国际医学放射学杂志2025，Vol.48Issue(4)：384-390,7.DOI:10.19300/j.2025.L22071
超声影像组学模型预测肝细胞癌CK19蛋白表达水平的价值
Value of an ultrasound radiomics model in predicting CK19 protein expression in hepatocellular carcinoma
摘要
Abstract
Objective To explore the value of an ultrasound radiomics model in preoperatively predicting CK19 protein expression in patients with hepatocellular carcinoma(HCC).Methods A total of 156 patients with pathologically confirmed HCC who had undergone CK19 immunohistochemical staining were retrospectively enrolled.Patients were randomly divided into a training set(n=110)and a validation set(n=46)in a 7∶3 ratio.Clinical data between the two groups were compared using the Chi-square test.A total of 5,936 radiomic features were extracted from grayscale ultrasound images.After Z-score normalization,feature selection and dimensionality reduction were performed in the training set using hypothesis testing,least absolute shrinkage and selection operator(LASSO)regression,and correlation analysis.A multivariate logistic regression model was then constructed.The model's predictive performance for CK19-positivecases was evaluated using the area under the receiver operating characteristic curve(AUC),sensitivity,specificity,and accuracy.Clinical net benefit was assessed using decision curve analysis.Results There were no statistically significant differences in general clinical characteristics between the training and validation sets(all P＞0.05).A total of 13 radiomic features were selected to construct the radiomics model.The model demonstrated good predictiveperformance in both the training and validation sets,with AUCs of 0.936(sensitivity 87.5%,specificity 89.4%,accuracy 90.0%)and 0.881(sensitivity 100%,specificity 81.0%,accuracy 84.8%),respectively.Decision curve analysis indicated that the model had good clinical utility.Conclusion The ultrasound radiomics model shows good predictive value for CK19 expression in HCC patients and may provide valuable information for clinical practice.关键词
肝细胞肝癌/影像组学/超声/细胞角蛋白19Key words
Hepatocellular carcinoma/Radiomics/Ultrasound/Cytokeratin 19分类
医药卫生引用本文复制引用
徐美媛,高瑞智,杨红,何云..超声影像组学模型预测肝细胞癌CK19蛋白表达水平的价值[J].国际医学放射学杂志,2025,48(4):384-390,7.基金项目
国家自然科学基金(82160336) （82160336）
广西自然科学基金(区域高发疾病研究联合专项2023GXNSFDA026013) （区域高发疾病研究联合专项2023GXNSFDA026013）
南宁市青秀区科技计划(2020045) （2020045）
