1. LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance
- Author
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Elsayes, Khaled M, Kielar, Ania Z, Chernyak, Victoria, Morshid, Ali, Furlan, Alessandro, Masch, William R, Marks, Robert M, Kamaya, Aya, G, Richard K, Kono, Yuko, Fowler, Kathryn J, Tang, An, Bashir, Mustafa R, Hecht, Elizabeth M, Jambhekar, Kedar, Lyshchik, Andrej, Rodgers, Shuchi K, Heiken, Jay P, Kohli, Marc, Fetzer, David T, Wilson, Stephanie R, Kassam, Zahra, Mendiratta-Lala, Mishal, Singal, Amit G, Lim, Christopher S, Cruite, Irene, Lee, James, Ash, Ryan, Mitchell, Donald G, McInnes, Matthew DF, and Sirlin, Claude B
- Subjects
Chronic Liver Disease and Cirrhosis ,Digestive Diseases ,Rare Diseases ,Liver Disease ,Cancer ,Biomedical Imaging ,Liver Cancer ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Good Health and Well Being ,LI-RADS ,v2018 ,CT ,MRI ,CEUS ,US ,HCC ,liver imaging ,reporting ,cirrhosis - Abstract
The Liver Imaging Reporting and Data System (LI-RADS®) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver observations in individuals at high risk for hepatocellular carcinoma (HCC). LI-RADS is supported and endorsed by the American College of Radiology (ACR). Upon its initial release in 2011, LI-RADS applied only to liver observations identified at CT or MRI. It has since been refined and expanded over multiple updates to now also address ultrasound-based surveillance, contrast-enhanced ultrasound for HCC diagnosis, and CT/MRI for assessing treatment response after locoregional therapy. The LI-RADS 2018 version was integrated into the HCC diagnosis, staging, and management practice guidance of the American Association for the Study of Liver Diseases (AASLD). This article reviews the major LI-RADS updates since its 2011 inception and provides an overview of the currently published LI-RADS algorithms.
- Published
- 2019