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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...

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Autores principales: Zhang, Qinhe, Zhao, Ying, Wu, Jingjun, Xie, Luhan, Chen, Anliang, Liu, Yijun, Song, Qingwei, Li, Jianying, Wu, Tingfan, Xie, Lizhi, Liu, Ailian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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.
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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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