Role of US LI-RADS in the LI-RADS Algorithm

The US Liver Imaging Reporting and Data System (LI-RADS) was released in 2017 and is the newest of the four American College of Radiology (ACR) LI-RADS algorithms. US LI-RADS provides standardized terminology, technical recommendations, and a reporting framework for US examinations performed for scr...

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Published inRadiographics Vol. 39; no. 3; p. 690
Main Authors Rodgers, Shuchi K, Fetzer, David T, Gabriel, Helena, Seow, James H, Choi, Hailey H, Maturen, Katherine E, Wasnik, Ashish P, Morgan, Tara A, Dahiya, Nirvikar, O'Boyle, Mary K, Kono, Yuko, Sirlin, Claude B, Kamaya, Aya
Format Journal Article
LanguageEnglish
Published United States 01.05.2019
Subjects
Online AccessGet full text
ISSN0271-5333
1527-1323
1527-1323
DOI10.1148/rg.2019180158

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Abstract The US Liver Imaging Reporting and Data System (LI-RADS) was released in 2017 and is the newest of the four American College of Radiology (ACR) LI-RADS algorithms. US LI-RADS provides standardized terminology, technical recommendations, and a reporting framework for US examinations performed for screening or surveillance in patients at risk for developing hepatocellular carcinoma (HCC). The appropriate patient population for screening and surveillance includes individuals who are at risk for developing HCC but do not have known or suspected cancer. This includes patients with cirrhosis from any cause and subsets of patients with chronic hepatitis B virus infection in the absence of cirrhosis. In an HCC screening or surveillance study, US LI-RADS recommends assigning two scores that apply to the entire study: the US category, which determines follow-up, and a visualization score, which communicates the expected level of sensitivity of the examination but does not affect management. Three US categories are possible: US-1 negative, a study with no evidence of HCC; US-2 subthreshold, a study in which an observation less than 10 mm is depicted that is not definitely benign; and US-3 positive, a study in which an observation greater than or equal to 10 mm or a new thrombus in vein is identified, for which diagnostic contrast material-enhanced imaging is recommended. Three visualization scores are possible: A (no or minimal limitations), B (moderate limitations), and C (severe limitations). RSNA, 2019.
AbstractList The US Liver Imaging Reporting and Data System (LI-RADS) was released in 2017 and is the newest of the four American College of Radiology (ACR) LI-RADS algorithms. US LI-RADS provides standardized terminology, technical recommendations, and a reporting framework for US examinations performed for screening or surveillance in patients at risk for developing hepatocellular carcinoma (HCC). The appropriate patient population for screening and surveillance includes individuals who are at risk for developing HCC but do not have known or suspected cancer. This includes patients with cirrhosis from any cause and subsets of patients with chronic hepatitis B virus infection in the absence of cirrhosis. In an HCC screening or surveillance study, US LI-RADS recommends assigning two scores that apply to the entire study: the US category, which determines follow-up, and a visualization score, which communicates the expected level of sensitivity of the examination but does not affect management. Three US categories are possible: US-1 negative, a study with no evidence of HCC; US-2 subthreshold, a study in which an observation less than 10 mm is depicted that is not definitely benign; and US-3 positive, a study in which an observation greater than or equal to 10 mm or a new thrombus in vein is identified, for which diagnostic contrast material-enhanced imaging is recommended. Three visualization scores are possible: A (no or minimal limitations), B (moderate limitations), and C (severe limitations). RSNA, 2019.
Author Wasnik, Ashish P
Gabriel, Helena
Dahiya, Nirvikar
O'Boyle, Mary K
Morgan, Tara A
Rodgers, Shuchi K
Choi, Hailey H
Sirlin, Claude B
Seow, James H
Maturen, Katherine E
Fetzer, David T
Kono, Yuko
Kamaya, Aya
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  organization: From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/31059393$$D View this record in MEDLINE/PubMed
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Snippet The US Liver Imaging Reporting and Data System (LI-RADS) was released in 2017 and is the newest of the four American College of Radiology (ACR) LI-RADS...
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StartPage 690
SubjectTerms Aged
Algorithms
Carcinoma, Hepatocellular - diagnostic imaging
Carcinoma, Hepatocellular - pathology
Carcinoma, Hepatocellular - prevention & control
Data Systems
Early Detection of Cancer
Female
Humans
Liver - diagnostic imaging
Liver Diseases - classification
Liver Diseases - diagnostic imaging
Liver Diseases - pathology
Liver Neoplasms - diagnostic imaging
Liver Neoplasms - pathology
Liver Neoplasms - prevention & control
Male
Middle Aged
Population Surveillance
Ultrasonography - instrumentation
Ultrasonography - methods
Title Role of US LI-RADS in the LI-RADS Algorithm
URI https://www.ncbi.nlm.nih.gov/pubmed/31059393
https://www.ncbi.nlm.nih.gov/pmc/articles/6542628
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