Table 3.
Logistic Regression | Support Vector Machine | |
---|---|---|
T2 | 0.87 ± 0.07 (0.4) | 0.86 ± 0.05 (0.4) |
GdT1 | 0.93 ± 0.06 (0.9) * | 0.89 ± 0.10 (0.7) |
T2 + GdT1 | 0.95 ± 0.07 (0.7) | 0.92 ± 0.07 (0.7) |
The numbers in each cell represent AUC (mean ± standard deviation) and diagnostic accuracy in parentheses. Abbreviations: area under the curve—AUC; T2-weighted image—T2; post-gadolinium T1-weighted image—GdT1. * Highest accuracy.