Table 3.
Sensitivity and specificity results for the rule-out thresholds
Model | Threshold | Sensitivity (95% CI) | Specificity (95% CI) | Negative likelihood ratio (95% CI) | True positive | False negative | True negative | False positive |
LCP-CNN | 1.28 | 99.57 (98.62 to 100.00) | 28.03 (25.51 to 30.62) | 0.02 (0 to 0.05) | 233 | 1 | 326 | 837 |
Brock | 1.17 | 97.44 (95.26 to 99.18) | 29.23 (26.69 to 31.88) | 0.09 (0.03 to 0.16) | 228 | 6 | 340 | 823 |
LCP-CNN, lung cancer prediction convolutional neural network.