Liver Imaging Reporting and Data System: an expert consensus statement

Clicks: 304
ID: 6639
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #30 of 194 articles by views in journal of hepatocellular carcinoma

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 194 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Liver Imaging Reporting and Data System: an expert consensus statement Khaled M Elsayes,1 Ania Z Kielar,2 Michelle M Agrons,3 Janio Szklaruk,1 An Tang,4 Mustafa R Bashir,5 Donald G Mitchell,6 Richard K Do,7 Kathryn J Fowler,8 Victoria Chernyak,9 Claude B Sirlin10 1Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 2Department of Diagnostic Radiology, University of Ottawa, Ottawa, ON, Canada; 3Department of Diagnostic Radiology, Baylor College of Medicine, Houston, TX, USA; 4Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada; 5Department of Diagnostic Radiology, Duke University School of Medicine, Durham, NC, 6Department of Diagnostic Radiology, Thomas Jefferson University, Philadelphia, PA, 7Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 8Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, MO, 9Department of Radiology Albert Einstein College of Medicine, Bronx, New York, NY, 10Department of Diagnostic Radiology, University of California, San Diego, CA, USA Abstract: The increasing incidence and high morbidity and mortality of hepatocellular carcinoma (HCC) have inspired the creation of the Liver Imaging Reporting and Data System (LI-RADS). LI-RADS aims to reduce variability in exam interpretation, improve communication, facilitate clinical therapeutic decisions, reduce omission of pertinent information, and facilitate the monitoring of outcomes. LI-RADS is a dynamic process, which is updated frequently. In this article, we describe the LI-RADS 2014 version (v2014), which marks the second update since the initial version in 2011. Keywords: hepatocellular carcinoma, imaging, reporting, cirrhosis, hyperenhancement washout
Reference Key
khaled2017liverjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Khaled M Elsayes;Ania Z Kielar;Michelle M Agrons;Janio Szklaruk;An Tang;Mustafa R Bashir;Donald G Mitchell;Richard K Do;Kathryn J Fowler;Victoria Chernyak;Claude B Sirlin and
Journal journal of hepatocellular carcinoma
Year 2017
DOI
10.2147/JHC.S125396
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.