Linear mixed-effects model analysis of different methods for classifying amyloid PET imaging
| Factor | Accuracy | Sensitivity | Specificity | |||
|---|---|---|---|---|---|---|
| Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | |
| Type (ResNet-50 vs. -152) | 0.96 (0.89–1.03) | .258 | 0.916 (0.82–1.02) | .112 | 1.00 (0.89-1.11) | .944 |
| Method (binary classification vs. regression first) | 0.79 (0.70–0.89) | <.001 | 0.54 (0.45–0.63) | <.001 | 1.24 (1.03–1.50) | .024 |
| Initialization (random vs. pretrained) | 0.33 (0.30–0.37) | <.001 | 0.45 (0.38–0.53) | <.001 | 0.22 (0.19–0.26) | <.001 |
| Slices (1 vs. 3) | 1.17 (1.08–1.26) | <.001 | 1.15 (1.03-1.28) | .012 | 1.22 (1.10–1.36) | <.001 |
Parenthesis refer to 95% confidence intervals for odds ratios.