Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.

Published

Journal Article (Review)

The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.

Full Text

Duke Authors

Cited Authors

  • Tang, A; Bashir, MR; Corwin, MT; Cruite, I; Dietrich, CF; Do, RKG; Ehman, EC; Fowler, KJ; Hussain, HK; Jha, RC; Karam, AR; Mamidipalli, A; Marks, RM; Mitchell, DG; Morgan, TA; Ohliger, MA; Shah, A; Vu, K-N; Sirlin, CB; LI-RADS Evidence Working Group,

Published Date

  • January 2018

Published In

Volume / Issue

  • 286 / 1

Start / End Page

  • 29 - 48

PubMed ID

  • 29166245

Pubmed Central ID

  • 29166245

Electronic International Standard Serial Number (EISSN)

  • 1527-1315

Digital Object Identifier (DOI)

  • 10.1148/radiol.2017170554

Language

  • eng

Conference Location

  • United States