White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI

The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patie...

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Veröffentlicht in:Abdominal imaging 2018-10, Vol.43 (10), p.2625-2642
Hauptverfasser: Elsayes, Khaled M., Kielar, Ania Z., Elmohr, Mohab M., Chernyak, Victoria, Masch, William R., Furlan, Alessandro, Marks, Robert M., Cruite, Irene, Fowler, Kathryn J., Tang, An, Bashir, Mustafa R., Hecht, Elizabeth M., Kamaya, Aya, Jambhekar, Kedar, Kamath, Amita, Arora, Sandeep, Bijan, Bijan, Ash, Ryan, Kassam, Zahra, Chaudhry, Humaira, McGahan, John P., Yacoub, Joseph H., McInnes, Matthew, Fung, Alice W., Shanbhogue, Krishna, Lee, James, Deshmukh, Sandeep, Horvat, Natally, Mitchell, Donald G., Do, Richard K. G., Surabhi, Venkateswar R., Szklaruk, Janio, Sirlin, Claude B.
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container_end_page 2642
container_issue 10
container_start_page 2625
container_title Abdominal imaging
container_volume 43
creator Elsayes, Khaled M.
Kielar, Ania Z.
Elmohr, Mohab M.
Chernyak, Victoria
Masch, William R.
Furlan, Alessandro
Marks, Robert M.
Cruite, Irene
Fowler, Kathryn J.
Tang, An
Bashir, Mustafa R.
Hecht, Elizabeth M.
Kamaya, Aya
Jambhekar, Kedar
Kamath, Amita
Arora, Sandeep
Bijan, Bijan
Ash, Ryan
Kassam, Zahra
Chaudhry, Humaira
McGahan, John P.
Yacoub, Joseph H.
McInnes, Matthew
Fung, Alice W.
Shanbhogue, Krishna
Lee, James
Deshmukh, Sandeep
Horvat, Natally
Mitchell, Donald G.
Do, Richard K. G.
Surabhi, Venkateswar R.
Szklaruk, Janio
Sirlin, Claude B.
description The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. The harmonization between the AASLD and LI-RADS diagnostic imaging criteria required minor modifications to the recently released LI-RADS v2017 guidelines, necessitating a LI-RADS v2018 update. This article provides an overview of the key changes included in LI-RADS v2018 as well as a look at the LI-RADS v2018 diagnostic algorithm and criteria, technical recommendations, and management suggestions. Substantive changes in LI-RADS v2018 are the removal of the requirement for visibility on antecedent surveillance ultrasound for LI-RADS 5 (LR-5) categorization of 10-19 mm observations with nonrim arterial phase hyper-enhancement and nonperipheral “washout”, and adoption of the Organ Procurement and Transplantation Network definition of threshold growth (≥ 50% size increase of a mass in ≤ 6 months). Nomenclatural changes in LI-RADS v2018 are the removal of -us and -g as LR-5 qualifiers.
doi_str_mv 10.1007/s00261-018-1744-4
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G.</creatorcontrib><creatorcontrib>Surabhi, Venkateswar R.</creatorcontrib><creatorcontrib>Szklaruk, Janio</creatorcontrib><creatorcontrib>Sirlin, Claude B.</creatorcontrib><title>White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. 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G.</creatorcontrib><creatorcontrib>Surabhi, Venkateswar R.</creatorcontrib><creatorcontrib>Szklaruk, Janio</creatorcontrib><creatorcontrib>Sirlin, Claude B.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elsayes, Khaled M.</au><au>Kielar, Ania Z.</au><au>Elmohr, Mohab M.</au><au>Chernyak, Victoria</au><au>Masch, William R.</au><au>Furlan, Alessandro</au><au>Marks, Robert M.</au><au>Cruite, Irene</au><au>Fowler, Kathryn J.</au><au>Tang, An</au><au>Bashir, Mustafa R.</au><au>Hecht, Elizabeth M.</au><au>Kamaya, Aya</au><au>Jambhekar, Kedar</au><au>Kamath, Amita</au><au>Arora, Sandeep</au><au>Bijan, Bijan</au><au>Ash, Ryan</au><au>Kassam, Zahra</au><au>Chaudhry, Humaira</au><au>McGahan, John P.</au><au>Yacoub, Joseph H.</au><au>McInnes, Matthew</au><au>Fung, Alice W.</au><au>Shanbhogue, Krishna</au><au>Lee, James</au><au>Deshmukh, Sandeep</au><au>Horvat, Natally</au><au>Mitchell, Donald G.</au><au>Do, Richard K. G.</au><au>Surabhi, Venkateswar R.</au><au>Szklaruk, Janio</au><au>Sirlin, Claude B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2018-10-01</date><risdate>2018</risdate><volume>43</volume><issue>10</issue><spage>2625</spage><epage>2642</epage><pages>2625-2642</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. The harmonization between the AASLD and LI-RADS diagnostic imaging criteria required minor modifications to the recently released LI-RADS v2017 guidelines, necessitating a LI-RADS v2018 update. This article provides an overview of the key changes included in LI-RADS v2018 as well as a look at the LI-RADS v2018 diagnostic algorithm and criteria, technical recommendations, and management suggestions. Substantive changes in LI-RADS v2018 are the removal of the requirement for visibility on antecedent surveillance ultrasound for LI-RADS 5 (LR-5) categorization of 10-19 mm observations with nonrim arterial phase hyper-enhancement and nonperipheral “washout”, and adoption of the Organ Procurement and Transplantation Network definition of threshold growth (≥ 50% size increase of a mass in ≤ 6 months). Nomenclatural changes in LI-RADS v2018 are the removal of -us and -g as LR-5 qualifiers.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>30155697</pmid><doi>10.1007/s00261-018-1744-4</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2366-004X
ispartof Abdominal imaging, 2018-10, Vol.43 (10), p.2625-2642
issn 2366-004X
2366-0058
language eng
recordid cdi_proquest_miscellaneous_2096552624
source MEDLINE; SpringerLink Journals
subjects Algorithms
Carcinoma, Hepatocellular - diagnostic imaging
Computed tomography
Data collection
Diagnosis
Diagnosis, Differential
Diagnostic systems
Gastroenterology
Hepatocellular carcinoma
Hepatology
Humans
Imaging
Liver
Liver cancer
Liver diseases
Liver Neoplasms - diagnostic imaging
Magnetic resonance imaging
Magnetic Resonance Imaging - standards
Medical diagnosis
Medical imaging
Medicine
Medicine & Public Health
Perspective
Radiology
Societies, Medical
Terminology
Tomography, X-Ray Computed - standards
Transplantation
Ultrasound
United States
title White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI
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