| Literature DB >> 29166245 |
An Tang1, Mustafa R Bashir1, Michael T Corwin1, Irene Cruite1, Christoph F Dietrich1, Richard K G Do1, Eric C Ehman1, Kathryn J Fowler1, Hero K Hussain1, Reena C Jha1, Adib R Karam1, Adrija Mamidipalli1, Robert M Marks1, Donald G Mitchell1, Tara A Morgan1, Michael A Ohliger1, Amol Shah1, Kim-Nhien Vu1, Claude B Sirlin1.
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 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.Entities:
Mesh:
Year: 2017 PMID: 29166245 PMCID: PMC6677284 DOI: 10.1148/radiol.2017170554
Source DB: PubMed Journal: Radiology ISSN: 0033-8419 Impact factor: 11.105