From: Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning
Metrics | Radiologists | Model-assisted radiologists | ||||
---|---|---|---|---|---|---|
Radiological resident | Expert radiologist | Radiological resident | p valuea | Expert radiologist | P valueb | |
Accuracy (%) | 70.69 (58.18–81.82) | 79.31 (69.09–89.14) | 77.51 (67.27–87.32) | 0.572 | 82.55 (70.91–90.91) | 0.152 |
Sensitivity (%) | 78.38 (63.89–91.18) | 89.19 (76.92–97.30) | 89.22 (78.79–97.44) | 0.424 | 94.85 (85.71–100.00) | 0.508 |
Specificity (%) | 57.14 (33.33–78.58) | 61.90 (40.72–83.33) | 57.20 (34.99–78.57) | 0.990 | 61.51 (40.00–82.36) | 0.302 |
PPV (%) | 76.32 (62.16–89.29) | 80.49 (68.42–92.50) | 78.27 (65.00–90.24) | / | 80.87 (68.18–92.50) | / |
NPV (%) | 60.00 (35.71–82.35) | 76.47 (52.94–94.44) | 75.34 (52.93–95.00) | / | 87.41 (66.67–100.00) | / |
Cohen’s κ | 0.359 (0.082–0.599) | 0.533 (0.299–0.766) | 0.484 (0.238–0.725) | / | 0.596 (0.369–0.802) | / |