Table 10.
The ROC curve of different models of SVM-classifier in the validation cohort.
Classifiers | Model | AUC | 95% CI | Sensitivity | Specificity |
---|---|---|---|---|---|
SVM | T1WI | 0.629 | 0.409 - 0.815 | 1.000 | 0.429 |
T2WI | 0.829 | 0.621 - 0.950 | 0.800 | 0.786 | |
CE-T1WI | 0.771 | 0.556 - 0.916 | 1.000 | 0.500 | |
T1WI+T2WI | 0.879 | 0.681 - 0.975 | 0.800 | 0.857 | |
T1WI+CE-T1WI | 0.643 | 0.423 - 0.826 | 0.800 | 0.500 | |
T2WI+CE-T1WI | 0.829 | 0.621 - 0.950 | 0.800 | 0.786 | |
T1WI+T2WI+CE-T1WI | 0.929 | 0.746 - 0.993 | 0.900 | 0.857 |
T1WI, T1-weighted imaging; T2WI, T2-weighted imaging; AUC, area under curve; 95% CI, 95% confidence interval; SVM, support vector machine.