Table 7.
Classifiers | Model | AUC | 95% CI | Sensitivity | Specificity |
---|---|---|---|---|---|
LR | T1WI | 0.686 | 0.488 - 0.873 | 0.400 | 0.786 |
T2WI | 0.850 | 0.699 - 0.981 | 0.600 | 0.750 | |
CE-T1WI | 0.870 | 0.655 - 0.965 | 0.500 | 0.786 | |
T1WI+T2WI | 0.879 | 0.746 - 0.993 | 0.700 | 0.929 | |
T1WI+CE-T1WI | 0.736 | 0.533 - 0.902 | 0.400 | 0.786 | |
T2WI+CE-T1WI | 0.850 | 0.699 - 0.981 | 0.600 | 0.750 | |
T1WI+T2WI+CE-T1WI | 0.914 | 0.776 - 0.998 | 0.700 | 0.929 |
T1WI, T1-weighted imaging; T2WI, T2-weighted imaging; AUC, area under curve; 95% CI, 95% confidence interval; LR, logistic regression.