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