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Imaging after liver-directed therapy:evidenced-based update of the LI-RADS treatment response algorithm
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作者 Marisa Martin Anum Aslam +13 位作者 Eman Mubarak Cate Hofley Kayli Lala sandeep arora David C.Madoff Elainea Smith Dawn Owen Ahmed Gabr Charles Kim Neehar Parikh Erica Stein Benjamin Mervak Kimberly Shampain Mishal Mendiratta-Lala 《Hepatoma Research》 2023年第1期387-401,共15页
There are multiple liver-directed treatment options for hepatocellular carcinoma(HCC),which provide curative intent,help patients achieve remission,and/or provide a bridge to transplant by controlling local tumor prog... There are multiple liver-directed treatment options for hepatocellular carcinoma(HCC),which provide curative intent,help patients achieve remission,and/or provide a bridge to transplant by controlling local tumor progression and downstaging patients.After locoregional therapy(LRT),management of these patients,including liver transplant candidacy,is guided by treatment response assessment.The Liver Imaging Reporting and Data Systems(LI-RADS)treatment response algorithm(TRA)was created to provide a standardized assessment of HCC following LRT.Originally created primarily on expert opinion,subsequent literature has continued to evaluate the validity of this algorithm.In this manuscript,we review emerging literature supporting the use of LI-RADS in the assessment of HCC treatment response after LRT and highlight future updates.©The Author(s)2023.Open Access This article is licensed under a Creative Commons Attribution International License(https://creativecommons.org/licenses/by/4.0/),which permits unrestricted use,adaptation,distribution and reproduction in any medium or format,for any purpose,even commercially,long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons license,indicate if changes were made. 展开更多
关键词 Hepatocellular carcinoma liver imaging data and reporting system treatment response algorithm locoregional therapy treatment response assessment
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