Bao Jingwen, Nie Zehua, Wang Quanwen, Chen Yanling, Wang Kun, Liu Xinjiang
Hexi University, Zhangye, China.
First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Abdom Radiol (NY). 2025 Feb;50(2):646-655. doi: 10.1007/s00261-024-04519-x. Epub 2024 Aug 16.
To explore the factors that influence the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) classification of combined hepatocellular-cholangiocarcinoma (cHCC-ICC).
Between September 2014 to July 2020, the CEUS features of 58 patients with pathologically confirmed cHCC-ICC were retrospectively evaluated and assigned according to the CEUS LI-RADS (version 2017). The pathological characteristics of nodules categorizing as different CEUS LI-RADS categories were compared. Multivariate logistic regression analysis was conducted to explore potential factors that may influence the CEUS LI-RADS classification of cHCC-ICC.
According to CEUS LI-RADS, 32.8% (19/58), 63.8% (37/58), and 3.4% (2/58) were categorized as LR-5, LR-M, and LR-TIV, respectively. There was significant difference between the LR-M and LR-5 groups with regard to the pathological grade, nodule size, and HCC/ICC-component ratio of cHCC-ICC. Multivariate logistic regression analysis identified tumor size and the relative proportions of hepatocellular carcinomas (HCC) and intrahepatic cholangiocarcinomas (ICC) components as the independent influencing factors.
Tumor size and the relative proportion of HCC and ICC components within the nodule had a significant impact on the CEUS LI-RADS classification of cHCC-ICC.
探讨影响肝内胆管癌合并肝细胞癌(cHCC-ICC)的超声造影(CEUS)肝脏影像报告和数据系统(LI-RADS)分类的因素。
回顾性分析2014年9月至2020年7月间58例经病理证实的cHCC-ICC患者的CEUS特征,并根据CEUS LI-RADS(2017版)进行分类。比较不同CEUS LI-RADS分类的结节的病理特征。进行多因素logistic回归分析,以探讨可能影响cHCC-ICC的CEUS LI-RADS分类的潜在因素。
根据CEUS LI-RADS,分别有32.8%(19/58)、63.8%(37/58)和3.4%(2/58)被分类为LR-5、LR-M和LR-TIV。LR-M组和LR-5组在cHCC-ICC的病理分级、结节大小和HCC/ICC成分比方面存在显著差异。多因素logistic回归分析确定肿瘤大小以及肝细胞癌(HCC)和肝内胆管癌(ICC)成分的相对比例为独立影响因素。
肿瘤大小以及结节内HCC和ICC成分的相对比例对cHCC-ICC的CEUS LI-RADS分类有显著影响。