摘要
巨梁-块状型(MTM)肝细胞癌(HCC)是一种具有更高恶性程度的HCC组织学亚型,术前无创识别有利于精准治疗。目前,基于影像组学的诊断模型常采用特征拼接的方式整合多期相特征,难以挖掘期相间的潜在互补信息。本研究提出一种基于特征融合的多期对比增强计算机断层扫描(mpCECT)影像组学模型,对121例HCC患者的动脉期(AP)、门脉期(PVP)和延迟期(DP)对比增强CT提取特征,构建融合模型并与拼接模型对比。五折交叉验证显示,基于AP和PVP组合的特征融合模型取得了最佳的分类性能,其受试者工作特征曲线下面积(AUC)达到了0.839。此外,在任意两种期相组合的情况下,特征融合模型的性能均优于传统的特征拼接模型。综上,本研究提出的特征融合模型有效提升了传统模型的鉴别能力,为临床实践提供了新工具。
The macrotrabecular-massive(MTM)subtype of hepatocellular carcinoma(HCC)is a histological variant with higher malignant potential.Non-invasive preoperative identification of MTM-HCC is crucial for precise treatment.Current radiomics-based diagnostic models often integrate multi-phase features by simple feature concatenation,which may inadequately explore the latent complementary information between phases.This study proposes a feature fusion-based radiomics model using multi-phase contrast-enhanced computed tomography(mpCECT)images.Features were extracted from the arterial phase(AP),portal venous phase(PVP),and delayed phase(DP)CT images of 121 HCC patients.The fusion model was constructed and compared against the traditional concatenation model.Five-fold cross-validation demonstrated that the feature fusion model combining AP and PVP features achieved the best classification performance,with an area under the receiver operating characteristic curve(AUC)of 0.839.Furthermore,for any combination of two phases,the feature fusion model consistently outperformed the traditional feature concatenation approach.In conclusion,the proposed feature fusion model effectively enhances the discrimination capability compared to traditional models,providing a new tool for clinical practice.
作者
张振阳
谢金城
钟伟雄
梁芳蓉
张婉丽
孙妍
甄鑫
杨蕊梦
ZHANG Zhenyang;XIE Jincheng;ZHONG Weixiong;LIANG Fangrong;ZHANG Wanli;SUN Yan;ZHEN Xin;YANG Ruimeng(Department of Radiology,the Second Affiliated Hospital,School of Medicine,South China University of Technology,Guangzhou 510180,P.R.China;School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,P.R.China;School of Medicine,South China University of Technology,Guangzhou 510006,P.R.China;School of Life Sciences,Nankai University,Tianjin 300350,P.R.China;Medical Big Data Center,Guangdong Provincial People’s Hospital,Southern Medical University,Guangzhou 510080,P.R.China)
出处
《生物医学工程学杂志》
北大核心
2025年第6期1198-1204,共7页
Journal of Biomedical Engineering
基金
国家自然科学基金(82371908,82572381,81874216,81971574,62106058)
广东省自然科学基金(2024A1515012177,2024A1515012100,2022A1515011410)
广州市科技项目(202201011662)
广州市重点实验室建设项目(202201020376)。
关键词
巨梁-块状型
肝细胞癌
多期对比增强计算机断层扫描
影像组学
特征融合
Macrotrabecular-massive
Hepatocellular carcinoma
Multi-phase contrast-enhanced computed tomography
Radiomics
Feature fusion
