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LI-RADS v2017 for liver nodules: how we read and report

The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation and reporting of imaging examinations in patients at risk for hepatocellular carcinoma (HCC). For focal liver observations it assigns categories (LR-1 to 5, LR-M, LR-TIV), which reflect the relative probability of...

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Autores principales: Schima, Wolfgang, Heiken, Jay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978995/
https://www.ncbi.nlm.nih.gov/pubmed/29690933
http://dx.doi.org/10.1186/s40644-018-0149-5
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author Schima, Wolfgang
Heiken, Jay
author_facet Schima, Wolfgang
Heiken, Jay
author_sort Schima, Wolfgang
collection PubMed
description The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation and reporting of imaging examinations in patients at risk for hepatocellular carcinoma (HCC). For focal liver observations it assigns categories (LR-1 to 5, LR-M, LR-TIV), which reflect the relative probability of benignity or malignancy of the respective observation. The categories assigned are based on major and ancillary image features, which have been developed by the American College of Radiology (ACR) and validated in many studies. This review summarizes the relevant CT and MRI features and presents an image-guided approach for readers not familiar with LI-RADS on how to use the system. The widespread adoption of LI-RADS for reporting would help reduce inter-reader variability and improve communication among radiologists, hepatologists, hepatic surgeons and oncologists, thus leading to improved patient management.
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spelling pubmed-59789952018-06-06 LI-RADS v2017 for liver nodules: how we read and report Schima, Wolfgang Heiken, Jay Cancer Imaging Review The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation and reporting of imaging examinations in patients at risk for hepatocellular carcinoma (HCC). For focal liver observations it assigns categories (LR-1 to 5, LR-M, LR-TIV), which reflect the relative probability of benignity or malignancy of the respective observation. The categories assigned are based on major and ancillary image features, which have been developed by the American College of Radiology (ACR) and validated in many studies. This review summarizes the relevant CT and MRI features and presents an image-guided approach for readers not familiar with LI-RADS on how to use the system. The widespread adoption of LI-RADS for reporting would help reduce inter-reader variability and improve communication among radiologists, hepatologists, hepatic surgeons and oncologists, thus leading to improved patient management. BioMed Central 2018-04-24 /pmc/articles/PMC5978995/ /pubmed/29690933 http://dx.doi.org/10.1186/s40644-018-0149-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Schima, Wolfgang
Heiken, Jay
LI-RADS v2017 for liver nodules: how we read and report
title LI-RADS v2017 for liver nodules: how we read and report
title_full LI-RADS v2017 for liver nodules: how we read and report
title_fullStr LI-RADS v2017 for liver nodules: how we read and report
title_full_unstemmed LI-RADS v2017 for liver nodules: how we read and report
title_short LI-RADS v2017 for liver nodules: how we read and report
title_sort li-rads v2017 for liver nodules: how we read and report
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978995/
https://www.ncbi.nlm.nih.gov/pubmed/29690933
http://dx.doi.org/10.1186/s40644-018-0149-5
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