医学
超声造影
放射科
前瞻性队列研究
超声波
肝细胞癌
试验预测值
金标准(测试)
磁共振成像
内科学
作者
Andrej Lyshchik,Corinne E. Wessner,Kristen Bradigan,John R. Eisenbrey,Flemming Forsberg,Misung Yi,Scott W. Keith,Yuko Kono,Stephanie R. Wilson,Alexandra Medellin,Shuchi K. Rodgers,Virginia B. Planz,Aya Kamaya,Lisa Finch,David T. Fetzer,Annalisa Berzigotti,Paul S. Sidhu,Fabio Piscaglia
出处
期刊:Hepatology
[Wiley]
日期:2023-08-07
卷期号:79 (2): 380-391
被引量:7
标识
DOI:10.1097/hep.0000000000000558
摘要
Background and Aims: The objective of this study is to determine the diagnostic accuracy of the American College of Radiology Contrast-Enhanced Ultrasound (CEUS) Liver Imaging Reporting and Data System LR-5 characterization for HCC diagnosis in North American or European patients. Approach and Results: A prospective multinational cohort study was performed from January 2018 through November 2022 at 11 academic and nonacademic centers in North America and Europe. Patients at risk for HCC with at least 1 liver observation not previously treated, identified on ultrasound (US), or multiphase CT or MRI performed as a part of standard clinical care were eligible for the study. All participants were examined with CEUS of the liver within 4 weeks of CT/MRI or tissue diagnosis to characterize up to 2 liver nodules per participant using ACR CEUS Liver Imaging Reporting and Data System. Definite HCC diagnosis on the initial CT/MRI, imaging follow-up, or histology for CT/MRI-indeterminate nodules were used as reference standards. A total of 545 nodules had confirmed reference standards in 480 patients, 73.8% were HCC, 5.5% were other malignancies, and 20.7% were nonmalignant. The specificity of CEUS LR-5 for HCC was 95.1% (95% CI 90.1%–97.7%), sensitivity 62.9% (95% CI 57.9%–67.7%), positive predictive value 97.3% (95% CI 94.5%–98.7%), and negative predictive value 47.7% (95% CI 41.7%–53.8%). In addition, benign CEUS characterization (LR-1 or LR-2) had 100% specificity and 100% positive predictive value for nonmalignant liver nodules. Conclusions: CEUS Liver Imaging Reporting and Data System provides an accurate categorization of liver nodules in participants at risk for HCC.
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