Table 4.
Diagnostic performance based on ADC
| Malignant (n = 100) vs. Benign (n = 82) | |||
|---|---|---|---|
| Parameters | With DLR (n = 182) | Without DLR (n = 182) | p-value |
| AUC | 0.921 | 0.904 | < 0.05 |
| 95% CI | 0.885–0.957 | 0.863–0.945 | / |
| Threshold ADC value (×10-3 mm2/s) | 1.355 | 1.475 | / |
| Sensitivity (%) | 90.2 (74/82) | 80.5 (66/82) | < 0.001 |
| Specificity (%) | 78 (78/100) | 83 (83/100) | < 0.001 |
| PPV (%) | 77.1 (74/96) | 79.5 (66/83) | 0.002 |
| NPV (%) | 90.7 (78/86) | 83.8 (83/99) | 0.001 |
| Accuracy (%) | 83.5 (152/182) | 81.9 (149/182) | < 0.001 |
| Youden index | 0.68 | 0.63 | / |
| Malignant (n = 100) vs. FNH (n = 18) + HH (n = 38) | |||
| Parameters | With DLR (n = 156) | Without DLR (n = 156) | p-value |
| AUC | 0.946 | 0.928 | 0.046 |
| 95% CI | 0.914-0.977 | 0.891-0.966 | / |
| Threshold ADC value (×10-3 mm2/s) | 1.375 | 1.365 | / |
| Sensitivity (%) | 96.4 (54/56) | 96.4 (54/56) | / |
| Specificity (%) | 79 (79/100) | 72 (72/100) | 0.121 |
| PPV (%) | 72.0 (54/75) | 65.9 (54/82) | 0.927 |
| NPV (%) | 97.5 (79/81) | 97.3 (72/74) | 0.249 |
| Accuracy (%) | 85.3(133/156) | 80.8(126/156) | 0.121 |
| Youden index | 0.75 | 0.68 | / |
Data are presented as AUC values, 95% confidence intervals, threshold values, and percentages (numerator/denominator)
ADC apparent diffusion coefficient, DLR deep learning reconstruction, FNH focal nodular hyperplasia, HH hepatic hemangioma, AUC area under the curve, CI confidence interval, PPV positive predictive values, NPV negative predictive values