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...
Gespeichert in:
Veröffentlicht in: | Abdominal imaging 2018-10, Vol.43 (10), p.2625-2642 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2096552624</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2096552624</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-2a131857bd8b88ab188e63c712d496e124d497a796d3adac689d52ea0996f7c73</originalsourceid><addsrcrecordid>eNp1kU1r3DAQhk1paUKSH9BLEfTSi1pJtj58XLZfC1sCm4T0JmRpvKtgW65kF_Yv9FdX7qYpFHqaGfTMOzN6i-IVJe8oIfJ9IoQJiglVmMqqwtWz4pyVQmBCuHr-lFffzoqrlB4IIVRwShl_WZyVhHIuanle_Lw_-AnQaEaIKLRoOgC6CdbDdFzKVeNC7wfToZ1xPnRhf0QHGM0ULHTd3JmIrInWD6E3yHmzH0LyKWcJTALcBjsncFl-gA6FAW03eLf6cIN-sLw3akNE61tkBoe-7jaXxYvWdAmuHuNFcffp4-36C95ef96sV1tsq1JNmBlaUsVl41SjlGmoUiBKKylzVS2AsipHaWQtXGmcsULVjjMwpK5FK60sL4q3J90xhu8zpEn3Pi3n5CXDnDQjteCcCVZl9M0_6EOYY_6O31QeJxQjmaInysaQUoRWj9H3Jh41JXrxSp-80vlmvXilF-XXj8pz04N76vjjTAbYCUj5adhD_Dv6_6q_AOrunPo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2094966820</pqid></control><display><type>article</type><title>White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI</title><source>MEDLINE</source><source>SpringerLink Journals</source><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.</creator><creatorcontrib>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.</creatorcontrib><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.</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-018-1744-4</identifier><identifier>PMID: 30155697</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>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</subject><ispartof>Abdominal imaging, 2018-10, Vol.43 (10), p.2625-2642</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Abdominal Radiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-2a131857bd8b88ab188e63c712d496e124d497a796d3adac689d52ea0996f7c73</citedby><cites>FETCH-LOGICAL-c438t-2a131857bd8b88ab188e63c712d496e124d497a796d3adac689d52ea0996f7c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-018-1744-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-018-1744-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30155697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Elsayes, Khaled M.</creatorcontrib><creatorcontrib>Kielar, Ania Z.</creatorcontrib><creatorcontrib>Elmohr, Mohab M.</creatorcontrib><creatorcontrib>Chernyak, Victoria</creatorcontrib><creatorcontrib>Masch, William R.</creatorcontrib><creatorcontrib>Furlan, Alessandro</creatorcontrib><creatorcontrib>Marks, Robert M.</creatorcontrib><creatorcontrib>Cruite, Irene</creatorcontrib><creatorcontrib>Fowler, Kathryn J.</creatorcontrib><creatorcontrib>Tang, An</creatorcontrib><creatorcontrib>Bashir, Mustafa R.</creatorcontrib><creatorcontrib>Hecht, Elizabeth M.</creatorcontrib><creatorcontrib>Kamaya, Aya</creatorcontrib><creatorcontrib>Jambhekar, Kedar</creatorcontrib><creatorcontrib>Kamath, Amita</creatorcontrib><creatorcontrib>Arora, Sandeep</creatorcontrib><creatorcontrib>Bijan, Bijan</creatorcontrib><creatorcontrib>Ash, Ryan</creatorcontrib><creatorcontrib>Kassam, Zahra</creatorcontrib><creatorcontrib>Chaudhry, Humaira</creatorcontrib><creatorcontrib>McGahan, John P.</creatorcontrib><creatorcontrib>Yacoub, Joseph H.</creatorcontrib><creatorcontrib>McInnes, Matthew</creatorcontrib><creatorcontrib>Fung, Alice W.</creatorcontrib><creatorcontrib>Shanbhogue, Krishna</creatorcontrib><creatorcontrib>Lee, James</creatorcontrib><creatorcontrib>Deshmukh, Sandeep</creatorcontrib><creatorcontrib>Horvat, Natally</creatorcontrib><creatorcontrib>Mitchell, Donald G.</creatorcontrib><creatorcontrib>Do, Richard K. 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. 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.</description><subject>Algorithms</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Computed tomography</subject><subject>Data collection</subject><subject>Diagnosis</subject><subject>Diagnosis, Differential</subject><subject>Diagnostic systems</subject><subject>Gastroenterology</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver diseases</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - standards</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Perspective</subject><subject>Radiology</subject><subject>Societies, Medical</subject><subject>Terminology</subject><subject>Tomography, X-Ray Computed - standards</subject><subject>Transplantation</subject><subject>Ultrasound</subject><subject>United States</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU1r3DAQhk1paUKSH9BLEfTSi1pJtj58XLZfC1sCm4T0JmRpvKtgW65kF_Yv9FdX7qYpFHqaGfTMOzN6i-IVJe8oIfJ9IoQJiglVmMqqwtWz4pyVQmBCuHr-lFffzoqrlB4IIVRwShl_WZyVhHIuanle_Lw_-AnQaEaIKLRoOgC6CdbDdFzKVeNC7wfToZ1xPnRhf0QHGM0ULHTd3JmIrInWD6E3yHmzH0LyKWcJTALcBjsncFl-gA6FAW03eLf6cIN-sLw3akNE61tkBoe-7jaXxYvWdAmuHuNFcffp4-36C95ef96sV1tsq1JNmBlaUsVl41SjlGmoUiBKKylzVS2AsipHaWQtXGmcsULVjjMwpK5FK60sL4q3J90xhu8zpEn3Pi3n5CXDnDQjteCcCVZl9M0_6EOYY_6O31QeJxQjmaInysaQUoRWj9H3Jh41JXrxSp-80vlmvXilF-XXj8pz04N76vjjTAbYCUj5adhD_Dv6_6q_AOrunPo</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Elsayes, Khaled M.</creator><creator>Kielar, Ania Z.</creator><creator>Elmohr, Mohab M.</creator><creator>Chernyak, Victoria</creator><creator>Masch, William R.</creator><creator>Furlan, Alessandro</creator><creator>Marks, Robert M.</creator><creator>Cruite, Irene</creator><creator>Fowler, Kathryn J.</creator><creator>Tang, An</creator><creator>Bashir, Mustafa R.</creator><creator>Hecht, Elizabeth M.</creator><creator>Kamaya, Aya</creator><creator>Jambhekar, Kedar</creator><creator>Kamath, Amita</creator><creator>Arora, Sandeep</creator><creator>Bijan, Bijan</creator><creator>Ash, Ryan</creator><creator>Kassam, Zahra</creator><creator>Chaudhry, Humaira</creator><creator>McGahan, John P.</creator><creator>Yacoub, Joseph H.</creator><creator>McInnes, Matthew</creator><creator>Fung, Alice W.</creator><creator>Shanbhogue, Krishna</creator><creator>Lee, James</creator><creator>Deshmukh, Sandeep</creator><creator>Horvat, Natally</creator><creator>Mitchell, Donald G.</creator><creator>Do, Richard K. G.</creator><creator>Surabhi, Venkateswar R.</creator><creator>Szklaruk, Janio</creator><creator>Sirlin, Claude B.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20181001</creationdate><title>White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-2a131857bd8b88ab188e63c712d496e124d497a796d3adac689d52ea0996f7c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Computed tomography</topic><topic>Data collection</topic><topic>Diagnosis</topic><topic>Diagnosis, Differential</topic><topic>Diagnostic systems</topic><topic>Gastroenterology</topic><topic>Hepatocellular carcinoma</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver diseases</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - standards</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Perspective</topic><topic>Radiology</topic><topic>Societies, Medical</topic><topic>Terminology</topic><topic>Tomography, X-Ray Computed - standards</topic><topic>Transplantation</topic><topic>Ultrasound</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elsayes, Khaled M.</creatorcontrib><creatorcontrib>Kielar, Ania Z.</creatorcontrib><creatorcontrib>Elmohr, Mohab M.</creatorcontrib><creatorcontrib>Chernyak, Victoria</creatorcontrib><creatorcontrib>Masch, William R.</creatorcontrib><creatorcontrib>Furlan, Alessandro</creatorcontrib><creatorcontrib>Marks, Robert M.</creatorcontrib><creatorcontrib>Cruite, Irene</creatorcontrib><creatorcontrib>Fowler, Kathryn J.</creatorcontrib><creatorcontrib>Tang, An</creatorcontrib><creatorcontrib>Bashir, Mustafa R.</creatorcontrib><creatorcontrib>Hecht, Elizabeth M.</creatorcontrib><creatorcontrib>Kamaya, Aya</creatorcontrib><creatorcontrib>Jambhekar, Kedar</creatorcontrib><creatorcontrib>Kamath, Amita</creatorcontrib><creatorcontrib>Arora, Sandeep</creatorcontrib><creatorcontrib>Bijan, Bijan</creatorcontrib><creatorcontrib>Ash, Ryan</creatorcontrib><creatorcontrib>Kassam, Zahra</creatorcontrib><creatorcontrib>Chaudhry, Humaira</creatorcontrib><creatorcontrib>McGahan, John P.</creatorcontrib><creatorcontrib>Yacoub, Joseph H.</creatorcontrib><creatorcontrib>McInnes, Matthew</creatorcontrib><creatorcontrib>Fung, Alice W.</creatorcontrib><creatorcontrib>Shanbhogue, Krishna</creatorcontrib><creatorcontrib>Lee, James</creatorcontrib><creatorcontrib>Deshmukh, Sandeep</creatorcontrib><creatorcontrib>Horvat, Natally</creatorcontrib><creatorcontrib>Mitchell, Donald G.</creatorcontrib><creatorcontrib>Do, Richard K. 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 & Allied Health Database</collection><collection>Health & 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 & 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 & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T07%3A38%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=White%20paper%20of%20the%20Society%20of%20Abdominal%20Radiology%20hepatocellular%20carcinoma%20diagnosis%20disease-focused%20panel%20on%20LI-RADS%20v2018%20for%20CT%20and%20MRI&rft.jtitle=Abdominal%20imaging&rft.au=Elsayes,%20Khaled%20M.&rft.date=2018-10-01&rft.volume=43&rft.issue=10&rft.spage=2625&rft.epage=2642&rft.pages=2625-2642&rft.issn=2366-004X&rft.eissn=2366-0058&rft_id=info:doi/10.1007/s00261-018-1744-4&rft_dat=%3Cproquest_cross%3E2096552624%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2094966820&rft_id=info:pmid/30155697&rfr_iscdi=true |