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

Abstract 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,...

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Autores principales: Chih-Chiang Chang, Zi-Yu Huang, Shu-Fu Shih, Yuan Luo, Arthur Ko, Qingyu Cui, Jennifer Sumner, Susana Cavallero, Swarna Das, Wei Gao, Janet Sinsheimer, Alex Bui, Jonathan P. Jacobs, Päivi Pajukanta, Holden Wu, Yu-Chong Tai, Zhaoping Li, Tzung K. Hsiai
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/0f810a265e014162b2a736b08b17da1c
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spelling oai:doaj.org-article:0f810a265e014162b2a736b08b17da1c2021-12-02T19:16:14ZElectrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals10.1038/s41598-021-99132-z2045-2322https://doaj.org/article/0f810a265e014162b2a736b08b17da1c2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99132-zhttps://doaj.org/toc/2045-2322Abstract 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.Chih-Chiang ChangZi-Yu HuangShu-Fu ShihYuan LuoArthur KoQingyu CuiJennifer SumnerSusana CavalleroSwarna DasWei GaoJanet SinsheimerAlex BuiJonathan P. JacobsPäivi PajukantaHolden WuYu-Chong TaiZhaoping LiTzung K. HsiaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Chih-Chiang Chang
Zi-Yu Huang
Shu-Fu Shih
Yuan Luo
Arthur Ko
Qingyu Cui
Jennifer Sumner
Susana Cavallero
Swarna Das
Wei Gao
Janet Sinsheimer
Alex Bui
Jonathan P. Jacobs
Päivi Pajukanta
Holden Wu
Yu-Chong Tai
Zhaoping Li
Tzung K. Hsiai
Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
description Abstract 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.
format article
author Chih-Chiang Chang
Zi-Yu Huang
Shu-Fu Shih
Yuan Luo
Arthur Ko
Qingyu Cui
Jennifer Sumner
Susana Cavallero
Swarna Das
Wei Gao
Janet Sinsheimer
Alex Bui
Jonathan P. Jacobs
Päivi Pajukanta
Holden Wu
Yu-Chong Tai
Zhaoping Li
Tzung K. Hsiai
author_facet Chih-Chiang Chang
Zi-Yu Huang
Shu-Fu Shih
Yuan Luo
Arthur Ko
Qingyu Cui
Jennifer Sumner
Susana Cavallero
Swarna Das
Wei Gao
Janet Sinsheimer
Alex Bui
Jonathan P. Jacobs
Päivi Pajukanta
Holden Wu
Yu-Chong Tai
Zhaoping Li
Tzung K. Hsiai
author_sort Chih-Chiang Chang
title 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_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_sort electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/0f810a265e014162b2a736b08b17da1c
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