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优化超声用于肝细胞癌监测

Optimizing US for HCC surveillance.

作者信息

Rodgers Shuchi K, Fetzer David T, Seow James H, McGillen Kathryn, Burrowes David P, Fung Christopher, Udare Ashlesha S, Wilson Stephanie R, Kamaya Aya

机构信息

Thomas Jefferson University, Philadelphia, USA.

The University of Texas Southwestern Medical Center, Dallas, USA.

出版信息

Abdom Radiol (NY). 2025 Jun;50(6):2453-2463. doi: 10.1007/s00261-024-04631-y. Epub 2024 Nov 25.

Abstract

Ultrasound is the primary imaging modality used for surveillance of patients at risk for HCC. In 2017, the American College of Radiology Liver Imaging Reporting and Data Systems (ACR LI-RADS) introduced US LI-RADS to standardize the performance, interpretation, and reporting of US for HCC surveillance, with the algorithm recently updated as LI-RADS US Surveillance v2024. The American Association for the Study of Liver Diseases (AASLD) recommends reporting both the examination-level LI-RADS US Category as well as the US Visualization Score. The US Category conveys the overall findings of the exam and primarily determines follow up recommendations. The US Visualization Score conveys the expected sensitivity of the test and stratifies patients into appropriate surveillance pathways. One of the goals of routine surveillance is the detection of HCC at an early, potentially curable stage. Therefore, optimizing US technique is of critical importance. Increasing North American and worldwide utilization of LI-RADS US Surveillance, which includes technical recommendations, through education and outreach will undoubtedly benefit patients undergoing US HCC surveillance.

摘要

超声是用于监测肝癌高危患者的主要成像方式。2017年,美国放射学会肝脏影像报告和数据系统(ACR LI-RADS)推出了US LI-RADS,以规范用于肝癌监测的超声检查的操作、解读和报告,该算法最近更新为LI-RADS US Surveillance v2024。美国肝病研究协会(AASLD)建议报告检查级别的LI-RADS US类别以及超声可视化评分。US类别传达了检查的总体结果,并主要决定后续建议。超声可视化评分传达了该检查预期的敏感性,并将患者分层到适当的监测途径。常规监测的目标之一是在早期、可能治愈的阶段检测出肝癌。因此,优化超声技术至关重要。通过教育和推广,增加北美和全球对包括技术建议在内的LI-RADS US Surveillance的应用,无疑将使接受超声肝癌监测的患者受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f61/12069441/fdebb43f760f/261_2024_4631_Fig1_HTML.jpg

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