Optimal threshold | CAD by ICA | Specificity | Sensitivity | NPV | PPV | Accuracy | AUC (95% CI) | ||
---|---|---|---|---|---|---|---|---|---|
No | Yes | ||||||||
CAD diagnosis: ICA ≥ 50%n = 228 | |||||||||
CCTA | 55% | ||||||||
No | 43 | 23 | 93.48% | 87.36% | 65.15% | 98.15% | 88.60% | 0.826 (0.771~0.873) | |
Yes | 3 | 159 | |||||||
CCTA-SS | 51% | ||||||||
No | 44 | 17 | 95.65% | 90.66% | 72.13% | 98.80% | 91.67% | 0.909 (0.864~0.943) | |
Yes | 2 | 165 | |||||||
P-values | <0.05 | ||||||||
Severe CAD diagnosis: ICA ≥ 70%n = 228 | |||||||||
CCTA | 68% | ||||||||
No | 50 | 33 | 54.95% | 75.91% | 60.24% | 71.72% | 67.54% | 0.521 (0.454~0.587) | |
Yes | 41 | 104 | |||||||
CCTA-SS | 51% | ||||||||
No | 89 | 10 | 97.80% | 92.70% | 89.90% | 98.45% | 94.74% | 0.927 (0.885~0.957) | |
Yes | 2 | 127 | |||||||
P-values | < 0.0001 |