分子影像学杂志2026，Vol.49Issue(8)：1044-1050,7.DOI:10.12122/j.issn.1674-4500.2026.08.09
肝细胞癌经导管动脉化疗栓塞术治疗反应的预测:基于多期增强CT影像组学联合深度学习
Prediction of transarterial chemoembolization treatment response in hepatocellular carcinoma:multiphasic enhanced CT-derived radiomics combined with deep learning
摘要
Abstract
Objective To construct and validate six prediction models based on preoperative enhanced CT images in the arterial and portal venous phases,compare their predictive performance,and identify the optimal model for evaluating treatment response to transarterial chemoembolization(TACE)in patients with hepatocellular carcinoma(HCC).Methods A total of 175 HCC patients who underwent TACE were included.Among them,113 patients from the public WAW-TACE dataset were assigned as the training set,while 62 patients retrospectively collected at the Affiliated Hospital of Qiqihar Medical University from July 2020 to October 2025 served as the external validation set.Regions of interest(ROIs)were manually delineated on arterial phase and portal venous phase images using 3D Slicer software,from which radiomics and deep learning features were subsequently extracted.After feature selection was performed using univariate analysis,correlation analysis,and the least absolute shrinkage and selection operator(LASSO),prediction models were constructed using the support vector machine(SVM)algorithm.Model performance was evaluated using the area under the receiver operating characteristic curve(AUC),accuracy,sensitivity,and specificity,and was validated in the external validation set.Results Feature extraction was performed separately on arterial and portal phase images,yielding 1,130 radiomics features and 512 deep learning features from each phase.After feature selection and dimensionality reduction,the arterial phase combined model performed the best comprehensively,with an AUC of 0.851(95%CI:0.778-0.924)in the training set and 0.808(95%CI:0.700-0.917)in the external validation set,and provided superior clinical net benefit compared with the single model and the portal venous phase combined model.Conclusion The combined model constructed based on the arterial phase can predict treatment response after TACE in patients with HCC to a certain extent,providing auxiliary reference for clinical treatment decision-making and prognostic assessment.关键词
肝细胞癌/计算机断层扫描/治疗反应/经动脉化疗栓塞术Key words
hepatocellular carcinoma/computed tomography/treatment response/transarterial chemoembolization引用本文复制引用
牛童童,孙新圩,杨盼,穆伟斌..肝细胞癌经导管动脉化疗栓塞术治疗反应的预测:基于多期增强CT影像组学联合深度学习[J].分子影像学杂志,2026,49(8):1044-1050,7.基金项目
黑龙江省高等教育教学改革研究项目(SJGZB2024219) （SJGZB2024219）
齐齐哈尔市科技计划联合引导项目(LSFGG-2026116) （LSFGG-2026116）
齐齐哈尔医学科学院自选科研基金项目(QMSI2024Z-20) （QMSI2024Z-20）
