Details

Autor(en) / Beteiligte

• Tang, An
• Bashir, Mustafa R
• Corwin, Michael T
• Cruite, Irene
• Dietrich, Christoph F
• Do, Richard K G
• 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

Titel

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

Ist Teil von

• Radiology, 2018-01, Vol.286 (1), p.29

Ort / Verlag

United States

Erscheinungsjahr

2018

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.