BPG is committed to discovery and dissemination of knowledge
Retrospective Study
Copyright ©The Author(s) 2025.
World J Radiol. Dec 28, 2025; 17(12): 112911
Published online Dec 28, 2025. doi: 10.4329/wjr.v17.i12.112911
Table 1 Magnetic resonance imaging scan sequences and parameters
Sequence
Layer thickness (mm)
Field (mm2)
TR/TE (ms)
Flip angle (°)
Matrix size (mm2)
RTr Ax fs T26320 × 320 - 380 × 3802609/97110384 × 384
BH Ax LAVA +C5320 × 320 - 360 × 3604/212224 × 192
Table 2 Comparison of the clinical characteristics between the training and validation groups, n (%)
Clinical features
Training group (n = 87)
Validation group (n = 38)
P value
Nonpoorly differentiated HCC (n = 73)
Poorly differentiated HCC (n = 14)
Nonpoorly differentiated HCC (n = 32)
Poorly differentiated HCC (n = 6)
Age (years)55.00 (48.00, 65.00)52.50 (44.50, 64.00)53.50 (47.75, 63.25)58.00 (37.00, 64.75)0.621
NLR2.56 (2.07, 3.33)3.09 (2.50, 3.75)2.86 (1.85, 5.66)4.67 (2.88, 6.95)0.185
PLR94.83 (70.66, 134.21)129.27 (120.54, 177.77)128.36 (75.52, 194.57)155.89 (140.21, 222.43)0.063
LMR3.98 (2.97, 4.58)3.03 (2.43, 3.58)3.53 (1.98, 4.44)1.94 (1.41, 2.68)0.041
Maximum tumor diameter (cm)4.60 (3.10, 6.10)8.30 (6.30, 10.57)5.65 (4.52, 7.73)9.20 (6.10, 10.43)0.052
AST (U/L)40.00 (30.00, 68.00)42.50 (29.50, 66.50)44.00 (38.00, 64.25)81.50 (65.25, 86.50)0.102
ALT (U/L)32.00 (21.00, 59.00)45.00 (24.75, 58.25)34.50 (23.75, 49.50)57.00 (26.00, 74.50)0.906
GGT (U/L)62.00 (30.00, 112.00)81.50 (25.75, 254.75)87.00 (43.80, 150.75)363.00 (131.00, 600.25)0.058
NEU (109/L)3.49 (2.78, 4.33)5.29 (3.34, 7.73)4.02 (2.43, 6.06)4.87 (4.38, 5.61)0.399
LYMPH (109/L)1.34 (1.05, 1.72)1.34 (1.10, 2.08)1.27 (0.88, 1.49)1.25 (0.91, 1.50)0.125
PLT (109/L)136.00 (100.00, 180.00)193.50 (137.75, 224.50)156.50 (109.25, 203.00)198.00 (190.50, 203.25)0.251
MONO (109/L)0.39 (0.30, 0.46)0.42 (0.38, 0.72)0.40 (0.31, 0.48)0.69 (0.59, 0.80)0.263
A/G ratio1.29 (1.13, 1.53)1.18 (0.96, 1.41)1.31 (1.21, 1.44)1.08 (1.01, 1.10)0.646
Sex0.214
Female6 (8.22)3 (21.43)6 (18.75)1 (16.67)
Male67 (91.78)11 (78.57)26 (81.25)5 (83.33)
Portal vein tumor thrombus0.400
No63 (86.30)9 (64.29)27 (84.38)2 (33.33)
Yes10 (13.70)5 (35.71)5 (15.62)4 (66.67)
Lymph node metastasis0.674
No63 (86.30)10 (71.43)31 (96.88)2 (33.33)
Yes10 (13.70)4 (28.57)1 (3.12)4 (66.67)
Liver cirrhosis0.385
No14 (19.18)7 (50.00)11 (34.38)1 (16.67)
Yes59 (80.82)7 (50.00)21 (65.62)5 (83.33)
HBV0.336
No8 (10.96)7 (50.00)2 (6.25)2 (33.33)
Yes65 (89.04)7 (50.00)30 (93.75)4 (66.67)
AFP (ng/mL)0.276
< 40048 (65.75)9 (64.29)18 (56.25)3 (50.00)
≥ 40025 (34.25)5 (35.71)14 (43.75)3 (50.00)
ALBI grade0.642
138 (52.05)5 (35.71)14 (43.75)4 (66.67)
215 (20.55)6 (42.86)10 (31.25)2 (33.33)
320 (27.40)3 (21.43)8 (25.00)0 (0.00)
Table 3 Screened optimal radiomic features
MRI sequence
Feature type
Feature name
FS-T2WIwavelet-HLL_first orderKurtosis
wavelet-HLL_glcmIdn
wavelet-HLL_gldmLarge dependence high gray level emphasis
APOriginal_shapeSphericity
Original_glcmCluster prominence
Original_glszmLarge area high gray level emphasis
wavelet-LLL_glcmCluster prominence
PVPOriginal_shapeSphericity
log-sigma-2-5-mm-3D_ gldmSmall dependence high gray level emphasis
wavelet-HHL_glszmLarge area emphasis
wavelet-HHL_glszmSmall area emphasis
wavelet-LLL_glcmCluster prominence
Table 4 Results of univariate and multivariate logistic regression analyses
Clinical factors
Univariate logistic regression analysis
Multivariate logistic regression analysis
OR (95%CI)
P value
OR (95%CI)
P value
Age (years)0.980 (0.934-1.028)0.406--
Sex0.328 (0.071-1.510)0.152--
NLR1.009 (0.935-1.088)0.826--
PLR1.005 (0.997-1.012)0.209--
LMR0.675 (0.439-1.039)0.074--
Maximum tumor diameter (cm)1.232 (1.051-1.444)0.01011.364 (1.065-1.746)0.0141
Portal vein tumor thrombus3.500 (0.972-12.597)0.055--
Lymph node metastasis2.520 (0.661-9.603)0.176--
HBV0.106 (0.029-0.391)< 0.00110.120 (0.020-0.729)0.0211
Liver cirrhosis0.237 (0.072-0.787)0.01910.326 (0.053-2.020)0.228
AFP (ng/mL)1.067 (0.323-3.525)0.916--
PLT (109/L)1.007 (1.001-1.014)0.03510.994 (0.984-1.005)0.296
LYMPH (109/L)1.364 (0.614-3.030)0.446--
NEU (109/L)1.140 (0.981-1.325)0.088--
MONO (109/L)2.312 (1.324-4.035)0.00312.488 (1.175-5.271)0.0171
AST (U/L)1.004 (0.998-1.010)0.181--
ALT (U/L)1.004 (0.999-1.008)0.150--
GGT (U/L)1.002 (0.999-1.005)0.211--
A/G ratio0.198 (0.022-1.779)0.148--
ALBI grade-0.219--
ALBI grade 10.877 (0.19-4.052)0.867--
ALBI grade 22.667 (0.572-12.428)0.212--
Table 5 Predictive performance of each model
Group
Model
AUC value (95%CI)
Accuracy
Sensitivity
Specificity
Positive predictive value
Negative predictive value
Training groupFS-T2WI0.761 (0.562-0.857)0.8620.2140.9860.7500.867
AP0.870 (0.714-0.918)0.8970.5000.9730.7780.910
PVP0.868 (0.714-0.959)0.9080.5000.9860.8750.911
Radiomics0.917 (0.857-0.959)0.9430.7140.9860.9090.947
Clinical0.869 (0.643-0.973)0.8850.4290.9730.7500.899
Combined0.941 (0.857-0.945)0.9420.7140.9860.9090.947
Validation groupFS-T2WI0.724 (0.625-0.833)0.8160.3330.9060.4000.879
AP0.802 (0.686-1.000)0.7630.3330.8440.2860.871
PVP0.797 (0.688-1.000)0.7630.1670.8750.2000.848
Radiomics0.901 (0.833-0.906)0.8950.6670.9380.6670.938
Clinical0.865 (0.594-1.000)0.8950.5000.9690.7500.912
Combined0.932 (0.812-1.000)0.8950.6670.9380.6670.938