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©The Author(s) 2025.
World J Hepatol. Aug 27, 2025; 17(8): 109530
Published online Aug 27, 2025. doi: 10.4254/wjh.v17.i8.109530
Published online Aug 27, 2025. doi: 10.4254/wjh.v17.i8.109530
Table 1 Baseline characteristics of the included patients, n (%)/mean ± SD
Total (n = 198) | Training (n = 138) | Validation (n = 60) | P value | ||
Age (Years) | 62.53 ± 10.39 | 62.27 ± 10.38 | 63.13 ± 10.47 | 0.624 | |
Sex | Male | 164 (82.83) | 117 (84.78) | 47 (78.33) | 0.368 |
Female | 34 (17.17) | 21 (15.22) | 13 (21.67) | ||
ALT (U/L) | 35.96 ± 32.93 | 36.51 ± 35.22 | 34.70 ± 27.14 | 0.962 | |
AST (U/L) | 74.23 ± 44.00 | 71.43 ± 43.04 | 80.65 ± 45.87 | 0.189 | |
TB (μmol/L) | 16.38 ± 11.32 | 16.35 ± 12.90 | 16.46 ± 6.42 | 0.096 | |
Cirrhosis | Positive | 55 (27.78) | 39 (28.26) | 16 (26.67) | 0.954 |
Negative | 143 (72.22) | 99 (71.74) | 44 (73.33) | ||
AFP | ≤ 20 ng/mL | 106 (53.54) | 77 (55.80) | 29 (48.33) | 0.416 |
> 20 ng/mL | 92 (46.46) | 61 (44.20) | 31 (51.67) | ||
HBV/HCV | Positive | 146 (73.74) | 99 (71.74) | 47 (78.33) | 0.428 |
Negative | 52 (26.26) | 39 (28.26) | 13 (21.67) | ||
BCLC stage | 0-A | 178 (89.90) | 124 (89.86) | 54 (90.00) | 1.0 |
BC | 20 (10.10) | 14 (10.14) | 6 (10.00) | ||
Child-Pugh | A | 183 (92.42) | 125 (90.58) | 58 (96.67) | 0.232 |
B | 15 (7.58) | 13 (9.42) | 2 (3.33) | ||
HCC number | 1 | 185 (93.43) | 129 (93.48) | 56 (93.33) | 1.0 |
2 | 13 (6.57) | 9 (6.52) | 4 (6.67) | ||
Irregular shape | Positive | 103 (52.02) | 69 (50.00) | 34 (56.67) | 0.479 |
Negative | 95 (47.98) | 69 (50.00) | 26 (43.33) | ||
Nonsmooth margin | Positive | 117 (59.09) | 83 (60.14) | 34 (56.67) | 0.764 |
Negative | 81 (40.91) | 55 (39.86) | 26 (43.33) | ||
Enhancing capsule | Positive | 168 (84.85) | 120 (86.96) | 48 (80.00) | 0.299 |
Negative | 30 (15.15) | 18 (13.04) | 12 (20.00) | ||
Mosaic architecture | Positive | 115 (58.08) | 84 (60.87) | 31 (51.67) | 0.294 |
Negative | 83 (41.92) | 54 (39.13) | 29 (48.33) | ||
Peritumoral enhancement | Positive | 82 (41.41) | 58 (42.03) | 24 (40.00) | 0.913 |
Negative | 116 (58.59) | 80 (57.97) | 36 (60.00) | ||
Intratumoral fat content | Positive | 63 (31.82) | 39 (28.26) | 24 (40.00) | 0.143 |
Negative | 135 (68.18) | 99 (71.74) | 36 (60.00) | ||
Intratumoral blood products | Positive | 72 (36.36) | 49 (35.51) | 23 (38.33) | 0.827 |
Negative | 126 (63.64) | 89 (64.49) | 37 (61.67) | ||
Ki-67 expression | Grade 1 | 119 (60.10) | 78 (56.52) | 41 (68.34) | 0.196 |
Grade 2 | 53 (26.77) | 42 (30.44) | 11 (18.33) | ||
Grade 3 | 26 (13.13) | 18 (13.04) | 8 (13.33) |
- Citation: Zuo XY, Liu HF. Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. World J Hepatol 2025; 17(8): 109530
- URL: https://www.wjgnet.com/1948-5182/full/v17/i8/109530.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i8.109530