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Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions
Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality worldwide, with rising clinical and economic burden as incidence increases. There are a multitude of evolving treatment options, including locoregional therapies which can be used alone, in combination with each other, or i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643220/ https://www.ncbi.nlm.nih.gov/pubmed/33200013 http://dx.doi.org/10.4254/wjh.v12.i10.738 |
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author | Aslam, Anum Do, Richard Kinh Gian Kambadakone, Avinash Spieler, Bradley Miller, Frank H Gabr, Ahmed M Charalel, Resmi A Kim, Charles Y Madoff, David C Mendiratta-Lala, Mishal |
author_facet | Aslam, Anum Do, Richard Kinh Gian Kambadakone, Avinash Spieler, Bradley Miller, Frank H Gabr, Ahmed M Charalel, Resmi A Kim, Charles Y Madoff, David C Mendiratta-Lala, Mishal |
author_sort | Aslam, Anum |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality worldwide, with rising clinical and economic burden as incidence increases. There are a multitude of evolving treatment options, including locoregional therapies which can be used alone, in combination with each other, or in combination with systemic therapy. These treatment options have shown to be effective in achieving remission, controlling tumor progression, improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients. Following locoregional therapy (LRT), it is crucial to provide treatment response assessment to guide management and liver transplant candidacy. Therefore, Liver Imaging Reporting and Data Systems (LI-RADS) Treatment Response Algorithm (TRA) was created to provide a standardized assessment of HCC following LRT. LI-RADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment. In this review, we provide an overview of different locoregional therapies for HCC, describe the expected post treatment imaging appearance following treatment, and review the LI-RADS TRA with guidance for its application in clinical practice. Unique to other publications, we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT. |
format | Online Article Text |
id | pubmed-7643220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-76432202020-11-15 Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions Aslam, Anum Do, Richard Kinh Gian Kambadakone, Avinash Spieler, Bradley Miller, Frank H Gabr, Ahmed M Charalel, Resmi A Kim, Charles Y Madoff, David C Mendiratta-Lala, Mishal World J Hepatol Minireviews Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality worldwide, with rising clinical and economic burden as incidence increases. There are a multitude of evolving treatment options, including locoregional therapies which can be used alone, in combination with each other, or in combination with systemic therapy. These treatment options have shown to be effective in achieving remission, controlling tumor progression, improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients. Following locoregional therapy (LRT), it is crucial to provide treatment response assessment to guide management and liver transplant candidacy. Therefore, Liver Imaging Reporting and Data Systems (LI-RADS) Treatment Response Algorithm (TRA) was created to provide a standardized assessment of HCC following LRT. LI-RADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment. In this review, we provide an overview of different locoregional therapies for HCC, describe the expected post treatment imaging appearance following treatment, and review the LI-RADS TRA with guidance for its application in clinical practice. Unique to other publications, we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT. Baishideng Publishing Group Inc 2020-10-27 2020-10-27 /pmc/articles/PMC7643220/ /pubmed/33200013 http://dx.doi.org/10.4254/wjh.v12.i10.738 Text en ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Minireviews Aslam, Anum Do, Richard Kinh Gian Kambadakone, Avinash Spieler, Bradley Miller, Frank H Gabr, Ahmed M Charalel, Resmi A Kim, Charles Y Madoff, David C Mendiratta-Lala, Mishal Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title | Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title_full | Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title_fullStr | Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title_full_unstemmed | Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title_short | Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions |
title_sort | hepatocellular carcinoma liver imaging reporting and data systems treatment response assessment: lessons learned and future directions |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643220/ https://www.ncbi.nlm.nih.gov/pubmed/33200013 http://dx.doi.org/10.4254/wjh.v12.i10.738 |
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