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Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation
ABSTRACT: Hepatocellular carcinoma (HCC) accounts for the vast majority of primary liver cancer and constitutes a major global health challenge. Tumor ablation with either radiofrequency ablation (RFA) or microwave ablation (MWA) is recommended as a curative-intent treatment for early-stage HCC. Giv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185719/ https://www.ncbi.nlm.nih.gov/pubmed/37188987 http://dx.doi.org/10.1186/s13244-023-01440-7 |
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author | Zhang, Yun Wei, Hong Song, Bin |
author_facet | Zhang, Yun Wei, Hong Song, Bin |
author_sort | Zhang, Yun |
collection | PubMed |
description | ABSTRACT: Hepatocellular carcinoma (HCC) accounts for the vast majority of primary liver cancer and constitutes a major global health challenge. Tumor ablation with either radiofrequency ablation (RFA) or microwave ablation (MWA) is recommended as a curative-intent treatment for early-stage HCC. Given the widespread use of thermal ablation in routine clinical practice, accurate evaluation of treatment response and patient outcomes has become crucial in optimizing individualized management strategies. Noninvasive imaging occupies the central role in the routine management of patients with HCC. Magnetic resonance imaging (MRI) could provide full wealth of information with respect to tumor morphology, hemodynamics, function and metabolism. With accumulation of liver MR imaging data, radiomics analysis has been increasingly applied to capture tumor heterogeneity and provide prognostication by extracting high-throughput quantitative imaging features from digital medical images. Emerging evidence suggests the potential role of several qualitative, quantitative and radiomic MRI features in prediction of treatment response and patient prognosis after ablation of HCC. Understanding the advancements of MRI in the evaluation of ablated HCCs may facilitate optimal patient care and improved outcomes. This review provides an overview of the emerging role of MRI in treatment response evaluation and prognostication of HCC patients undergoing ablation. CLINICAL RELEVANCE STATEMENT: MRI-based parameters can help predict treatment response and patient prognosis after HCC ablation and thus guide treatment planning. KEY POINTS: 1. ECA-MRI provides morphological and hemodynamic assessment of ablated HCC. 2. EOB-MRI provides more information for tumor response prediction after ablation. 3. DWI improve the characterization of HCC and optimize treatment decision. 4. Radiomics analysis enables characterization of tumor heterogeneity guidance of clinical decision-making. 5. Further studies with multiple radiologists and sufficient follow-up period are needed. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-10185719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-101857192023-05-17 Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation Zhang, Yun Wei, Hong Song, Bin Insights Imaging Critical Review ABSTRACT: Hepatocellular carcinoma (HCC) accounts for the vast majority of primary liver cancer and constitutes a major global health challenge. Tumor ablation with either radiofrequency ablation (RFA) or microwave ablation (MWA) is recommended as a curative-intent treatment for early-stage HCC. Given the widespread use of thermal ablation in routine clinical practice, accurate evaluation of treatment response and patient outcomes has become crucial in optimizing individualized management strategies. Noninvasive imaging occupies the central role in the routine management of patients with HCC. Magnetic resonance imaging (MRI) could provide full wealth of information with respect to tumor morphology, hemodynamics, function and metabolism. With accumulation of liver MR imaging data, radiomics analysis has been increasingly applied to capture tumor heterogeneity and provide prognostication by extracting high-throughput quantitative imaging features from digital medical images. Emerging evidence suggests the potential role of several qualitative, quantitative and radiomic MRI features in prediction of treatment response and patient prognosis after ablation of HCC. Understanding the advancements of MRI in the evaluation of ablated HCCs may facilitate optimal patient care and improved outcomes. This review provides an overview of the emerging role of MRI in treatment response evaluation and prognostication of HCC patients undergoing ablation. CLINICAL RELEVANCE STATEMENT: MRI-based parameters can help predict treatment response and patient prognosis after HCC ablation and thus guide treatment planning. KEY POINTS: 1. ECA-MRI provides morphological and hemodynamic assessment of ablated HCC. 2. EOB-MRI provides more information for tumor response prediction after ablation. 3. DWI improve the characterization of HCC and optimize treatment decision. 4. Radiomics analysis enables characterization of tumor heterogeneity guidance of clinical decision-making. 5. Further studies with multiple radiologists and sufficient follow-up period are needed. GRAPHICAL ABSTRACT: [Image: see text] Springer Vienna 2023-05-16 /pmc/articles/PMC10185719/ /pubmed/37188987 http://dx.doi.org/10.1186/s13244-023-01440-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Critical Review Zhang, Yun Wei, Hong Song, Bin Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title | Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title_full | Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title_fullStr | Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title_full_unstemmed | Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title_short | Magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
title_sort | magnetic resonance imaging for treatment response evaluation and prognostication of hepatocellular carcinoma after thermal ablation |
topic | Critical Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185719/ https://www.ncbi.nlm.nih.gov/pubmed/37188987 http://dx.doi.org/10.1186/s13244-023-01440-7 |
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