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©The Author(s) 2020.
World J Gastroenterol. Apr 14, 2020; 26(14): 1647-1659
Published online Apr 14, 2020. doi: 10.3748/wjg.v26.i14.1647
Published online Apr 14, 2020. doi: 10.3748/wjg.v26.i14.1647
Table 1 Comparison of participant characteristics in the training and validation cohorts
Characteristic | Training cohort (n = 339) | Validation cohort (n = 115) | P value |
Median age (IQR), yr | 57 (49, 65) | 59 (51, 67) | 0.141 |
Gender | |||
Male | 284 (83.8) | 104 (90.4) | 0.080 |
Female | 55 (16.2) | 11 (9.6) | |
Tumor size, cm | 4.5 (3.0, 8.0) | 4.0 (2.5, 7.0) | 0.095 |
Number of tumors | |||
Single | 285 (84.1) | 89 (77.4) | 0.104 |
Multiple | 54 (15.9) | 26 (22.6) | |
Child-Pugh grade | |||
A | 315 (92.9) | 104 (90.4) | 0.388 |
B | 24 (7.1) | 11 (9.6) | |
Clinical stage | |||
I | 241 (71.1) | 80 (69.6) | 0.727 |
II | 86 (25.4) | 29 (25.2) | |
III | 12 (3.5) | 6 (5.2) | |
Etiology | |||
Hepatitis B | 253 (74.6) | 93 (80.9) | 0.175 |
Non-hepatitis B | 86 (25.4) | 22 (19.1) | |
AFP, ng/mL | |||
≤ 20 | 142 (41.9) | 46 (40.0) | 0.122 |
20–40 | 81 (23.9) | 38 (33.0) | |
≥ 400 L | 116 (34.2) | 31 (27.0) | |
WBC, 109/L | |||
≤ 4.0 | 83 (24.5) | 33 (28.7) | 0.371 |
> 4.0 | 256 (75.5) | 82 (71.3) | |
Neutrophils, 109/L | |||
≤ 3.0 | 167 (49.3) | 65 (56.5) | 0.178 |
> 3.0 | 172 (50.7) | 50 (43.5) | |
PLT, 109/L | |||
≤ 125 | 128 (37.8) | 44 (38.3) | 0.923 |
> 125 | 211 (62.2) | 71 (61.7) | |
RDW | |||
≤ 13.0 | 119 (35.1) | 54 (47.0) | 0.024 |
> 13.0 | 220 (64.9) | 61 (53.0) | |
NLR | |||
≤ 2.0 | 150 (44.2) | 60 (52.2) | 0.141 |
> 2.0 | 189 (55.8) | 55 (47.8) | |
PLR | |||
≤ 100 | 166 (49.0) | 65 (56.5) | 0.161 |
> 100 | 173 (51.0) | 50 (43.5) | |
SII | |||
≤ 300 | 173 (51.0) | 66 (57.4) | 0.238 |
> 300 | 166 (49.0) | 49 (42.6) | |
PT, sec | |||
≤ 13.0 | 250 (73.7) | 92 (80.0) | 0.179 |
> 13.0 | 89 (26.3) | 23 (20.0) | |
FIB, g/L | |||
≤ 2.0 | 90 (26.5) | 24 (20.9) | 0.225 |
> 2.0 | 249 (73.5) | 91 (79.1) | |
ALB, g/L | |||
≤ 40 | 192 (56.6) | 50 (43.5) | 0.015 |
> 40 | 147 (43.4) | 65 (56.5) | |
ALT, U/L | |||
≤ 40 | 204 (60.2) | 77 (67.0) | 0.196 |
> 40 | 135 (39.8) | 38 (33.0) | |
AST, U/L | |||
≤ 35 | 160 (47.2) | 62 (53.9) | 0.213 |
> 35 | 179 (52.8) | 53 (46.1) | |
GGT, U/L | |||
≤ 45 | 120 (35.4) | 38 (33.0) | 0.647 |
> 45 | 219 (64.6) | 77 (67.0) | |
TB, μmol/L | |||
≤ 19 | 257 (75.8) | 85 (73.9) | 0.683 |
> 19 | 82 (24.2) | 30 (26.1) | |
ALP, g/L | |||
≤ 120 | 210 (61.9) | 71 (61.7) | 0.968 |
> 120 | 129 (38.1) | 44 (38.3) | |
GLU, mmol/L | |||
≤ 6.1 | 278 (82.0) | 97 (84.3) | 0.567 |
> 6.1 | 61 (18.0) | 18 (15.7) | |
ALBI grade | |||
1 | 164 (48.4) | 71 (61.7) | 0.017 |
2 | 171 (50.4) | 41 (35.7) | |
3 | 4 (1.2) | 3 (2.6) | |
MVI | |||
Absent | 182 (53.7) | 63 (54.8) | 0.839 |
Present | 157 (46.3) | 52 (45.2) | |
Edmondson-Steiner classification | |||
I–II | 142 (41.9) | 43 (37.4) | 0.396 |
III–IV | 197 (58.1) | 72 (62.6) |
Table 2 Univariate logistic regression analysis of preoperative data for microvascular invasion presence in the training cohort
Variable | OR (95%CI) | P value |
Age, yr | 0.981 (0.962–1.001) | 0.062 |
Gender, male vs female | 1.488 (0.823–2.689) | 0.188 |
Number of tumors, multiple vs single | 5.174 (2.611–10.252) | < 0.001 |
Tumor size, cm | 1.214 (1.155–1.332) | < 0.001 |
Etiology, non-hepatitis B vs hepatitis | 0.837 (0.511–1.370) | 0.479 |
AFP, ng/mL | ||
20–40 vs ≤ 20 | 1.936 (1.100–3.407) | 0.022 |
≥ 400 vs ≤ 20 | 4.546 (2.687–7.691) | < 0.001 |
WBC, 109/L, > 4.0 vs ≤ 4.0 | 1.117 (0.711–1.927) | 0.537 |
Neutrophils, 109/L, >3.0 vs ≤ 3.0 | 1.989 (1.289–3.069) | 0.002 |
PLT, 109/L, > 125 vs ≤ 125 | 1.375 (0.883–2.143) | 0.159 |
RDW, > 13.0 vs ≤ 13.0 | 1.116 (0.713–1.748) | 0.630 |
NLR, > 2.0 vs ≤ 2.0 | 1.927 (1.244–2.983) | 0.003 |
PLR, > 100 vs ≤ 100 | 1.945 (1.261–3.000) | 0.003 |
SII, > 300 vs ≤ 300 | 2.170 (1.404–3.352) | < 0.001 |
PT, sec, > 13 vs ≤ 13 | 1.514 (0.931–2.462) | 0.094 |
ALB, g/L, > 40 vs ≤ 40 | 0.949 (0.617–1.460) | 0.812 |
ALT, U/L, > 40 vs ≤ 40 | 0.882 (0.570–1.366) | 0.575 |
AST, U/L, > 35 vs ≤ 35 | 1.275 (0.831–1.958) | 0.266 |
GGT, U/L, > 45 vs ≤ 45 | 1.486 (0.947–2.334) | 0.085 |
TB, μmol/L, > 19 vs ≤ 19 | 1.297 (0.788–2.133) | 0.307 |
ALP, U/L, > 120 vs ≤ 120 | 1.677 (1.078–2.610) | 0.022 |
FIB, g/L, > 2.0 vs ≤ 2.0 | 1.397 (0.852–2.290) | 0.185 |
GLU, mmol/L, > 6.1 vs ≤ 6.1 | 0.904 (0.518–1.579) | 0.723 |
ALBI grade, 1 vs 2 and 3 | 1.266 (0.825–1.942) | 0.281 |
Table 3 Multivariate logistic regression analysis of preoperative data for microvascular invasion presence in the training cohort
Variable | β | OR (95%CI) | P value |
Number of tumors, multiple vs single | 1.491 | 4.441 (2.112–9.341) | < 0.001 |
Tumor size, cm | 0.178 | 1.195 (1.107–1.290) | < 0.001 |
Neutrophils, 109/L, > 3.0 vs ≤ 3.0 | 0.539 | 1.714 (1.036–2.836) | 0.036 |
AFP, ng/mL | |||
20–400 vs ≤ 20 | 0.670 | 1.955 (1.055–3.624) | 0.033 |
≥ 400 vs ≤ 20 | 1.246 | 3.476 (1.950–6.195) | < 0.001 |
Table 4 Accuracy of the nomogram in predicting the risk of microvascular invasion at the optimal threshold value
Variable | Value (95%CI) | |
Training cohort | Validation cohort | |
Sensitivity, % | 77.7 (71.1–84.3) | 69.2 (56.3–82.2) |
Specificity, % | 70.9 (64.2–77.5) | 68.3 (56.4–80.1) |
Positive predictive value, % | 69.7 (62.8–76.6) | 64.3 (51.3–77.2) |
Negative predictive value, % | 78.7 (72.3–85.0) | 72.9 (61.2–84.6) |
Positive likelihood ratio | 2.67 (2.10–3.40) | 2.18 (1.45–3.27) |
Negative likelihood ratio | 0.31 (0.23–0.42) | 0.45 (0.30–0.69) |
Concordance index | 0.79 (0.74–0.84) | 0.81 (0.74–0.89) |
Predicted probability1 | 0.40 | 0.40 |
- Citation: Wang L, Jin YX, Ji YZ, Mu Y, Zhang SC, Pan SY. Development and validation of a prediction model for microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2020; 26(14): 1647-1659
- URL: https://www.wjgnet.com/1007-9327/full/v26/i14/1647.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i14.1647