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. 2024 Sep 25;14(9):4580–4596. doi: 10.62347/BEAO1926

Table 3.

ML-based prognostic model characteristics of HCC patients after TARE

Author ML Algorithms Prediction Target Key Predictive Factors Main Results/Performance Metrics Model Validation & Interpretability Other Important Findings
Roll 2024 [43] Multivariate LR Treatment Response and Survival Outcome Energy, Maximal Correlation Coefficient AUC: 0.75 Feature selection with Boruta algorithm Radiomic analysis can quantify tumor heterogeneity, including blood supply, cellular vitality, density, and fibrosis
Ince 2023 [44] SVM, LR, RF, LightGBM Treatment Response 8 Radiomic features, 4 Clinical features AUC: 0.88-0.94 5-fold cross-validation Age and preoperative total bilirubin level significantly correlate with TARE treatment response
Kobe 2021 [45] Multilayer Perceptron, ANN Disease Control (PR/SD) and PD 104 Texture Analysis Features from CBCT, 15 features after selection AUC: 0.85, Sensitivity 94.2%, Specificity 67.7% 10-fold cross-validation NA
Marinelli 2023 [46] XGBoost Treatment Response at 4-6 Months Post-Treatment Radiomic features from baseline and early post-treatment (1-2 months) MRI images AUC: 0.89 NA Combined baseline and early follow-up MRI radiomic data better predict patient treatment response
Balli 2024 [47] LASSO, LR Radiological Response at 6 Months Post-Treatment Rad-score, Bifurcation Lesions AUC: 0.696-0.880 DeLong test, NRI, IDI First study to use MRI radiomics to predict TARE treatment response in ICC patients
Aujay 2022 [48] LR Treatment Response Longitudinal Emphasis, Minor Axis Length, Surface Area, and Gray Level Non-uniformity AUC: 1 Cross-validation Heterogeneity parameters in arterial and portal venous phase images before and after treatment not significantly different between responders and non-responders

LightGBM: A gradient boosting framework that uses tree-based learning; ANN: Artificial Neural Network; PR: Partial Response; SD: Stable Disease; PD: Progressive Disease; CBCT: Cone Beam Computed Tomography; ICC: Intrahepatic Cholangiocarcinoma; TARE: Transarterial Radioembolization; NRI: Net Reclassification Improvement; IDI: Integrated Discrimination Improvement.