Table 2.
Comparing classification performance based on features used
Features used | Sensitivity | Specificity | PPV | NPV | Accuracy |
---|---|---|---|---|---|
Vasculature features (F1 and F2) | 0.74 ± 0.019 | 0.77 ± 0.006 | 0.49 ± 0.018 | 0.91 ± 0.007 | 0.76 ± 0.008 |
Texture measures (F3 to F8) | 0.68 ± 0.022 | 0.76 ± 0.007 | 0.50 ± 0.019 | 0.87 ± 0.012 | 0.74 ± 0.010 |
Combined (7 PCs of F1 to F8) | 0.82 ± 0.022 | 0.86 ± 0.011 | 0.73 ± 0.025 | 0.91 ± 0.011 | 0.85 ± 0.013 |
NOTE. Performance values were evaluated using different gold standards: cognitive tests (Cog.) and amyloid status (Aβ).
Abbreviations: PPV, positive predictive value; NPV, negative predictive value.