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©The Author(s) 2024.
World J Gastrointest Surg. Aug 27, 2024; 16(8): 2546-2554
Published online Aug 27, 2024. doi: 10.4240/wjgs.v16.i8.2546
Published online Aug 27, 2024. doi: 10.4240/wjgs.v16.i8.2546
Variables | MVI present (n = 150) | MVI absent (n = 105) | P value |
Age | 52.1 | 52.0 | 0.8551 |
Male sex, n (%) | 118 (78.70) | 80 (76.20) | 0.3822 |
Basic condition | 0.1712 | ||
Hepatitis C | 5 | 6 | |
Hepatitis B | 132 | 86 | |
Alcoholic liver | 1 | 1 | |
Multiple | 12 | 12 | |
AFP values | 193.8 | 195.9 | 0.1661 |
AFP grade (+), n (%)3 | 68 (45.30) | 44 (41.20) | 0.5642 |
Differentiation | 0.9882 | ||
Low | 6 | 1 | |
Medium-low | 1 | 2 | |
Medium | 137 | 77 | |
Medium-high | 3 | 8 | |
High | 3 | 17 | |
MVI positive, n (%) | 111 (58.12) | 40 (62.50) | 0.5602 |
- Citation: Xu JY, Yang YF, Huang ZY, Qian XY, Meng FH. Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network. World J Gastrointest Surg 2024; 16(8): 2546-2554
- URL: https://www.wjgnet.com/1948-9366/full/v16/i8/2546.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v16.i8.2546