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Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography
The purpose of this study was to evaluate the accuracy of quantifying hepatic fat fraction (HFF) in nonalcoholic fatty liver disease patients with multimaterial decomposition (MMD) and fat (water)-based material decomposition by single-source dual-energy computed tomography. METHODS: Hepatic fat fra...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834908/ https://www.ncbi.nlm.nih.gov/pubmed/33186174 http://dx.doi.org/10.1097/RCT.0000000000001112 |
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author | Zhang, Qinhe Zhao, Ying Wu, Jingjun Xie, Luhan Chen, Anliang Liu, Yijun Song, Qingwei Li, Jianying Wu, Tingfan Xie, Lizhi Liu, Ailian |
author_facet | Zhang, Qinhe Zhao, Ying Wu, Jingjun Xie, Luhan Chen, Anliang Liu, Yijun Song, Qingwei Li, Jianying Wu, Tingfan Xie, Lizhi Liu, Ailian |
author_sort | Zhang, Qinhe |
collection | PubMed |
description | The purpose of this study was to evaluate the accuracy of quantifying hepatic fat fraction (HFF) in nonalcoholic fatty liver disease patients with multimaterial decomposition (MMD) and fat (water)-based material decomposition by single-source dual-energy computed tomography. METHODS: Hepatic fat fractions were quantified by noncontrast (HFF(non-CE)) and contrast-enhanced single-source dual-energy computed tomography in arterial phase (HFF(AP)), portal venous phase (HFF(PVP)) and equilibrium phase (HFF(EP)) using MMD in 19 nonalcoholic fatty liver disease patients. The fat concentration was measured on fat (water)-based images. As the standard of reference, magnetic resonance iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification images were reconstructed to obtain HFF (HFF(IDEAL-IQ)). RESULTS: There was a strong correlation between HFF(non-CE), HFF(AP), HFF(PVP), HFF(EP), fat concentration and HFF(IDEAL-IQ) (r = 0.943, 0.923, 0.942, 0.952, and 0.726) with HFFs having better correlation with HFF(IDEAL-IQ). Hepatic fat fractions did not significantly differ across scanning phases. The HFFs of 3-phase contrast-enhanced computed tomography had a good consistency with HFF(non-CE). CONCLUSIONS: Hepatic fat fraction using MMD has excellent correlation with that of magnetic resonance imaging, is independent of the computed tomography scanning phases, and may be used as a routine technique for quantitative assessment of HFF. |
format | Online Article Text |
id | pubmed-7834908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-78349082021-02-02 Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography Zhang, Qinhe Zhao, Ying Wu, Jingjun Xie, Luhan Chen, Anliang Liu, Yijun Song, Qingwei Li, Jianying Wu, Tingfan Xie, Lizhi Liu, Ailian J Comput Assist Tomogr Abdominopelvic Imaging: Gastrointestinal The purpose of this study was to evaluate the accuracy of quantifying hepatic fat fraction (HFF) in nonalcoholic fatty liver disease patients with multimaterial decomposition (MMD) and fat (water)-based material decomposition by single-source dual-energy computed tomography. METHODS: Hepatic fat fractions were quantified by noncontrast (HFF(non-CE)) and contrast-enhanced single-source dual-energy computed tomography in arterial phase (HFF(AP)), portal venous phase (HFF(PVP)) and equilibrium phase (HFF(EP)) using MMD in 19 nonalcoholic fatty liver disease patients. The fat concentration was measured on fat (water)-based images. As the standard of reference, magnetic resonance iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification images were reconstructed to obtain HFF (HFF(IDEAL-IQ)). RESULTS: There was a strong correlation between HFF(non-CE), HFF(AP), HFF(PVP), HFF(EP), fat concentration and HFF(IDEAL-IQ) (r = 0.943, 0.923, 0.942, 0.952, and 0.726) with HFFs having better correlation with HFF(IDEAL-IQ). Hepatic fat fractions did not significantly differ across scanning phases. The HFFs of 3-phase contrast-enhanced computed tomography had a good consistency with HFF(non-CE). CONCLUSIONS: Hepatic fat fraction using MMD has excellent correlation with that of magnetic resonance imaging, is independent of the computed tomography scanning phases, and may be used as a routine technique for quantitative assessment of HFF. Lippincott Williams & Wilkins 2021 2020-11-13 /pmc/articles/PMC7834908/ /pubmed/33186174 http://dx.doi.org/10.1097/RCT.0000000000001112 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (http://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Abdominopelvic Imaging: Gastrointestinal Zhang, Qinhe Zhao, Ying Wu, Jingjun Xie, Luhan Chen, Anliang Liu, Yijun Song, Qingwei Li, Jianying Wu, Tingfan Xie, Lizhi Liu, Ailian Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title | Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title_full | Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title_fullStr | Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title_full_unstemmed | Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title_short | Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography |
title_sort | quantification of hepatic fat fraction in patients with nonalcoholic fatty liver disease: comparison of multimaterial decomposition algorithm and fat (water)-based material decomposition algorithm using single-source dual-energy computed tomography |
topic | Abdominopelvic Imaging: Gastrointestinal |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834908/ https://www.ncbi.nlm.nih.gov/pubmed/33186174 http://dx.doi.org/10.1097/RCT.0000000000001112 |
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