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基于超声的分形参数在鉴别肝细胞癌与肝内胆管癌中的性能

Performance of Ultrasonography-Based Fractal Parameters in Distinguishing Hepatocellular Carcinoma From Intrahepatic Cholangiocarcinoma.

作者信息

Zhou Huihui, Sang Lin, Sun Yuanyuan, Gong Xue, Zhang Jun, Liu Lina, Wei Junci, Jiao Weijie, Yu Ming

机构信息

Department of Ultrasonic Medicine, The First Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.

出版信息

Ultrason Imaging. 2025 Jul;47(3-4):115-124. doi: 10.1177/01617346251330257. Epub 2025 Apr 15.

Abstract

To evaluate the ability of fractal parameters based on ultrasonography to distinguish between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) in patients. This retrospective study was performed to assess the performance of certain ultrasound-based parameters, including fractal dimension (FD), lacunarity (LAC), and FD combined with LAC (FL), in distinguishing HCC from ICC with liver biopsy as the gold standard, information was obtained from 204 eligible patients. Receiver operating characteristic (ROC) curve analysis was conducted, to assess the performance of these parameters in distinguishing between HCC and ICC in patients with or without CLD. The following parameters were significantly different between with and without CLD: the levels of alpha-fetoprotein, abnormal prothrombin, alanine aminotransferase, aspartic acid, total bilirubin and indirect bilirubin ( < .05). The AUC of FL in differentiating HCC from ICC was 0.983 and 0.854 in patients without or with CLD, which were significantly better than that of FD (non-CLD, 0.902 AUC; CLD, 0.647 AUC,  < .05) and LAC (non-CLD, 0.895 AUC; CLD, 0.843 AUC,  < .05). FL can better distinguish between HCC and ICC in patients with or without CLD than FD and LAC. FL may serve as a promising preoperative alternative for distinguishing between the two diseases.Clinical trials:Brief title: Exploration of noninvasive differential diagnosis of benign and malignant liver tumors.URL: https://register.clinicaltrials.govClinicalTrials.gov ID: NCT06524557.

摘要

评估基于超声的分形参数区分患者肝细胞癌(HCC)和肝内胆管癌(ICC)的能力。本回顾性研究旨在评估某些基于超声的参数,包括分形维数(FD)、空隙率(LAC)以及FD与LAC联合(FL),以肝活检为金标准区分HCC和ICC的性能,从204例符合条件的患者中获取信息。进行了受试者操作特征(ROC)曲线分析,以评估这些参数在区分有无慢性肝病(CLD)患者的HCC和ICC方面的性能。有无CLD患者之间以下参数存在显著差异:甲胎蛋白、异常凝血酶原、丙氨酸转氨酶、天冬氨酸、总胆红素和间接胆红素水平(P<0.05)。在无CLD或有CLD的患者中,FL区分HCC和ICC的曲线下面积(AUC)分别为0.983和 0.854,显著优于FD(无CLD,AUC为0.902;有CLD,AUC为0.647,P<0.05)和LAC(无CLD,AUC为0.895;有CLD,AUC为0.843,P<0.05)。与FD和LAC相比,FL能更好地区分有无CLD患者的HCC和ICC。FL可能是区分这两种疾病的一种有前景的术前替代方法。临床试验:简短标题:肝脏良恶性肿瘤的无创鉴别诊断探索。网址:https://register.clinicaltrials.gov 美国国立医学图书馆临床试验注册中心编号:NCT06524557 。

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