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Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals

Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of cardiometabolic diseases in overweight individuals. While liver biopsy is the current gold standard to diagnose NAFLD and magnetic resonance imaging (MRI) is a non-invasive alternative still under clinical trials, the form...

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Autores principales: Chang, Chih-Chiang, Huang, Zi-Yu, Shih, Shu-Fu, Luo, Yuan, Ko, Arthur, Cui, Qingyu, Sumner, Jennifer, Cavallero, Susana, Das, Swarna, Gao, Wei, Sinsheimer, Janet, Bui, Alex, Jacobs, Jonathan P., Pajukanta, Päivi, Wu, Holden, Tai, Yu-Chong, Li, Zhaoping, Hsiai, Tzung K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494919/
https://www.ncbi.nlm.nih.gov/pubmed/34615918
http://dx.doi.org/10.1038/s41598-021-99132-z
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author Chang, Chih-Chiang
Huang, Zi-Yu
Shih, Shu-Fu
Luo, Yuan
Ko, Arthur
Cui, Qingyu
Sumner, Jennifer
Cavallero, Susana
Das, Swarna
Gao, Wei
Sinsheimer, Janet
Bui, Alex
Jacobs, Jonathan P.
Pajukanta, Päivi
Wu, Holden
Tai, Yu-Chong
Li, Zhaoping
Hsiai, Tzung K.
author_facet Chang, Chih-Chiang
Huang, Zi-Yu
Shih, Shu-Fu
Luo, Yuan
Ko, Arthur
Cui, Qingyu
Sumner, Jennifer
Cavallero, Susana
Das, Swarna
Gao, Wei
Sinsheimer, Janet
Bui, Alex
Jacobs, Jonathan P.
Pajukanta, Päivi
Wu, Holden
Tai, Yu-Chong
Li, Zhaoping
Hsiai, Tzung K.
author_sort Chang, Chih-Chiang
collection PubMed
description Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of cardiometabolic diseases in overweight individuals. While liver biopsy is the current gold standard to diagnose NAFLD and magnetic resonance imaging (MRI) is a non-invasive alternative still under clinical trials, the former is invasive and the latter costly. We demonstrate electrical impedance tomography (EIT) as a portable method for detecting fatty infiltrate. We enrolled 19 overweight subjects to undergo liver MRI scans, followed by EIT measurements. The MRI images provided the a priori knowledge of the liver boundary conditions for EIT reconstruction, and the multi-echo MRI data quantified liver proton-density fat fraction (PDFF%) to validate fat infiltrate. Using the EIT electrode belts, we circumferentially injected pairwise current to the upper abdomen, followed by acquiring the resulting surface-voltage to reconstruct the liver conductivity. Pearson’s correlation analyses compared EIT conductivity or MRI PDFF with body mass index, age, waist circumference, height, and weight variables. We reveal that the correlation between liver EIT conductivity or MRI PDFF with demographics is statistically insignificant, whereas liver EIT conductivity is inversely correlated with MRI PDFF (R = −0.69, p = 0.003, n = 16). As a pilot study, EIT conductivity provides a portable method for operator-independent and cost-effective detection of hepatic steatosis.
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spelling pubmed-84949192021-10-08 Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals Chang, Chih-Chiang Huang, Zi-Yu Shih, Shu-Fu Luo, Yuan Ko, Arthur Cui, Qingyu Sumner, Jennifer Cavallero, Susana Das, Swarna Gao, Wei Sinsheimer, Janet Bui, Alex Jacobs, Jonathan P. Pajukanta, Päivi Wu, Holden Tai, Yu-Chong Li, Zhaoping Hsiai, Tzung K. Sci Rep Article Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of cardiometabolic diseases in overweight individuals. While liver biopsy is the current gold standard to diagnose NAFLD and magnetic resonance imaging (MRI) is a non-invasive alternative still under clinical trials, the former is invasive and the latter costly. We demonstrate electrical impedance tomography (EIT) as a portable method for detecting fatty infiltrate. We enrolled 19 overweight subjects to undergo liver MRI scans, followed by EIT measurements. The MRI images provided the a priori knowledge of the liver boundary conditions for EIT reconstruction, and the multi-echo MRI data quantified liver proton-density fat fraction (PDFF%) to validate fat infiltrate. Using the EIT electrode belts, we circumferentially injected pairwise current to the upper abdomen, followed by acquiring the resulting surface-voltage to reconstruct the liver conductivity. Pearson’s correlation analyses compared EIT conductivity or MRI PDFF with body mass index, age, waist circumference, height, and weight variables. We reveal that the correlation between liver EIT conductivity or MRI PDFF with demographics is statistically insignificant, whereas liver EIT conductivity is inversely correlated with MRI PDFF (R = −0.69, p = 0.003, n = 16). As a pilot study, EIT conductivity provides a portable method for operator-independent and cost-effective detection of hepatic steatosis. Nature Publishing Group UK 2021-10-06 /pmc/articles/PMC8494919/ /pubmed/34615918 http://dx.doi.org/10.1038/s41598-021-99132-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Chang, Chih-Chiang
Huang, Zi-Yu
Shih, Shu-Fu
Luo, Yuan
Ko, Arthur
Cui, Qingyu
Sumner, Jennifer
Cavallero, Susana
Das, Swarna
Gao, Wei
Sinsheimer, Janet
Bui, Alex
Jacobs, Jonathan P.
Pajukanta, Päivi
Wu, Holden
Tai, Yu-Chong
Li, Zhaoping
Hsiai, Tzung K.
Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title_full Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title_fullStr Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title_full_unstemmed Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title_short Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
title_sort electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494919/
https://www.ncbi.nlm.nih.gov/pubmed/34615918
http://dx.doi.org/10.1038/s41598-021-99132-z
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