Table 1.
Statistics of diagnostic efficiency of 3-fold cross-validation in training set
| Modality | AUC (95%CI) | Cut-off | Sensitivity (%) | Specificity (%) | Accuracy (%) | p value |
|---|---|---|---|---|---|---|
| R_Frames | 0.901 (0.877–0.925) | 0.402 | 84.5 | 80.6 | 82.3 | NA |
| Phy_Images | 0.857 (0.825–0.889) | 0.411 | 71.8 | 87.2 | 80.3 | 0.009 |
| Fix_Frames | 0.815 (0.793–0.837) | 0.401 | 78.7 | 73.0 | 75.6 | 0.000 |
| All_Frames | 0.889 (0.864–0.914) | 0.521 | 75.3 | 89.1 | 82.9 | 0.002 |
Note: AUC: area under the curve; 95% CI: 95% confidence interval; R_Frames: responsible frame; Phy_Images: doctor frame selection; Fix_Frames: fixed interval frame selection; All_Frames: all frames of video; p: R_Frames vs. others; NA: Not Applicable.