©The Author(s) 2025.
World J Gastroenterol. Sep 14, 2025; 31(34): 111541
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.111541
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.111541
Table 1 Baseline characteristics of included patients
| Training cohort (n = 459) | Validation cohort (n = 196) | Test cohort (n = 171) | |||||||
| PD HCC (n = 89) | nPD HCC (n = 370) | P value | PD HCC (n = 30) | nPD HCC (n = 166) | P value | PD HCC (n = 36) | nPD HCC (n = 135) | P value | |
| Age (years) | 55.67 ± 10.56 | 57.24 ± 9.69 | 0.18 | 58.07 ± 9.12 | 58.95 ± 9.96 | 0.65 | 57.58 ± 8.75 | 59.67 ± 10.41 | 0.16 |
| Sex (male), n (%) | 73 (82.02) | 312 (84.32) | 0.71 | 25 (83.33) | 141 (84.94) | 1.00 | 27 (75.00) | 112 (82.96) | 0.15 |
| BMI (kg/m2) | 25.39 ± 3.39 | 25.14 ± 3.58 | 0.60 | 24.69 ± 3.68 | 24.95 ± 3.28 | 0.61 | 24.55 ± 3.23 | 25.07 ± 3.08 | 0.40 |
| HBV, n (%) | 61 (68.54) | 253 (68.38) | 1.00 | 23 (76.67) | 125 (75.30) | 1.00 | 26 (72.22) | 92 (68.15) | 0.79 |
| HCV, n (%) | 6 (6.74) | 23 (6.22) | 1.00 | 0 (0) | 5 (3.01) | 0.74 | 1 (2.78) | 7 (5.19) | 0.87 |
| Cirrhosis, n (%) | 64 (71.91) | 236 (63.78) | 0.19 | 25 (83.33) | 100 (60.24) | 0.03 | 24 (66.67) | 76 (56.30) | 0.35 |
| AFP (ng/mL), n (%) | |||||||||
| < 20 | 21 (23.60) | 215 (58.11) | < 0.001 | 6 (20.00) | 89 (53.61) | 0.001 | 11 (30.56) | 88 (65.19) | < 0.001 |
| 20-400 | 29 (32.58) | 83 (22.43) | 0.06 | 11 (36.67) | 49 (29.52) | 0.57 | 12 (33.33) | 27 (20.00) | 0.14 |
| > 400 | 39 (43.82) | 72 (19.46) | < 0.001 | 13 (43.33) | 28 (16.87) | 0.002 | 13 (36.11) | 20 (14.81) | 0.01 |
| ALT (U/L) | 39.43 ± 31.08 | 33.74 ± 27.29 | 0.06 | 30.81 ± 12.57 | 33.48 ± 26.51 | 0.47 | 37.92 ± 34.03 | 31.51 ± 25.20 | 0.17 |
| AST (U/L) | 32.54 ± 23.91 | 30.03 ± 22.88 | 0.13 | 29.26 ± 9.25 | 28.70 ± 18.83 | 0.09 | 32.58 ± 22.14 | 27.73 ± 14.45 | 0.11 |
| TB (umol/L) | 18.91 ± 27.90 | 13.55 ± 5.85 | 0.31 | 14.38 ± 5.32 | 13.78 ± 6.48 | 0.45 | 13.76 ± 9.14 | 12.16 ± 5.22 | 0.35 |
| Albumin (g/L) | 41.65 ± 4.19 | 41.53 ± 3.95 | 0.79 | 41.64 ± 4.63 | 41.14 ± 3.90 | 0.53 | 40.58 ± 4.12 | 41.78 ± 3.86 | 0.08 |
| PT (S) | 13.45 ± 0.97 | 13.51 ± 1.07 | 0.56 | 13.63 ± 0.85 | 13.39 ± 1.01 | 0.34 | 13.56 ± 1.14 | 13.60 ± 0.84 | 0.77 |
| Tumors size (mm) | 47.57 ± 22.08 | 47.91 ± 21.1 | 0.73 | 48.10 ± 25.78 | 49.83 ± 23.06 | 0.52 | 45.64 ± 19.51 | 50.90 ± 21.53 | 0.19 |
| Number of tumors, n (%) | |||||||||
| Solitary | 80 (89.89) | 330 (89.19) | 1.00 | 26 (86.67) | 153 (92.17) | 0.53 | 36 (100.00) | 126 (93.33) | 0.24 |
| Multiple | 9 (10.11) | 40 (10.81) | 4 (13.33) | 13 (7.83) | 0 (0) | 9 (6.67) | |||
- Citation: Wang ZZ, Song SM, Zhang G, Chen RQ, Zhang ZC, Liu R. Multiparametric magnetic resonance imaging of deep learning-based super-resolution reconstruction for predicting histopathologic grade in hepatocellular carcinoma. World J Gastroenterol 2025; 31(34): 111541
- URL: https://www.wjgnet.com/1007-9327/full/v31/i34/111541.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i34.111541