Understanding LI-RADS: a primer for practical use

Cynthia S Santillan; An Tang; Irene Cruite; Amol Shah; Claude B Sirlin

doi:10.1016/j.mric.2014.04.007

Understanding LI-RADS: a primer for practical use

Magn Reson Imaging Clin N Am. 2014 Aug;22(3):337-52. doi: 10.1016/j.mric.2014.04.007.

Authors

Cynthia S Santillan¹, An Tang², Irene Cruite³, Amol Shah⁴, Claude B Sirlin⁵

Affiliations

¹ Department of Radiology, University of California San Diego, 200 West Arbor Drive, San Diego, CA 92130, USA.
² Department of Radiology, Hôpital Saint-Luc, Centre de recherché du Centre hospitalier de l'Université de Montréal, Université de Montréal, 1058 Saint-Denis, Montréal, Québec H2X 3J4, Canada.
³ Department of Radiology, University of Washington Medical Center, 1959 Northeast Pacific Street, Seattle, WA 98195-6113, USA.
⁴ Liver Imaging Group, Department of Radiology, University of California San Diego, 200 West Arbor Drive, San Diego, CA 92130, USA.
⁵ Liver Imaging Group, Department of Radiology, University of California San Diego, 200 West Arbor Drive, San Diego, CA 92130, USA. Electronic address: [email protected].

PMID: 25086933
DOI: 10.1016/j.mric.2014.04.007

Abstract

The Liver Imaging-Reporting and Data System (LI-RADS) is a comprehensive system for standardized interpretation and reporting of computed tomography and magnetic resonance examinations performed in patients at risk for hepatocellular carcinoma. LI-RADS includes a diagnostic algorithm, lexicon, and atlas as well as suggestions for reporting, management, and imaging techniques. This primer provides an introduction to LI-RADS for radiologists including an explanation of the diagnostic algorithm, descriptions of the categories, and definitions of the major imaging features used to categorize observations with case examples.

Keywords: Hepatocellular carcinoma; LI-RADS; Liver; Magnetic resonance imaging.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Carcinoma, Hepatocellular / diagnosis*
Humans
Liver / diagnostic imaging*
Liver / pathology*
Liver Neoplasms / diagnosis*
Magnetic Resonance Imaging / methods
Radiology Information Systems*
Tomography, X-Ray Computed / methods