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Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review
Computed tomography (CT) and magnetic resonance imaging (MRI) play critical roles for assessing treatment response of hepatocellular carcinoma (HCC) after locoregional therapy. Interpretation is challenging because posttreatment imaging findings depend on the type of treatment, magnitude of treatmen...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920285/ https://www.ncbi.nlm.nih.gov/pubmed/31853668 http://dx.doi.org/10.1186/s13244-019-0801-z |
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author | Voizard, Nicolas Cerny, Milena Assad, Anis Billiard, Jean-Sébastien Olivié, Damien Perreault, Pierre Kielar, Ania Do, Richard K. G. Yokoo, Takeshi Sirlin, Claude B. Tang, An |
author_facet | Voizard, Nicolas Cerny, Milena Assad, Anis Billiard, Jean-Sébastien Olivié, Damien Perreault, Pierre Kielar, Ania Do, Richard K. G. Yokoo, Takeshi Sirlin, Claude B. Tang, An |
author_sort | Voizard, Nicolas |
collection | PubMed |
description | Computed tomography (CT) and magnetic resonance imaging (MRI) play critical roles for assessing treatment response of hepatocellular carcinoma (HCC) after locoregional therapy. Interpretation is challenging because posttreatment imaging findings depend on the type of treatment, magnitude of treatment response, time interval after treatment, and other factors. To help radiologists interpret and report treatment response in a clear, simple, and standardized manner, the Liver Imaging Reporting and Data System (LI-RADS) has developed a Treatment Response (LR-TR) algorithm. Introduced in 2017, the system provides criteria to categorize response of HCC to locoregional treatment (e.g., chemical ablation, energy-based ablation, transcatheter therapy, and radiation therapy). LR-TR categories include Nonevaluable, Nonviable, Equivocal, and Viable. LR-TR does not apply to patients on systemic therapies. This article reviews the LR-TR algorithm; discusses locoregional therapies for HCC, treatment concepts, and expected posttreatment findings; and illustrates LI-RADS treatment response assessment with CT and MRI. |
format | Online Article Text |
id | pubmed-6920285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-69202852020-01-02 Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review Voizard, Nicolas Cerny, Milena Assad, Anis Billiard, Jean-Sébastien Olivié, Damien Perreault, Pierre Kielar, Ania Do, Richard K. G. Yokoo, Takeshi Sirlin, Claude B. Tang, An Insights Imaging Educational Review Computed tomography (CT) and magnetic resonance imaging (MRI) play critical roles for assessing treatment response of hepatocellular carcinoma (HCC) after locoregional therapy. Interpretation is challenging because posttreatment imaging findings depend on the type of treatment, magnitude of treatment response, time interval after treatment, and other factors. To help radiologists interpret and report treatment response in a clear, simple, and standardized manner, the Liver Imaging Reporting and Data System (LI-RADS) has developed a Treatment Response (LR-TR) algorithm. Introduced in 2017, the system provides criteria to categorize response of HCC to locoregional treatment (e.g., chemical ablation, energy-based ablation, transcatheter therapy, and radiation therapy). LR-TR categories include Nonevaluable, Nonviable, Equivocal, and Viable. LR-TR does not apply to patients on systemic therapies. This article reviews the LR-TR algorithm; discusses locoregional therapies for HCC, treatment concepts, and expected posttreatment findings; and illustrates LI-RADS treatment response assessment with CT and MRI. Springer Berlin Heidelberg 2019-12-18 /pmc/articles/PMC6920285/ /pubmed/31853668 http://dx.doi.org/10.1186/s13244-019-0801-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Educational Review Voizard, Nicolas Cerny, Milena Assad, Anis Billiard, Jean-Sébastien Olivié, Damien Perreault, Pierre Kielar, Ania Do, Richard K. G. Yokoo, Takeshi Sirlin, Claude B. Tang, An Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title | Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title_full | Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title_fullStr | Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title_full_unstemmed | Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title_short | Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review |
title_sort | assessment of hepatocellular carcinoma treatment response with li-rads: a pictorial review |
topic | Educational Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920285/ https://www.ncbi.nlm.nih.gov/pubmed/31853668 http://dx.doi.org/10.1186/s13244-019-0801-z |
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