Table 1.
Diagnostic performance of DOSM, DM, DOM, and GM for MVI classification.
| Model type | AUC (%, 95% CI) | Accuracy (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| DOSM | 95.01 (0.835–0.993) | 92.86 | 85.71 | 100 |
| DOM | 91.84 (0.792–0.980) | 88.1 | 80.95 | 95.24 |
| DM | 90.93 (0.780–0.976) | 85.71 | 80.95 | 90.48 |
| GM | 85.94 (0.717–0.947) | 83.33 | 80.95 | 85.71 |
AUC, area under the receiver operating characteristic curve; DOSM, MVI prediction model based on DEA feature map, OND feature map and SDSD feature map of ORF signals; DM, MVI prediction model based on DEA feature map; DOM, MVI prediction model based on DEA feature map and OND feature map; GM, MVI prediction model based on gray-scale ultrasound image.