Table 3 Performance analysis for the Lung-RADS and ANN models (n = 234)
From: Artificial neural networks improve LDCT lung cancer screening: a comparative validation study
Scale/model | Lung-RADS | ANN |
|---|---|---|
Cut-off | Category 3 | > 0.012 |
AUC (95% CI) | 0.764 (0.705, 0.817) | 0.873 (0.823, 0.913) |
Classification accuracy (%) | 93.16 | 84.62 |
Sensitivity (95% CI) | 12.50 (0.3, 52.7) | 75.00 (34.9, 96.8) |
Specificity (95% CI) | 96.02 (92.6, 98.2) | 84.96 (79.6, 89.4) |
PPV (95% CI) | 10.0 (1.6, 43.7) | 15.0 (9.6, 22.6) |
NPV (95% CI) | 96.9 (96.0, 97.6) | 99.0 (96.7, 99.7) |
LR+ (95% CI) | 3.14 (0.5, 21.9) | 4.99 (3.0, 8.3) |
LR- (95% CI) | 0.91 (0.7, 1.2) | 0.29 (0.1, 1.0) |