Copyright: ©Author(s) 2026.
World J Gastroenterol. Apr 14, 2026; 32(14): 116041
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.116041
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.116041
Table 1 Baseline characteristics of patients in the internal and external datasets, mean ± SD/n (%)
| Characteristics | Datasets from center 1 (n = 337) | Training and validation set from center 1 (n = 275) | Internal testing set from center 1 (n = 62) | External testing set 1 from center 2 (n = 76) | External testing set 2 from center 3 (n = 97) |
| Age (years) | 53.9 ± 11.3 (24-81) | 53.7 ± 11.1 (26-81) | 54.7 ± 12.2 (24-81) | 59.5 ± 12.1 (30-83) | 55.6 ± 11.5 (28-81) |
| Sex | |||||
| Male | 286 (84.9) | 229 (83.3) | 57 (91.9) | 59 (77.6) | 84 (86.6) |
| Female | 51 (15.1) | 46 (16.7) | 5 (8.1) | 17 (22.4) | 13 (13.4) |
| Etiology | |||||
| Hepatitis B | 265 (78.6) | 218 (79.3) | 47 (75.8) | 56 (73.7) | 86 (88.7) |
| Other | 72 (21.4) | 57 (20.7) | 15 (24.2) | 20 (26.3) | 11 (11.3) |
| With cirrhosis | 297 (88.1) | 246 (89.5) | 51 (82.3) | 31 (40.8) | 65 (67.0) |
| PLT (× 109/L) | 145.2 ± 122.9 | 146.9 ± 133.7 | 137.6 ± 57.8 | 143.8 ± 70.6 | 150.8 ± 75.7 |
| ALT (U/L) | 39.9 ± 43.6 | 39.8 ± 41.8 | 40.4 ± 51.3 | 27.6 ± 17.8 | 73.2 ± 206.5 |
| AST (U/L) | 36.2 ± 38.9 | 36.4 ± 39.4 | 35.5 ± 36.8 | 35.1 ± 18.8 | 75.4 ± 260.9 |
| ALB (g/L) | 43.0 ± 4.5 | 43.2 ± 4.3 | 41.7 ± 5.2 | 40.4 ± 5.3 | 39.5 ± 5.3 |
| TBIL (μmol/L) | 14.7 ± 8.0 | 15.0 ± 8.2 | 13.3 ± 6.8 | 19.0 ± 12.2 | 26.3 ± 41.7 |
| AKP (U/L) | 80.9 ± 29.5 | 82.3 ± 30.7 | 74.0 ± 22.2 | 113.0 ± 90.7 | 124.0 ± 60.8 |
| GGT (U/L) | 75.4 ± 110.9 | 79.5 ± 119.0 | 55.3 ± 52.8 | 104.9 ± 118.8 | 84.8 ± 81.6 |
Table 2 Performance of arterial phase hyper-enhancement, washout, and capsule classification
| Data sets and metrics | APHE | Washout | Capsule |
| Center 1 | |||
| AUC | 0.975 | 0.803 | 0.759 |
| Sensitivity, % | 94.4 | 85.0 | 76.5 |
| Specificity, % | 100.0 | 77.3 | 67.9 |
| Accuracy, % | 95.2 | 82.3 | 72.6 |
| F1 score | 0.971 | 0.861 | 0.754 |
| Center 2 | |||
| AUC | 0.898 | 0.824 | 0.800 |
| Sensitivity, % | 89.0 | 90.9 | 68.2 |
| Specificity, % | 91.7 | 70.7 | 92.7 |
| Accuracy, % | 89.4 | 81.2 | 80.0 |
| F1 score | 0.935 | 0.833 | 0.779 |
| Center 3 | |||
| AUC | 0.940 | 0.850 | 0.784 |
| Sensitivity, % | 91.6 | 80.0 | 73.2 |
| Specificity, % | 66.7 | 83.3 | 68.8 |
| Accuracy, % | 89.4 | 80.8 | 71.2 |
| F1 score | 0.941 | 0.865 | 0.732 |
Table 3 Performance of Liver Imaging Reporting and Data System category classification between grade 3 and combined grade 4/5
| Data sets and metrics | AUC | Sensitivity, % | Specificity, % | Accuracy, % | F1 score |
| Center 1 | 0.918 | 97.9 | 85.7 | 95.2 | 0.969 |
| Center 2 | 0.826 | 93.8 | 71.4 | 88.2 | 0.923 |
| Center 3 | 0.861 | 92.1 | 80.0 | 90.4 | 0.943 |
Table 4 Comparison of running time between evidence-based automated Liver Imaging Reporting and Data System grade 3, 4, and 5 categorization system and radiologists, mean ± SD
| Data sets | Time of Evi-LIRADS (seconds per patient) | Time of radiologists (seconds per patient) |
| Center 1 | 6.6 ± 3.4 | 35.4 ± 15.1 |
| Center 2 | 18.8 ± 22.6 | 31.8 ± 7.6 |
| Center 3 | 18.8 ± 13.1 | 40.2 ± 16.1 |
| Average for three centers | 14.7 | 35.8 |
- Citation: Xia XQ, Sheng RF, Zheng RC, Dai YX, Yang L, Chu YH, Zhang H, Wu XR, Shi NN, Wang CY, Zeng MS, Wang H. Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization for the diagnosis of hepatocellular carcinoma. World J Gastroenterol 2026; 32(14): 116041
- URL: https://www.wjgnet.com/1007-9327/full/v32/i14/116041.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i14.116041
