Copyright
©The Author(s) 2023.
World J Gastroenterol. Nov 21, 2023; 29(43): 5804-5817
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Variable | Overall (n = 371) | No HCC recurrence (n = 152) | HCC recurrence (n = 219) | P value | Training set (n = 296) | Test set (n = 75) | P value | |
Liver cirrhosis, n (%) | No | 85 (22.911) | 28 (18.421) | 57 (26.027) | 0.086 | 85 (22.911) | 69 (23.311) | 0.716 |
Yes | 286 (77.089) | 124 (81.579) | 162 (73.973) | 227 (76.689) | 59 (78.667) | |||
Tumor size, n (%), cm | ≤ 2 | 42 (11.321) | 16 (10.526) | 26 (11.872) | 0.027 | 29 (9.797) | 13 (17.333) | 0.308 |
2-5 | 168 (45.283) | 78 (51.316) | 90 (41.096) | 137 (46.284) | 31 (41.333) | |||
5-10 | 109 (29.380) | 46 (30.263) | 63 (28.767) | 87 (29.392) | 22 (29.333) | |||
≥ 10 | 52 (14.016) | 12 (7.895) | 40 (18.265) | 43 (14.527) | 9 (12.000) | |||
Tumor number, n (%) | 1 | 285 (76.819) | 128 (84.211) | 157 (71.689) | 0.005 | 229 (77.365) | 56 (74.667) | 0.621 |
≥ 2 | 86 (23.181) | 24 (15.789) | 62 (28.311) | 67 (22.635) | 19 (25.333) | |||
Homogeneous tumor enhancement, n (%) | No | 297 (80.054) | 119 (78.289) | 178 (81.279) | 0.479 | 238 (80.405) | 59 (78.667) | 0.736 |
Yes | 74 (19.946) | 33 (21.711) | 41 (18.721) | 58 (19.595) | 16 (21.333) | |||
Intratumoral necrosis, n (%) | No | 142 (38.275) | 69 (45.395) | 73 (33.333) | 0.019 | 113 (38.176) | 29 (38.667) | 0.938 |
Yes | 229 (61.725) | 83 (54.605) | 146 (66.667) | 183 (61.824) | 46 (61.333) | |||
Tumor envelope intactness, n (%) | No | 145 (39.084) | 60 (39.474) | 85 (38.813) | 0.898 | 117 (39.527) | 28 (37.333) | 0.728 |
Yes | 226 (60.916) | 92 (60.526) | 134 (61.187) | 179 (60.473) | 47 (62.667) | |||
Regular tumor margin, n (%) | No | 176 (47.439) | 73 (48.026) | 103 (47.032) | 0.850 | 139 (46.959) | 37 (49.333) | 0.713 |
Yes | 195 (52.561) | 79 (51.974) | 116 (52.968) | 157 (53.041) | 38 (50.667) | |||
Intratumoral arteries, n (%) | No | 174 (46.900) | 89 (58.553) | 85 (38.813) | < 0.001 | 135 (45.608) | 39 (52.000) | 0.322 |
Yes | 197 (53.100) | 63 (41.447) | 134 (61.187) | 161 (54.392) | 36 (48.000) | |||
Adjacency to major vessels, n (%) | No | 216 (58.221) | 93 (61.184) | 123 (56.164) | 0.335 | 171 (57.770) | 45 (60.000) | 0.727 |
Yes | 155 (41.779) | 59 (38.816) | 96 (43.836) | 125 (42.230) | 30 (40.000) | |||
Ascitic fluid, n (%) | No | 262 (70.620) | 106 (69.737) | 156 (71.233) | 0.756 | 207 (69.932) | 55 (73.333) | 0.564 |
Yes | 109 (29.380) | 46 (30.263) | 63 (28.767) | 89 (30.068) | 20 (26.667) | |||
Age, n (%), yr | < 60 | 227 (61.186) | 85 (55.921) | 142 (64.840) | 0.083 | 187 (63.176) | 40 (53.333) | 0.118 |
≥ 60 | 144 (38.814) | 67 (44.079) | 77 (35.160) | 109 (36.824) | 35 (46.667) | |||
Gender, n (%) | Male | 280 (75.472) | 118 (77.632) | 162 (73.973) | 0.421 | 221 (74.662) | 59 (78.667) | 0.472 |
Female | 91 (24.528) | 34 (22.368) | 57 (26.027) | 75 (25.338) | 16 (21.333) | |||
HBsAg, n (%) | Negative | 101 (27.224) | 41 (26.974) | 60 (27.397) | 0.928 | 76 (25.676) | 25 (33.333) | 0.183 |
Positive | 270 (72.776) | 111 (73.026) | 159 (72.603) | 220 (74.324) | 50 (66.667) | |||
HBeAg, n (%) | Negative | 289 (77.898) | 123 (80.921) | 166 (75.799) | 0.242 | 229 (77.365) | 60 (80.000) | 0.623 |
Positive | 82 (22.102) | 29 (19.079) | 53 (24.201) | 67 (22.635) | 15 (20.000) | |||
ALBI, n (%), grade | 1 | 67 (18.059) | 26 (17.105) | 41 (18.721) | 0.907 | 54 (18.243) | 13 (17.333) | 0.710 |
2 | 288 (77.628) | 119 (78.289) | 169 (77.169) | 228 (77.027) | 60 (80.000) | |||
3 | 16 (4.313) | 7 (4.605) | 9 (4.110) | 14 (4.730) | 2 (2.667) | |||
MLR, n (%) | < 0.285 | 171 (46.092) | 75 (49.342) | 96 (43.836) | 0.295 | 140 (47.297) | 31 (41.333) | 0.355 |
≥ 0.285 | 200 (53.908) | 77 (50.658) | 123 (56.164) | 156 (52.703) | 44 (58.667) | |||
GLR, n (%) | < 32.16 | 190 (51.213) | 92 (60.526) | 98 (44.749) | 0.003 | 152 (51.351) | 38 (50.667) | 0.916 |
≥ 32.16 | 181 (48.787) | 60 (39.474) | 121 (55.251) | 144 (48.649) | 37 (49.333) | |||
PLR, n (%) | < 138.18 | 300 (80.863) | 132 (86.842) | 168 (76.712) | 0.015 | 241 (81.419) | 59 (78.667) | 0.588 |
≥ 138.18 | 71 (19.137) | 20 (13.158) | 51 (23.288) | 55 (18.581) | 16 (21.333) | |||
ALP, n (%) | < 80.29 | 280 (75.472) | 121 (79.605) | 159 (72.603) | 0.123 | 222 (75.000) | 58 (77.333) | 0.675 |
≥ 80.29 | 91 (24.528) | 31 (20.395) | 60 (27.397) | 74 (25.000) | 17 (22.667) | |||
LMR, n (%) | < 5.33 | 82 (22.102) | 28 (18.421) | 54 (24.658) | 0.155 | 67 (22.635) | 15 (20.000) | 0.623 |
≥ 5.33 | 289 (77.898) | 124 (81.579) | 165 (75.342) | 229 (77.365) | 60 (80.000) | |||
FAR, n (%) | < 0.07 | 220 (59.299) | 96 (63.158) | 124 (56.621) | 0.208 | 174 (58.784) | 46 (61.333) | 0.688 |
≥ 0.07 | 151 (40.701) | 56 (36.842) | 95 (43.379) | 122 (41.216) | 29 (38.667) | |||
SII, n (%) | < 312.71 | 198 (53.369) | 93 (61.184) | 105 (47.945) | 0.012 | 157 (53.041) | 41 (54.667) | 0.801 |
≥ 312.71 | 173 (46.631) | 59 (38.816) | 114 (52.055) | 139 (46.959) | 34 (45.333) | |||
AFP, n (%), ng/mL | < 20 | 171 (46.092) | 81 (53.289) | 90 (41.096) | 0.012 | 138 (46.622) | 33 (44.000) | 0.857 |
20-400 | 86 (23.181) | 37 (24.342) | 49 (22.374) | 69 (23.311) | 17 (22.667) | |||
≥ 400 | 114 (30.728) | 34 (22.368) | 80 (36.530) | 89 (30.068) | 25 (33.333) | |||
PLT, median (IQR), 109/L | 168.000 (113.000, 209.000) | 154.000 (112.000, 200.000) | 171.000 (118.000, 216.000) | 0.110 | 165.000 (111.000, 208.000) | 178.000 (133.000, 220.000) | -1.451 | |
Blood glucose, median (IQR), mmol/L | 4.720 (4.340, 5.310) | 4.840 (4.390, 5.660) | 4.660 (4.300, 5.170) | 0.009 | 4.710 (4.350, 5.310) | 4.770 (4.300, 5.310) | -0.066 |
- Citation: Zhang YB, Yang G, Bu Y, Lei P, Zhang W, Zhang DY. Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma. World J Gastroenterol 2023; 29(43): 5804-5817
- URL: https://www.wjgnet.com/1007-9327/full/v29/i43/5804.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i43.5804