Kamaya Aya, Fetzer David T, Seow James H, Burrowes David P, Choi Hailey H, Dawkins Adrian A, Fung Christopher, Gabriel Helena, Hong Cheng William, Khurana Aman, McGillen Kathryn L, Morgan Tara A, Sirlin Claude B, Tse Justin R, Rodgers Shuchi K
From the Department of Radiology, Stanford University, 300 Pasteur Dr, Palo Alto, CA 94304 (A. Kamaya, J.R.T.); The University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Royal Perth Hospital, Perth, Western Australia, Australia (J.H.S.); Department of Radiology, University of Calgary, Calgary, Alberta, Canada (D.P.B.); Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, Calif (H.H.C., C.W.H.); Department of Radiology, University of Kentucky, Lexington, Ky (A.A.D.); MIC Medical Imaging, Edmonton, Alberta, Canada (C.F.); Department of Radiology, Northwestern University, Chicago, Ill (H.G.); Department of Radiology, University of California at San Diego, UC San Diego Medical Center, San Diego, Calif (A. Khurana); Liver Imaging Group, Department of Radiology, UC San Diego, San Diego, Calif (C.B.S.); Penn State Health Milton S. Hershey Medical Center, Hershey, Pa (K.L.M.); Department of Radiology, Mayo Clinic Arizona, Phoenix, Ariz (T.A.M.); and Department of Radiology, Thomas Jefferson University, Cherry Hill, NJ (S.K.R.).
Radiology. 2024 Dec;313(3):e240169. doi: 10.1148/radiol.240169.
In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.
2017年,美国放射学会引入了美国肝脏影像报告和数据系统(LI-RADS),作为对有发生肝细胞癌风险患者进行超声监测的框架。这有助于技术、临床报告、患者管理、数据收集和研究的标准化。新出现的证据为算法的改变提供了依据,该算法现已作为LI-RADS超声监测2024版发布。本文介绍了更新后的算法、改变的理由及其与2023年美国肝病研究协会实践指南的一致性。