing set 0.833 (0.697–0.944) 0.784 0.857 0.688
FLAIR 
 Training set 0.939 (0.898–0.979) 0.845 0.851 0.838
 Testing set 0.804 (0.664–0.918) 0.730 0.762 0.688
Compound 
 Training set 0.989 (0.976–0.999) 0.940 0.936 0.946
 Testing set 0.905 (0.803–0.979) 0.838 0.905 0.750

Models	AUC (95% CI)	Accuracy	Sensitivity	Specificity
T1WI
Training set	0.781 (0.689–0.864)	0.690	0.745	0.622
Testing set	0.500 (0.304–0.652)	0.459	0.571	0.312
T2WI
Training set	0.959 (0.924–0.987)	0.857	0.894	0.811
Testing set	0.833 (0.697–0.944)	0.784	0.857	0.688
FLAIR
Training set	0.939 (0.898–0.979)	0.845	0.851	0.838
Testing set	0.804 (0.664–0.918)	0.730	0.762	0.688
Compound
Training set	0.989 (0.976–0.999)	0.940	0.936	0.946
Testing set	0.905 (0.803–0.979)	0.838	0.905	0.750