Observational Study
Copyright ©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
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/female189 (85.5%)/32 (14.5%)84 (89.4%)/10 (10.6%)85 (85.5%)/15 (15.0%)
Causes of liver disease
Hepatitis B162 (73.3%)71 (75.6%)82 (82.0%)
Hepatitis C21 (9.5%)10 (10.6%)6 (6.0%)
Alcoholic hepatitis29 (13.1%)8 (8.5%)2 (2.0%)
Others9 (4.1%)5 (5.3%)10 (10.0%)
Cirrhosis
Present173 (78.3%)69 (73.4%)70 (70%)
Absent48 (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 scoresmean ± 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
A205 (93.2%)81 (86.2%)86 (86.0%)
B13 (5.9%)12 (12.8%)13 (13.0%)
C2 (0.9%)1 (1.1%)1 (1.0%)
Edmondson-steiner grade
Grade I32 (14.5%)12 (12.8%)8 (8.0%)
Grade II142 (64.3%)68 (72.3%)71 (71.0%)
Grade III47 (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
Positive64 (28.9%)22 (23.4%)16 (16.0%)
Negative157 (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 ± 10.751.3 ± 10.90.84051.7 ± 12.353.1 ± 10.10.59753.5 ± 9.153.7 ± 11.00.958
Gender0.5930.4430.259
Female82419114
Male5613321631570
AFP (ng/mL)33.91 (range 1.40-25451.00)22.52 (range 1-18929)0.02638.97 (range 1.90-6740.40)5.43 (range 1.10-2018.79)0.010109.72 (range 0.80-2278.00)24.41 (range 0.71-4587.00)0.032
Size (cm)2.34 ± 0.561.92 ± 0.670.0362.43 ± 0.572.11 ± 0.660.0472.47 ± 0.432.21 ± 0.640.054
Nonsmooth tumor margin0.0190.0030.004
Absent371161364662
Present2741981022
Capsule0.0200.0620.756
Absent3912021551049
Present25372517635
Peritumoral hypointensity0.0020.3040.007
Absent471411763708
Present171659148
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
AUC0.5970.6750.5800.5770.582
95%CI0.528-0.6620.609-0.7360.512-0.6460.509-0.6430.514-0.648
P value0.024< 0.0010.0240.0270.007
Sensitivity34.9270.3142.1939.0626.56
Specificity81.8261.1573.8976.4389.81
Hospital B
AUC0.6830.6390.6490.5950.551
95%CI0.577-0.7770.553-0.7350.544-0.7450.489-0.6950.445-0.654
P value0.0060.0350.0080.0050.304
Sensitivity63.6481.8271.4395.4522.73
Specificity72.0644.4488.8923.6187.50
Hospital C
AUC0.6690.5760.6820.5210.667
95%CI0.568-0.7600.473-0.6750.581-0.7710.419-0.6220.565-0.758
P value0.0160.2130.0070.7590.014
Sensitivity87.5068.7562.5062.5050.00
Specificity52.3854.7673.8141.6783.33
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
AUC0.7400.8780.9910.7630.7390.976
95%CI0.661-0.8080.814-0.9260.958-0.9990.695-0.8230.661-0.8070.940-0.991
P value< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001
Sensitivity77.0882.9895.7471.4356.25 89.83
Specificity68.0082.0096.0479.3778.2299.27
Testing set
AUC0.7760.8130.9710.7880.7900.979
95%CI0.611-0.8950.651-0.9220.858-0.9990.642-0.8940.630-0.9040.911-1.000
P value0.0004< 0.001< 0.0010.00140.0001< 0.001
Sensitivity91.6758.33100.0064.2984.62100.00
Specificity57.6992.0084.6293.7573.0891.43
Validation Hospital B
AUC0.8340.8250.8160.8100.8470.970
95%CI0.742-0.9040.732-0.8960.678-0.8760.715-0.8840.758-0.9130.912-0.994
P value< 0.001< 0.0010.0002< 0.001< 0.001< 0.001
Sensitivity63.6495.4571.4357.1454.5595.45
Specificity94.2957.7588.8988.8998.6198.57
Validation Hospital C
AUC0.7660.7610.8010.8240.8330.803
95%CI0.672-0.8440.669-0.8390.710-0.8710.737-0.8920.748-0.8980.680-0.834
P value0.00010.0003< 0.001< 0.001< 0.0010.007
Sensitivity80.0060.0090.0086.6785.7183.33
Specificity70.4589.0168.8968.5472.8377.67
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-index0.7710.8460.8950.830
95%CI0.695-0.8360.594-0.8830.775-0.9250.667-0.850
P value< 0.0010.0014< 0.0010.0001
T2WI
C-index0.8950.9170.8860.808
95%CI0.834-0.9400.640-0.9150.746-0.9060.654-0.867
P value< 0.0010.0001< 0.0010.0015
DWI
C-index0.9900.9700.8430.869
95%CI0.957-0.9990.843-0.9970.685-0.8810.694-0.899
P value< 0.001< 0.0010.0001< 0.001
AP
C-index0.7740.7940.8860.874
95%CI0.706-0.8330.615-0.8760.695-0.8990.674-0.884
P value< 0.0010.0025< 0.001< 0.001
PVP
C-index0.7460.8310.9180.870
95%CI0.668-0.8140.650-0.9160.791-0.9340.732-0.887
P value< 0.001< 0.001< 0.001< 0.001
HBP
C-index0.9900.9710.9120.808
95%CI0.944-0.9930.892-0.9990.918-0.9960.635-0.892
P value< 0.001< 0.001< 0.0010.0081