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Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing

Nonalcoholic fatty liver disease (NAFLD) is a growing health problem, and a major challenge in NAFLD management is identifying which patients are at risk of progression to more serious disease. Simple measurements of liver fat content are not strong predictors of clinical outcome, but biomarkers rel...

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Autores principales: Rioux, James A., Hewlett, Miriam, Davis, Christa, Bowen, Chris V., Brewer, Kimberly, Clarke, Sharon E., Beyea, Steven D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244113/
https://www.ncbi.nlm.nih.gov/pubmed/31898379
http://dx.doi.org/10.1002/nbm.4241
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author Rioux, James A.
Hewlett, Miriam
Davis, Christa
Bowen, Chris V.
Brewer, Kimberly
Clarke, Sharon E.
Beyea, Steven D.
author_facet Rioux, James A.
Hewlett, Miriam
Davis, Christa
Bowen, Chris V.
Brewer, Kimberly
Clarke, Sharon E.
Beyea, Steven D.
author_sort Rioux, James A.
collection PubMed
description Nonalcoholic fatty liver disease (NAFLD) is a growing health problem, and a major challenge in NAFLD management is identifying which patients are at risk of progression to more serious disease. Simple measurements of liver fat content are not strong predictors of clinical outcome, but biomarkers related to fatty acid composition (ie, saturated vs. unsaturated fat) may be more effective. MR spectroscopic imaging (MRSI) methods allow spatially resolved, whole‐liver measurements of chemical composition but are traditionally limited by slow acquisition times. In this work we present an accelerated MRSI acquisition based on spin echo single point imaging (SE‐SPI), which, using appropriate sampling and compressed sensing reconstruction, allows free‐breathing acquisition in a mouse model of fatty liver disease. After validating the technique's performance in oil/water phantoms, we imaged mice that had received a normal diet or a methionine and choline deficient (MCD) diet, some of which also received supplemental injections of iron to mimic hepatic iron overload. SE‐SPI was more resistant to the line‐broadening effects of iron than single‐voxel spectroscopy measurements, and was consistently able to measure the amplitudes of low‐intensity spectral peaks that are important to characterizing fatty acid composition. In particular, in the mice receiving the MCD diet, SE‐SPI showed a significant decrease in a metric associated with unsaturated fat, which is consistent with the literature. This or other related metrics may therefore offer more a specific biomarker of liver health than fat content alone. This preclinical study is an important precursor to clinical testing of the proposed method. MR‐based quantification of fatty acid composition may allow for improved characterization of non‐alcoholic fatty liver disease. A spectroscopic imaging method with appropriate sampling strategy allows whole‐liver mapping of fat composition metrics in a free‐breathing mouse model. Changes in metrics like the surrogate unsaturation index (UIs) are visible in mice receiving a diet which induces fat accumulation in the liver, as compared to a normal diet; such metrics may prove useful in future clinical studies of liver disease.
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spelling pubmed-82441132021-07-02 Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing Rioux, James A. Hewlett, Miriam Davis, Christa Bowen, Chris V. Brewer, Kimberly Clarke, Sharon E. Beyea, Steven D. NMR Biomed Special Issue Research Articles Nonalcoholic fatty liver disease (NAFLD) is a growing health problem, and a major challenge in NAFLD management is identifying which patients are at risk of progression to more serious disease. Simple measurements of liver fat content are not strong predictors of clinical outcome, but biomarkers related to fatty acid composition (ie, saturated vs. unsaturated fat) may be more effective. MR spectroscopic imaging (MRSI) methods allow spatially resolved, whole‐liver measurements of chemical composition but are traditionally limited by slow acquisition times. In this work we present an accelerated MRSI acquisition based on spin echo single point imaging (SE‐SPI), which, using appropriate sampling and compressed sensing reconstruction, allows free‐breathing acquisition in a mouse model of fatty liver disease. After validating the technique's performance in oil/water phantoms, we imaged mice that had received a normal diet or a methionine and choline deficient (MCD) diet, some of which also received supplemental injections of iron to mimic hepatic iron overload. SE‐SPI was more resistant to the line‐broadening effects of iron than single‐voxel spectroscopy measurements, and was consistently able to measure the amplitudes of low‐intensity spectral peaks that are important to characterizing fatty acid composition. In particular, in the mice receiving the MCD diet, SE‐SPI showed a significant decrease in a metric associated with unsaturated fat, which is consistent with the literature. This or other related metrics may therefore offer more a specific biomarker of liver health than fat content alone. This preclinical study is an important precursor to clinical testing of the proposed method. MR‐based quantification of fatty acid composition may allow for improved characterization of non‐alcoholic fatty liver disease. A spectroscopic imaging method with appropriate sampling strategy allows whole‐liver mapping of fat composition metrics in a free‐breathing mouse model. Changes in metrics like the surrogate unsaturation index (UIs) are visible in mice receiving a diet which induces fat accumulation in the liver, as compared to a normal diet; such metrics may prove useful in future clinical studies of liver disease. John Wiley and Sons Inc. 2020-01-03 2021-05 /pmc/articles/PMC8244113/ /pubmed/31898379 http://dx.doi.org/10.1002/nbm.4241 Text en © 2020 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Issue Research Articles
Rioux, James A.
Hewlett, Miriam
Davis, Christa
Bowen, Chris V.
Brewer, Kimberly
Clarke, Sharon E.
Beyea, Steven D.
Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title_full Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title_fullStr Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title_full_unstemmed Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title_short Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing
title_sort mapping of fatty acid composition with free‐breathing mr spectroscopic imaging and compressed sensing
topic Special Issue Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244113/
https://www.ncbi.nlm.nih.gov/pubmed/31898379
http://dx.doi.org/10.1002/nbm.4241
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