Table 1.
Results of the ROC Curve Analysis, Along With Their 95% Confidence Intervals, for the MR Datasets
| Dataset | Sensitivity,% | Specificity,% | AUC | Accuracy,% | PPV,% | NPV,% | MCC |
|---|---|---|---|---|---|---|---|
| IncV3‐ADC | 97.4 (96.2–99.9) | 91.1 (82.6–96.4) | 0.94 (0.88–0.98) | 93.1 (87–97) | 84.1 (69.9–93.4) | 98.6 (92.6–99.9) | 0.86 |
| IncV3‐PCT1W | 52.6 (35.8–69) | 83.5 (73.5–90.9) | 0.68 (0.59–0.76) | 71.8 (62.7–79.7) | 60.6 (42.1–77.1) | 76.7 (66.4–85) | 0.37 |
| Alex‐ADC | 52.6 (35.8–69) | 74.6 (63.6–83.8) | 0.63 (0.54–0.72) | 76.6 (69.6–82.4) | 50 (33.8–66.2) | 76.6 (65.6–85.5) | 0.14 |
| Alex‐PCT1W | 18.4 (7.7–34.3) | 91.1 (82.6–96.4) | 0.55 (0.45–0.64) | 67.5 (58.4–75.9) | 50 (23–77) | 69.9 (60–78.6) | 0.42 |
ROC: receiver operator curve; AUC: area under the curve; MCC: Matthews Correlation Coefficient; PPV: positive predictive value; NPV: negative predictive value.