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©The Author(s) 2024.
World J Gastrointest Oncol. Mar 15, 2024; 16(3): 857-874
Published online Mar 15, 2024. doi: 10.4251/wjgo.v16.i3.857
Published online Mar 15, 2024. doi: 10.4251/wjgo.v16.i3.857
Table 1 Characteristic baseline of patients in sets
Variables | Total set (n = 190) | Training set (n = 106) | Internal test set (n = 47) | External test set (n = 37) | P value |
VETC (%) | 0.986 | ||||
Positive | 94 (49) | 53 (50) | 23 (49) | 18 (49) | |
Negative | 96 (51) | 53 (50) | 24 (51) | 19 (51) | |
Age (median, IQR) | 57 (51, 66) | 58.5 (51, 65.75) | 56 (51.5, 67.5) | 57 (50, 64) | 0.708 |
Sex (%) | 0.555 | ||||
Male | 153 (81) | 83 (78) | 38 (81) | 32 (86) | |
Female | 37 (19) | 23 (22) | 9 (19) | 5 (14) | |
Hepatitis (%) | 0.799 | ||||
HBV or/and HCV | 171 (90) | 96 (91) | 41 (87) | 34 (92) | |
Negative | 19 (10) | 10 (9) | 6 (13) | 3 (8) | |
Cirrhosis (%) | 0.008 | ||||
Present | 158 (83) | 85 (80) | 36 (77) | 37 (100) | |
Absent | 32 (17) | 21 (20) | 11 (23) | 0 (0) | |
ALT (median, IQR) | 32 (19, 51.75) | 28 (18, 49) | 40 (22.5, 63) | 33 (22, 45) | 0.094 |
AST (median, IQR) | 37 (25, 61.5) | 36.5 (23.25, 1.75) | 49 (28.5, 78) | 30 (24, 46) | 0.041 |
GGT (median, IQR) | 59.25 (31, 131.25) | 61.75 (30, 127) | 76 (38.5, 143.5) | 49 (27, 98) | 0.157 |
AFP (median, IQR) | 49.06 (5.54, 9.25) | 62.74 (6.62, 9.25) | 56.78 (5.87, 16.5) | 34.74 (5.22, 798) | 0.516 |
Main tumor size (median, IQR) | 5.7 (3.2, 9.28) | 6.05 (3.02, 9.3) | 6.9 (3.45, 11.15) | 4.11 (3.2, 6.5) | 0.098 |
Multiplicity (%) | 0.037 | ||||
≥ 2 | 46 (24) | 29 (27) | 14 (30) | 3 (8) | |
1 | 144 (76) | 77 (73) | 33 (70) | 34 (92) | |
Single lobe involvement (%) | 0.064 | ||||
Present | 141 (74) | 74 (70) | 34 (72) | 33 (89) | |
Absent | 49 (26) | 32 (30) | 13 (28) | 4 (11) | |
Intratumor hemorrhage (%) | 0.179 | ||||
Present | 12 (6) | 9 (8) | 3 (6) | 0 (0) | |
Absent | 178 (94) | 97 (92) | 44 (94) | 37 (100) | |
Intratumor necrosis (%) | 0.131 | ||||
Present | 95 (50) | 57 (54) | 25 (53) | 13 (35) | |
Absent | 95 (50) | 49 (46) | 22 (47) | 24 (65) | |
Arterial phase hyper enhancement (%) | 0.701 | ||||
Present | 179 (94) | 101 (95) | 44 (94) | 34 (92) | |
Absent | 11 (6) | 5 (5) | 3 (6) | 3 (8) | |
Well defined capsule (%) | 0.143 | ||||
Present | 140 (74) | 75 (71) | 33 (70) | 32 (86) | |
Absent | 50 (26) | 31 (29) | 14 (30) | 5 (14) | |
Washout (%) | 0.249 | ||||
Present | 187 (98) | 105 (99) | 45 (96) | 37 (100) | |
Absent | 3 (2) | 1 (1) | 2 (4) | 0 (0) | |
Non-smooth tumor margin (%) | 0.435 | ||||
Present | 116 (61) | 69 (65) | 26 (55) | 21 (57) | |
Absent | 74 (39) | 37 (35) | 21 (45) | 16 (43) |
- Citation: Zhang C, Zhong H, Zhao F, Ma ZY, Dai ZJ, Pang GD. Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography. World J Gastrointest Oncol 2024; 16(3): 857-874
- URL: https://www.wjgnet.com/1948-5204/full/v16/i3/857.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i3.857