©Author(s) (or their employer(s)) 2026.
World J Radiol. Feb 28, 2026; 18(2): 116486
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116486
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116486
Table 1 Clinical features of the patients
| Clinical parameter | Training group (n = 80) | Validation group (n = 36) | P value | ||||||
| n | Response group (n = 50) | Nonresponse group (n = 30) | P value | n | Response group (n = 22) | Nonresponse group (n = 14) | P value | ||
| Sex | 0.609 | 0.956 | 0.309 | ||||||
| Male | 73 | 45 | 28 | 31 | 19 | 12 | |||
| Female | 7 | 5 | 2 | 5 | 3 | 2 | |||
| Age | 0.954 | 0.204 | 0.908 | ||||||
| ≤ 60 | 45 | 28 | 17 | 21 | 11 | 10 | |||
| > 60 | 35 | 22 | 13 | 15 | 11 | 4 | |||
| Number of tumors | 0.005 | 0.221 | 0.502 | ||||||
| ≤ 1 | 32 | 26 | 6 | 20 | 14 | 6 | |||
| > 1 | 48 | 24 | 24 | 16 | 8 | 8 | |||
| Maximum tumor diameter | 0.003 | 0.005 | 0.212 | ||||||
| ≤ 8.62 | 44 | 34 | 10 | 23 | 18 | 5 | |||
| > 8.62 | 36 | 16 | 20 | 13 | 4 | 9 | |||
| ALBI | 0.729 | 0.878 | 0.18 | ||||||
| 1 | 38 | 26 | 12 | 20 | 12 | 8 | |||
| 2 | 41 | 23 | 18 | 16 | 10 | 6 | |||
| 3 | 1 | 1 | 0 | 0 | 0 | ||||
| CTP | 0.248 | 0.927 | 0.257 | ||||||
| A | 64 | 42 | 22 | 28 | 17 | 11 | |||
| B | 16 | 8 | 8 | 8 | 5 | 3 | |||
| Liver cirrhosis | 0.383 | 0.342 | 0.074 | ||||||
| Yes | 35 | 30 | 15 | 17 | 13 | 6 | |||
| No | 45 | 20 | 15 | 19 | 9 | 8 | |||
| Portal vein tumor thrombus | 0.023 | 0.311 | 0.629 | ||||||
| Yes | 14 | 45 | 21 | 14 | 12 | 10 | |||
| No | 66 | 5 | 9 | 22 | 10 | 4 | |||
| NLR | 0.862 | 0.4 | 1 | ||||||
| ≤ 3.375 | 39 | 24 | 15 | 16 | 11 | 5 | |||
| < 3.375 | 41 | 26 | 15 | 20 | 11 | 9 | |||
| PLR | 0.602 | 0.311 | 0.4 | ||||||
| ≤ 114.385 | 37 | 22 | 15 | 22 | 12 | 10 | |||
| > 114.385 | 43 | 28 | 15 | 14 | 10 | 4 | |||
| ALT (U/L) | 0.129 | 0.592 | 0.517 | ||||||
| ≤ 50 | 46 | 32 | 14 | 25 | 16 | 9 | |||
| > 50 | 34 | 18 | 16 | 11 | 6 | 5 | |||
| ALB (g/L) | 0.729 | 0.878 | 1 | ||||||
| ≤ 40 | 42 | 27 | 15 | 20 | 12 | 8 | |||
| > 40 | 38 | 23 | 15 | 16 | 10 | 6 | |||
| AST (U/L) | 0.313 | 0.927 | 0.571 | ||||||
| ≤ 40 | 24 | 17 | 7 | 8 | 5 | 3 | |||
| > 40 | 56 | 33 | 23 | 28 | 17 | 11 | |||
| AFP (ng/mL) | 0.948 | 0.629 | 0.93 | ||||||
| < 20 | 28 | 18 | 10 | 9 | 6 | 3 | |||
| 20-400 | 25 | 15 | 10 | 10 | 7 | 3 | |||
| > 400 | 27 | 17 | 10 | 17 | 9 | 8 | |||
Table 2 Univariate and multivariate logistic regression analyses of the clinical features associated with transarterial chemoembolization treatment response
| Clinical feature | Univariate logistic regression analysis | Multivariate logistic regression analysis | ||
| P value | OR (95%CI) | P value | OR (95%CI) | |
| Sex | 0.612 | 0.643 (0.117-3.541) | ||
| Age | 0.954 | 0.973 (0.391-2.425) | ||
| Number of tumors | 0.006 | 4.333 (1.512-12.416) | 0.001 | 8.067 (2.276-28.594) |
| Maximum tumor diameter | 0.003 | 4.250 (1.621-11.144) | 0.001 | 7.637 (2.358-24.733) |
| Liver cirrhosis | 0.384 | 1.500 (0.602-3.735) | ||
| Portal vein tumor thrombus | 0.029 | 0.259 (0.077-0.869) | ||
| ALBI | 0.409 | 1.443 (0.604-3.443) | ||
| CTP | 0.252 | 1.909 (0.631-5.778) | ||
| NLR | 0.862 | 0.923 (0.373-2.283) | ||
| PLR | 0.603 | 0.786 (0.317-1.948) | ||
| ALT | 0.131 | 2.032 (0.890-5.103) | ||
| ALB | 0.729 | 1.174 (0.474-2.906) | ||
| AST | 0.316 | 1.693 (0.605-4.735) | ||
| AFP | 0.917 | 1.030 (0.596-1.777) | ||
Table 3 Radiomic features for predicting transarterial chemoembolization treatment response in hepatocellular carcinoma patients by least absolute shrinkage and selection operator regression analysis
| Cohort | Feature type | Feature name |
| FS-T2WI | Shape feature | Elongation |
| GLSZM | Low-gray level zone emphasis | |
| GLDM | Gray level variance | |
| Arterial phase | GLCM | Inverse variance |
| First-order feature | Mean | |
| Portal vein phase | First-order feature | Mean |
Table 4 Predictive performance of each model
| Cohort | Model | AUC | Sensitivity | Specificity | PPV | NPV | ACC | F1-score |
| Training | FS-T2WI | 0.771 | 0.367 | 0.880 | 0.647 | 0.698 | 0.687 | 0.468 |
| AP | 0.668 | 0.300 | 0.940 | 0.750 | 0.691 | 0.700 | 0.429 | |
| PVP | 0.725 | 0.233 | 0.940 | 0.700 | 0.671 | 0.675 | 0.350 | |
| JR | 0.845 | 0.600 | 0.940 | 0.857 | 0.797 | 0.813 | 0.706 | |
| RC | 0.929 | 0.833 | 0.920 | 0.862 | 0.902 | 0.888 | 0.847 | |
| Validation | FS-T2WI | 0.705 | 0.429 | 0.772 | 0.545 | 0.680 | 0.639 | 0.480 |
| AP | 0.666 | 0.357 | 0.864 | 0.625 | 0.679 | 0.667 | 0.455 | |
| PVP | 0.675 | 0.286 | 0.955 | 0.800 | 0.677 | 0.694 | 0.421 | |
| JR | 0.799 | 0.643 | 0.864 | 0.750 | 0.792 | 0.778 | 0.692 | |
| RC | 0.815 | 0.500 | 0.909 | 0.778 | 0.741 | 0.750 | 0.609 |
- Citation: Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486
- URL: https://www.wjgnet.com/1949-8470/full/v18/i2/116486.htm
- DOI: https://dx.doi.org/10.4329/wjr.v18.i2.116486
