Literature DB >> 32718745

Ultrasound Liver Imaging Reporting and Data System (US LI-RADS): An Overview with Technical and Practical Applications.

Hailey H Choi1, Shuchi K Rodgers2, David T Fetzer3, Ashish P Wasnik4, John D Millet4, Tara A Morgan5, Adrian Dawkins6, Helena Gabriel7, Aya Kamaya8.   

Abstract

The Ultrasound Liver Imaging Reporting and Data System (US LI-RADS), introduced in 2017 by the American College of Radiology, standardizes the technique, interpretation, and reporting of screening and surveillance ultrasounds intended to detect hepatocellular carcinoma in high-risk patients. These include patients with cirrhosis of any cause as well as subsets of patients with chronic hepatitis B viral infection. The US LI-RADS scheme is composed of an ultrasound category and a visualization score: ultrasound categories define the exam as negative, subthreshold, or positive and direct next steps in management; visualization scores denote the expected sensitivity of the exam, based on adequacy of liver visualization with ultrasound. Since its introduction, multiple institutions across the United States have implemented US LI-RADS. This review includes a background of hepatocellular carcinoma and US LI-RADS, definition of screening/surveillance population, recommendations and tips for technique, interpretation, and reporting, and preliminary outcomes analysis. Published by Elsevier Inc.

Entities:  

Keywords:  Hepatocellular carcinoma; Liver; Screening and surveillance; US LI-RADS; Ultrasound

Year:  2020        PMID: 32718745     DOI: 10.1016/j.acra.2020.06.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  2 in total

1.  Using quantitative immunohistochemistry in patients at high risk for hepatocellular cancer.

Authors:  Sobia Zaidi; Richard Amdur; Xiyan Xiang; Herbert Yu; Linda L Wong; Shuyun Rao; Aiwu R He; Karan Amin; Daewa Zaheer; Raj K Narayan; Sanjaya K Satapathy; Patricia S Latham; Kirti Shetty; Chandan Guha; Nancy R Gough; Lopa Mishra
Journal:  Genes Cancer       Date:  2022-06-06

Review 2.  A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls.

Authors:  Federica De Muzio; Francesca Grassi; Federica Dell'Aversana; Roberta Fusco; Ginevra Danti; Federica Flammia; Giuditta Chiti; Tommaso Valeri; Andrea Agostini; Pierpaolo Palumbo; Federico Bruno; Carmen Cutolo; Roberta Grassi; Igino Simonetti; Andrea Giovagnoni; Vittorio Miele; Antonio Barile; Vincenza Granata
Journal:  Diagnostics (Basel)       Date:  2022-07-07
  2 in total

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