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©The Author(s) 2022.
World J Gastroenterol. Aug 21, 2022; 28(31): 4399-4416
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4399
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4399
Table 1 Demographics, alpha fetal protein, bilirubin, tumor characteristics, and microvascular infiltration of the patients with small hepatocellular carcinoma in data sets of three hospitals
Characteristics | Hospital A (n = 221) | Hospital B (n = 94) | Hospital C (n = 100) |
Age (yr) | mean ± SD: 51.2 ± 10.9 (range 29-78) | mean ± SD: 53.04 ± 10.59 (range 28-77) | mean ± SD: 54.01 ± 10.82 (range 28-85) |
Male/female | 189 (85.5%)/32 (14.5%) | 84 (89.4%)/10 (10.6%) | 85 (85.5%)/15 (15.0%) |
Causes of liver disease | |||
Hepatitis B | 162 (73.3%) | 71 (75.6%) | 82 (82.0%) |
Hepatitis C | 21 (9.5%) | 10 (10.6%) | 6 (6.0%) |
Alcoholic hepatitis | 29 (13.1%) | 8 (8.5%) | 2 (2.0%) |
Others | 9 (4.1%) | 5 (5.3%) | 10 (10.0%) |
Cirrhosis | |||
Present | 173 (78.3%) | 69 (73.4%) | 70 (70%) |
Absent | 48 (21.7%) | 25 (26.6%) | 30 (30%) |
AFP (ng/mL) | Median: 26.10 (range 0.98-25451.00) | Median: 9.34 (range 1.09-6740.42) | Median: 31.070 (range 0.713- 4587.000) |
TBiL (μmol/L) | Median: 12.5 (range 2.9-64.6) | Median: 17.4 (range 3.6-446.9) | Median: 13.2 (range 4.4-47.2) |
DBiL (μmol/L) | Median: 3.9 (range 1.0-17.0) | Median: 4.5 (range 1.0-218.9) | Median: 5.50 (range 1.50-26.84) |
MELD scores | mean ± SD: 13.9 ± 4.8 (range 7.0-26.9) | mean ± SD: 13.8 ± 5.8 (range 6.0-35.5) | mean ± SD: 11.8 ± 4.5 (range 5.2-25.6) |
Child-Pugh classes | |||
A | 205 (93.2%) | 81 (86.2%) | 86 (86.0%) |
B | 13 (5.9%) | 12 (12.8%) | 13 (13.0%) |
C | 2 (0.9%) | 1 (1.1%) | 1 (1.0%) |
Edmondson-steiner grade | |||
Grade I | 32 (14.5%) | 12 (12.8%) | 8 (8.0%) |
Grade II | 142 (64.3%) | 68 (72.3%) | 71 (71.0%) |
Grade III | 47 (21.2%) | 14 (14.9%) | 21 (21.0%) |
Tumor size (cm) | mean ± SD: 2.04 ± 0.67 (range 0.60-3.00) | mean ± SD: 2.17 ± 0.42 (range 0.80-3.00) | mean ± SD: 2.20 ± 0.41 (range 0.90-3.00) |
MVI | |||
Positive | 64 (28.9%) | 22 (23.4%) | 16 (16.0%) |
Negative | 157 (71.1%) | 72 (76.6%) | 84 (84.0%) |
Table 2 Age, gender, alpha-fetoprotein and radiologic features of patients with small hepatocellular carcinoma and relationship with microvascular infiltration
Hospital A (n = 221) | Hospital B (n = 94) | Hospital C (n = 100) | |||||||
Positive | Negative | P value | Positive | Negative | P value | Positive | Negative | P value | |
Age (yr) | 50.9 ± 10.7 | 51.3 ± 10.9 | 0.840 | 51.7 ± 12.3 | 53.1 ± 10.1 | 0.597 | 53.5 ± 9.1 | 53.7 ± 11.0 | 0.958 |
Gender | 0.593 | 0.443 | 0.259 | ||||||
Female | 8 | 24 | 1 | 9 | 1 | 14 | |||
Male | 56 | 133 | 21 | 63 | 15 | 70 | |||
AFP (ng/mL) | 33.91 (range 1.40-25451.00) | 22.52 (range 1-18929) | 0.026 | 38.97 (range 1.90-6740.40) | 5.43 (range 1.10-2018.79) | 0.010 | 109.72 (range 0.80-2278.00) | 24.41 (range 0.71-4587.00) | 0.032 |
Size (cm) | 2.34 ± 0.56 | 1.92 ± 0.67 | 0.036 | 2.43 ± 0.57 | 2.11 ± 0.66 | 0.047 | 2.47 ± 0.43 | 2.21 ± 0.64 | 0.054 |
Nonsmooth tumor margin | 0.019 | 0.003 | 0.004 | ||||||
Absent | 37 | 116 | 13 | 64 | 6 | 62 | |||
Present | 27 | 41 | 9 | 8 | 10 | 22 | |||
Capsule | 0.020 | 0.062 | 0.756 | ||||||
Absent | 39 | 120 | 21 | 55 | 10 | 49 | |||
Present | 25 | 37 | 25 | 17 | 6 | 35 | |||
Peritumoral hypointensity | 0.002 | 0.304 | 0.007 | ||||||
Absent | 47 | 141 | 17 | 63 | 70 | 8 | |||
Present | 17 | 16 | 5 | 9 | 14 | 8 |
Table 3 Diagnostic performance of alpha-fetoprotein and radiologic features for assessing microvascular infiltration of small hepatocellular carcinoma by receiver operating characteristic curve analysis
AFP | Tumor size | Nonsmooth tumor margin | Incomplete capsule | Peritumoral hypointensity | |
Hospital A | |||||
AUC | 0.597 | 0.675 | 0.580 | 0.577 | 0.582 |
95%CI | 0.528-0.662 | 0.609-0.736 | 0.512-0.646 | 0.509-0.643 | 0.514-0.648 |
P value | 0.024 | < 0.001 | 0.024 | 0.027 | 0.007 |
Sensitivity | 34.92 | 70.31 | 42.19 | 39.06 | 26.56 |
Specificity | 81.82 | 61.15 | 73.89 | 76.43 | 89.81 |
Hospital B | |||||
AUC | 0.683 | 0.639 | 0.649 | 0.595 | 0.551 |
95%CI | 0.577-0.777 | 0.553-0.735 | 0.544-0.745 | 0.489-0.695 | 0.445-0.654 |
P value | 0.006 | 0.035 | 0.008 | 0.005 | 0.304 |
Sensitivity | 63.64 | 81.82 | 71.43 | 95.45 | 22.73 |
Specificity | 72.06 | 44.44 | 88.89 | 23.61 | 87.50 |
Hospital C | |||||
AUC | 0.669 | 0.576 | 0.682 | 0.521 | 0.667 |
95%CI | 0.568-0.760 | 0.473-0.675 | 0.581-0.771 | 0.419-0.622 | 0.565-0.758 |
P value | 0.016 | 0.213 | 0.007 | 0.759 | 0.014 |
Sensitivity | 87.50 | 68.75 | 62.50 | 62.50 | 50.00 |
Specificity | 52.38 | 54.76 | 73.81 | 41.67 | 83.33 |
Table 4 Receiver operator characteristic curve analysis of radiomics scores with different sequences of magnetic resonance imaging for predict microvascular infiltration of small hepatocellular carcinoma
T1WI | T2WI | DWI | AP | PVP | HBP | |
Training set | ||||||
AUC | 0.740 | 0.878 | 0.991 | 0.763 | 0.739 | 0.976 |
95%CI | 0.661-0.808 | 0.814-0.926 | 0.958-0.999 | 0.695-0.823 | 0.661-0.807 | 0.940-0.991 |
P value | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 |
Sensitivity | 77.08 | 82.98 | 95.74 | 71.43 | 56.25 | 89.83 |
Specificity | 68.00 | 82.00 | 96.04 | 79.37 | 78.22 | 99.27 |
Testing set | ||||||
AUC | 0.776 | 0.813 | 0.971 | 0.788 | 0.790 | 0.979 |
95%CI | 0.611-0.895 | 0.651-0.922 | 0.858-0.999 | 0.642-0.894 | 0.630-0.904 | 0.911-1.000 |
P value | 0.0004 | < 0.001 | < 0.001 | 0.0014 | 0.0001 | < 0.001 |
Sensitivity | 91.67 | 58.33 | 100.00 | 64.29 | 84.62 | 100.00 |
Specificity | 57.69 | 92.00 | 84.62 | 93.75 | 73.08 | 91.43 |
Validation Hospital B | ||||||
AUC | 0.834 | 0.825 | 0.816 | 0.810 | 0.847 | 0.970 |
95%CI | 0.742-0.904 | 0.732-0.896 | 0.678-0.876 | 0.715-0.884 | 0.758-0.913 | 0.912-0.994 |
P value | < 0.001 | < 0.001 | 0.0002 | < 0.001 | < 0.001 | < 0.001 |
Sensitivity | 63.64 | 95.45 | 71.43 | 57.14 | 54.55 | 95.45 |
Specificity | 94.29 | 57.75 | 88.89 | 88.89 | 98.61 | 98.57 |
Validation Hospital C | ||||||
AUC | 0.766 | 0.761 | 0.801 | 0.824 | 0.833 | 0.803 |
95%CI | 0.672-0.844 | 0.669-0.839 | 0.710-0.871 | 0.737-0.892 | 0.748-0.898 | 0.680-0.834 |
P value | 0.0001 | 0.0003 | < 0.001 | < 0.001 | < 0.001 | 0.007 |
Sensitivity | 80.00 | 60.00 | 90.00 | 86.67 | 85.71 | 83.33 |
Specificity | 70.45 | 89.01 | 68.89 | 68.54 | 72.83 | 77.67 |
Table 5 Predictive performance of the nomogram prediction model for estimating the risk of microvascular infiltration presence in patients with small hepatocellular carcinoma
Training set | Testing set | Validation Hospital B | Validation Hospital C | |
T1WI | ||||
C-index | 0.771 | 0.846 | 0.895 | 0.830 |
95%CI | 0.695-0.836 | 0.594-0.883 | 0.775-0.925 | 0.667-0.850 |
P value | < 0.001 | 0.0014 | < 0.001 | 0.0001 |
T2WI | ||||
C-index | 0.895 | 0.917 | 0.886 | 0.808 |
95%CI | 0.834-0.940 | 0.640-0.915 | 0.746-0.906 | 0.654-0.867 |
P value | < 0.001 | 0.0001 | < 0.001 | 0.0015 |
DWI | ||||
C-index | 0.990 | 0.970 | 0.843 | 0.869 |
95%CI | 0.957-0.999 | 0.843-0.997 | 0.685-0.881 | 0.694-0.899 |
P value | < 0.001 | < 0.001 | 0.0001 | < 0.001 |
AP | ||||
C-index | 0.774 | 0.794 | 0.886 | 0.874 |
95%CI | 0.706-0.833 | 0.615-0.876 | 0.695-0.899 | 0.674-0.884 |
P value | < 0.001 | 0.0025 | < 0.001 | < 0.001 |
PVP | ||||
C-index | 0.746 | 0.831 | 0.918 | 0.870 |
95%CI | 0.668-0.814 | 0.650-0.916 | 0.791-0.934 | 0.732-0.887 |
P value | < 0.001 | < 0.001 | < 0.001 | < 0.001 |
HBP | ||||
C-index | 0.990 | 0.971 | 0.912 | 0.808 |
95%CI | 0.944-0.993 | 0.892-0.999 | 0.918-0.996 | 0.635-0.892 |
P value | < 0.001 | < 0.001 | < 0.001 | 0.0081 |
- Citation: Chen YD, Zhang L, Zhou ZP, Lin B, Jiang ZJ, Tang C, Dang YW, Xia YW, Song B, Long LL. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4399-4416
- URL: https://www.wjgnet.com/1007-9327/full/v28/i31/4399.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i31.4399