Ultrasound Liver Imaging Reporting and Data System (US LI-RADS): An Overview with Technical and Practical Applications.

Hepatocellular carcinoma Liver Screening and surveillance US LI-RADS Ultrasound

Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
10 2021
Historique:
received: 06 04 2020
revised: 01 06 2020
accepted: 01 06 2020
pubmed: 29 7 2020
medline: 9 10 2021
entrez: 29 7 2020
Statut: ppublish

Résumé

The Ultrasound Liver Imaging Reporting and Data System (US LI-RADS), introduced in 2017 by the American College of Radiology, standardizes the technique, interpretation, and reporting of screening and surveillance ultrasounds intended to detect hepatocellular carcinoma in high-risk patients. These include patients with cirrhosis of any cause as well as subsets of patients with chronic hepatitis B viral infection. The US LI-RADS scheme is composed of an ultrasound category and a visualization score: ultrasound categories define the exam as negative, subthreshold, or positive and direct next steps in management; visualization scores denote the expected sensitivity of the exam, based on adequacy of liver visualization with ultrasound. Since its introduction, multiple institutions across the United States have implemented US LI-RADS. This review includes a background of hepatocellular carcinoma and US LI-RADS, definition of screening/surveillance population, recommendations and tips for technique, interpretation, and reporting, and preliminary outcomes analysis.

Identifiants

pubmed: 32718745
pii: S1076-6332(20)30354-8
doi: 10.1016/j.acra.2020.06.004
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1464-1476

Subventions

Organisme : NCI NIH HHS
ID : R01 CA195443
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA215520
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA210020
Pays : United States

Informations de copyright

Published by Elsevier Inc.

Auteurs

Hailey H Choi (HH)

Department of Radiology and Biomedical Imaging, University of California San Francisco, 1001 Potrero Ave. Building 5, 1st floor, San Francisco, CA 94110. Electronic address: hailey.choi@ucsf.edu.

Shuchi K Rodgers (SK)

Department of Radiology, Einstein Medical Center, Philadelphia, Pennsylvania.

David T Fetzer (DT)

Department of Radiology, UT Southwestern Medical Center, Dallas Texas.

Ashish P Wasnik (AP)

Department of Radiology, Michigan Medicine, University of Michigan, Arbor, Michigan.

John D Millet (JD)

Department of Radiology, Michigan Medicine, University of Michigan, Arbor, Michigan.

Tara A Morgan (TA)

Department of Radiology and Biomedical Imaging, University of California San Francisco, 1001 Potrero Ave. Building 5, 1st floor, San Francisco, CA 94110.

Adrian Dawkins (A)

Department of Radiology, University of Kentucky, Lexington, Kentucky.

Helena Gabriel (H)

Department of Radiology, Northwestern University, Chicago, Illinois.

Aya Kamaya (A)

Department of Radiology, Stanford University Medical Center, Stanford, California.

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