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Liver Fibrosis Quantification by Magnetic Resonance Imaging

Liver fibrosis is a hallmark of chronic liver disease characterized by the excessive accumulation of extracellular matrix proteins. Although liver biopsy is the reference standard for diagnosis and staging of liver fibrosis, it has some limitations, including potential pain, sampling variability, an...

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Autores principales: Petitclerc, Léonie, Gilbert, Guillaume, Nguyen, Bich N., Tang, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708719/
https://www.ncbi.nlm.nih.gov/pubmed/28858038
http://dx.doi.org/10.1097/RMR.0000000000000149
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author Petitclerc, Léonie
Gilbert, Guillaume
Nguyen, Bich N.
Tang, An
author_facet Petitclerc, Léonie
Gilbert, Guillaume
Nguyen, Bich N.
Tang, An
author_sort Petitclerc, Léonie
collection PubMed
description Liver fibrosis is a hallmark of chronic liver disease characterized by the excessive accumulation of extracellular matrix proteins. Although liver biopsy is the reference standard for diagnosis and staging of liver fibrosis, it has some limitations, including potential pain, sampling variability, and low patient acceptance. Hence, there has been an effort to develop noninvasive imaging techniques for diagnosis, staging, and monitoring of liver fibrosis. Many quantitative techniques have been implemented on magnetic resonance imaging (MRI) for this indication. The most widely validated technique is magnetic resonance elastography, which aims to measure viscoelastic properties of the liver and relate them to fibrosis stage. Several additional MRI methods have been developed or adapted to liver fibrosis quantification. Diffusion-weighted imaging measures the Brownian motion of water molecules which is restricted by collagen fibers. Texture analysis assesses the changes in the texture of liver parenchyma associated with fibrosis. Perfusion imaging relies on signal intensity and pharmacokinetic models to extract quantitative perfusion parameters. Hepatocellular function, which decreases with increasing fibrosis stage, can be estimated by the uptake of hepatobiliary contrast agents. Strain imaging measures liver deformation in response to physiological motion such as cardiac contraction. T1ρ quantification is an investigational technique, which measures the spin-lattice relaxation time in the rotating frame. This article will review the MRI techniques used in liver fibrosis staging, their advantages and limitations, and diagnostic performance. We will briefly discuss future directions, such as longitudinal monitoring of disease, prediction of portal hypertension, and risk stratification of hepatocellular carcinoma.
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spelling pubmed-57087192017-12-11 Liver Fibrosis Quantification by Magnetic Resonance Imaging Petitclerc, Léonie Gilbert, Guillaume Nguyen, Bich N. Tang, An Top Magn Reson Imaging Review Articles Liver fibrosis is a hallmark of chronic liver disease characterized by the excessive accumulation of extracellular matrix proteins. Although liver biopsy is the reference standard for diagnosis and staging of liver fibrosis, it has some limitations, including potential pain, sampling variability, and low patient acceptance. Hence, there has been an effort to develop noninvasive imaging techniques for diagnosis, staging, and monitoring of liver fibrosis. Many quantitative techniques have been implemented on magnetic resonance imaging (MRI) for this indication. The most widely validated technique is magnetic resonance elastography, which aims to measure viscoelastic properties of the liver and relate them to fibrosis stage. Several additional MRI methods have been developed or adapted to liver fibrosis quantification. Diffusion-weighted imaging measures the Brownian motion of water molecules which is restricted by collagen fibers. Texture analysis assesses the changes in the texture of liver parenchyma associated with fibrosis. Perfusion imaging relies on signal intensity and pharmacokinetic models to extract quantitative perfusion parameters. Hepatocellular function, which decreases with increasing fibrosis stage, can be estimated by the uptake of hepatobiliary contrast agents. Strain imaging measures liver deformation in response to physiological motion such as cardiac contraction. T1ρ quantification is an investigational technique, which measures the spin-lattice relaxation time in the rotating frame. This article will review the MRI techniques used in liver fibrosis staging, their advantages and limitations, and diagnostic performance. We will briefly discuss future directions, such as longitudinal monitoring of disease, prediction of portal hypertension, and risk stratification of hepatocellular carcinoma. Lippincott Williams & Wilkins 2017-12 2017-08-28 /pmc/articles/PMC5708719/ /pubmed/28858038 http://dx.doi.org/10.1097/RMR.0000000000000149 Text en Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Review Articles
Petitclerc, Léonie
Gilbert, Guillaume
Nguyen, Bich N.
Tang, An
Liver Fibrosis Quantification by Magnetic Resonance Imaging
title Liver Fibrosis Quantification by Magnetic Resonance Imaging
title_full Liver Fibrosis Quantification by Magnetic Resonance Imaging
title_fullStr Liver Fibrosis Quantification by Magnetic Resonance Imaging
title_full_unstemmed Liver Fibrosis Quantification by Magnetic Resonance Imaging
title_short Liver Fibrosis Quantification by Magnetic Resonance Imaging
title_sort liver fibrosis quantification by magnetic resonance imaging
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708719/
https://www.ncbi.nlm.nih.gov/pubmed/28858038
http://dx.doi.org/10.1097/RMR.0000000000000149
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