LI-RADS treatment response lexicon: review, refresh and resolve with emerging data
The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS)...
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Veröffentlicht in: | Abdominal imaging 2021-08, Vol.46 (8), p.3549-3557 |
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creator | Ram, Roopa Kampalath, Rony Shenoy-Bhangle, Anuradha S. Arora, Sandeep Kielar, Ania Z. Mendiratta-Lala, Mishal |
description | The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. We will review current guidelines and discuss proposed changes to the algorithm as a means to continually improve LI-RADS TRA as an assessment tool post-loco regional treatment of hepatocellular carcinoma. |
doi_str_mv | 10.1007/s00261-021-03149-x |
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Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. 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The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-390a37a22bd8999e5fb19f905a4cc52145a7e6888788ac45d48b5bd6c41b2dc63</citedby><cites>FETCH-LOGICAL-c375t-390a37a22bd8999e5fb19f905a4cc52145a7e6888788ac45d48b5bd6c41b2dc63</cites><orcidid>0000-0002-8536-1221</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-021-03149-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-021-03149-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34106301$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ram, Roopa</creatorcontrib><creatorcontrib>Kampalath, Rony</creatorcontrib><creatorcontrib>Shenoy-Bhangle, Anuradha S.</creatorcontrib><creatorcontrib>Arora, Sandeep</creatorcontrib><creatorcontrib>Kielar, Ania Z.</creatorcontrib><creatorcontrib>Mendiratta-Lala, Mishal</creatorcontrib><title>LI-RADS treatment response lexicon: review, refresh and resolve with emerging data</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. We will review current guidelines and discuss proposed changes to the algorithm as a means to continually improve LI-RADS TRA as an assessment tool post-loco regional treatment of hepatocellular carcinoma.</description><subject>Algorithms</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Carcinoma, Hepatocellular - therapy</subject><subject>Cross-Sectional Studies</subject><subject>Evolutionary algorithms</subject><subject>Gastroenterology</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Liver Neoplasms - therapy</subject><subject>Magnetic Resonance Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiology</subject><subject>Special Section: HCC Treatment</subject><subject>Tomography, X-Ray Computed</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kMtKAzEUhoMoVmpfwIUMuHHhaK4zE3el3goFoSq4C5nMaTtlLjWZXnx7U6dWcOEinJDznT_Jh9AZwdcE4_jGYUwjEmLqFyNchpsDdEJZFIUYi-Rwv-fvHdRzbo4xJpEghIpj1GGc4IhhcoLGo2E47t-9BI0F3ZRQNYEFt6grB0EBm9zU1a0_WeWwvvJ14puzQFfZlqqLFQTrvJkFUIKd5tU0yHSjT9HRRBcOervaRW8P96-Dp3D0_Dgc9EehYbFoQiaxZrGmNM0SKSWISUrkRGKhuTGCEi50DFGSJHGSaMNFxpNUpFlkOElpZiLWRZdt7sLWH0twjSpzZ6AodAX10ikqmBSUcyY9evEHnddLW_nXeUrQWEhCuadoSxlbO-c_qxY2L7X9VASrrXTVSldeuvqWrjZ-6HwXvUxLyPYjP4o9wFrA-VY1Bft79z-xX-Nti3c</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Ram, Roopa</creator><creator>Kampalath, Rony</creator><creator>Shenoy-Bhangle, Anuradha S.</creator><creator>Arora, Sandeep</creator><creator>Kielar, Ania Z.</creator><creator>Mendiratta-Lala, Mishal</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>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8536-1221</orcidid></search><sort><creationdate>20210801</creationdate><title>LI-RADS treatment response lexicon: review, refresh and resolve with emerging data</title><author>Ram, Roopa ; Kampalath, Rony ; Shenoy-Bhangle, Anuradha S. ; Arora, Sandeep ; Kielar, Ania Z. ; Mendiratta-Lala, Mishal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-390a37a22bd8999e5fb19f905a4cc52145a7e6888788ac45d48b5bd6c41b2dc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Carcinoma, Hepatocellular - 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Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ram, Roopa</au><au>Kampalath, Rony</au><au>Shenoy-Bhangle, Anuradha S.</au><au>Arora, Sandeep</au><au>Kielar, Ania Z.</au><au>Mendiratta-Lala, Mishal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LI-RADS treatment response lexicon: review, refresh and resolve with emerging data</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2021-08-01</date><risdate>2021</risdate><volume>46</volume><issue>8</issue><spage>3549</spage><epage>3557</epage><pages>3549-3557</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. We will review current guidelines and discuss proposed changes to the algorithm as a means to continually improve LI-RADS TRA as an assessment tool post-loco regional treatment of hepatocellular carcinoma.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>34106301</pmid><doi>10.1007/s00261-021-03149-x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8536-1221</orcidid></addata></record> |
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subjects | Algorithms Carcinoma, Hepatocellular - diagnostic imaging Carcinoma, Hepatocellular - therapy Cross-Sectional Studies Evolutionary algorithms Gastroenterology Hepatocellular carcinoma Hepatology Humans Imaging Liver cancer Liver Neoplasms - diagnostic imaging Liver Neoplasms - therapy Magnetic Resonance Imaging Medicine Medicine & Public Health Radiology Special Section: HCC Treatment Tomography, X-Ray Computed |
title | LI-RADS treatment response lexicon: review, refresh and resolve with emerging data |
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