{"id":258,"date":"2020-01-30T11:00:46","date_gmt":"2020-01-30T11:00:46","guid":{"rendered":"https:\/\/journals.myesr.org\/insights-imaging\/2020\/01\/30\/assessment-of-hepatocellular-carcinoma-treatment-response-with-li-rads-a-pictorial-review\/"},"modified":"2025-09-24T21:49:56","modified_gmt":"2025-09-24T20:49:56","slug":"assessment-of-hepatocellular-carcinoma-treatment-response-with-li-rads-a-pictorial-review","status":"publish","type":"post","link":"https:\/\/journals.myesr.org\/insights-imaging\/highlights\/assessment-of-hepatocellular-carcinoma-treatment-response-with-li-rads-a-pictorial-review\/","title":{"rendered":"Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1250 alignleft\" src=\"\/app\/uploads\/2020\/01\/Article-3-Jan-2020.jpg\" alt=\"\" width=\"286\" height=\"232\" \/>The authors of this article review the LR-TR algorithm \u2013 a treatment response algorithm that was developed by LI-RADS with the aim of assisting radiologists with the interpretation and standardization of report treatment response. The authors also consider locoregional therapies for HCC, treatment concepts, and expected posttreatment findings, as well as illustrate LI-RADS treatment response assessment with CT and MRI.<\/p>\n<p><strong>Article:<\/strong> <a href=\"https:\/\/insightsimaging.springeropen.com\/articles\/10.1186\/s13244-019-0801-z\" target=\"_blank\" rel=\"noopener noreferrer\">Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review<\/a><\/p>\n<p><strong>Authors:<\/strong> Nicolas Voizard, Milena Cerny, Anis Assad, Jean-S\u00e9bastien Billiard, Damien Olivi\u00e9, Pierre Perreault, Ania Kielar, Richard K. G. Do, Takeshi Yokoo, Claude B. Sirlin &amp; An Tang<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The authors of this article review the LR-TR algorithm \u2013 a treatment response algorithm that was developed by LI-RADS with the aim of assisting radiologists with the interpretation and standardization of report treatment response. The authors also consider locoregional therapies for HCC, treatment concepts, and expected posttreatment findings, as well as illustrate LI-RADS treatment response [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":14,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-highlights"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review - Insights into Imaging<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/journals.myesr.org\/insights-imaging\/highlights\/assessment-of-hepatocellular-carcinoma-treatment-response-with-li-rads-a-pictorial-review\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review - Insights into Imaging\" \/>\n<meta property=\"og:description\" content=\"The authors of this article review the LR-TR algorithm \u2013 a treatment response algorithm that was developed by LI-RADS with the aim of assisting radiologists with the interpretation and standardization of report treatment response. 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