Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review

An Tang, Mustafa R. Bashir, Michael T. Corwin, Irene Cruite, Christoph F. Dietrich, Richard K.G. Do, Eric C. Ehman, Kathryn J. Fowler, Hero K. Hussain, Reena C. Jha, Adib R. Karam, Adrija Mamidipalli, Robert M. Marks, Donald G. Mitchell, Tara A. Morgan, Michael A. Ohliger, Amol Shah, Kim Nhien Vu, Claude B. Sirlin

Research output: Contribution to journalReview articlepeer-review

103 Scopus citations

Abstract

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 LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS.

Original languageEnglish (US)
Pages (from-to)29-48
Number of pages20
JournalRadiology
Volume286
Issue number1
DOIs
StatePublished - Jan 2018

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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