Table 9.
Classifiers | Model | AUC | 95% CI | Sensitivity | Specificity |
---|---|---|---|---|---|
SVM | T1WI | 0.829 | 0.702 - 0.918 | 0.957 | 0.677 |
T2WI | 0.973 | 0.888 - 0.998 | 1.000 | 0.838 | |
CE-T1WI | 0.935 | 0.834 - 0.984 | 1.000 | 0.871 | |
T1WI+T2WI | 0.930 | 0.826 - 0.981 | 0.957 | 0.839 | |
T1WI+CE-T1WI | 0.885 | 0.769 - 0.956 | 0.783 | 0.871 | |
T2WI+CE-T1WI | 0.973 | 0.888 - 0.998 | 1.000 | 0.839 | |
T1WI+T2WI+CE-T1WI | 0.938 | 0.838 - 0.986 | 0.957 | 0.903 |
T1WI, T1-weighted imaging; T2WI, T2-weighted imaging; AUC, area under curve; 95% CI, 95% confidence interval; SVM, support vector machine.