Table 3.
Stratification analysis of ModelURC in external validation cohort.
| Cohort | Subgroup | AUC (95% CI) | SEN (%) | SPE (%) | ACC (%) | PPV (%) | NPV (%) |
|---|---|---|---|---|---|---|---|
| Tumor size | >2 cm | 0.903 (0.854–0.951) | 92.5 | 79.5 | 86.1 | 82.2 | 91.2 |
| ≤2 cm | 0.893 (0.844–0.941) | 93.1 | 76.1 | 85.7 | 83.5 | 89.5 | |
| HCC risk | high-risk | 0.890 (0.844–0.936) | 89.4 | 82.8 | 86.3 | 85.5 | 87.3 |
| low-risk | 0.913 (0.858–0.967) | 95.0 | 74.7 | 85.6 | 81.4 | 92.9 |
AUC: area under curve; CI: confidence interval; ACC: accuracy; SEN: sensitivity; SPE: specificity; PPV: positive predictive value; NPV: negative predictive value.
There were no statistical differences in sensitivity, specificity, accuracy and AUC neither between tumor sizes of ≤2 cm and >2 cm nor across different HCC risk stratifications in the three cohorts.