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Liver Electrical Impedance Tomography for Early Identification of Fatty Infiltrate in Obesity

Chang, Chih-Chiang and Huang, Zi-Yu and Shih, Shu-Fu and Luo, Yuan and Ko, Arthur and Cui, Qingyu and Cavallero, Susana and Das, Swarna and Thames, Gail and Bui, Alex and Jacobs, Jonathan P. and Pajukanta, Päivi and Wu, Holden and Tai, Yu-Chong and Li, Zhaoping and Hsiai, Tzung K. (2020) Liver Electrical Impedance Tomography for Early Identification of Fatty Infiltrate in Obesity. . (Unpublished)

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Non-alcoholic fatty liver disease (NAFLD) is endemic in developed countries and is one of the most common causes of cardiometabolic diseases in overweight/obese individuals. While liver biopsy or magnetic resonance imaging (MRI) is the current gold standard to diagnose NAFLD, the former is prone to bleeding and the latter is costly. We hereby demonstrated liver electrical impedance tomography (EIT) as a non-invasive and portable detection method for fatty infiltrate. We enrolled 19 subjects (15 females and 4 males; 27 to 74 years old) to undergo liver MRI scans, followed by EIT measurements via a multi-electrode array. The liver MRI scans provided subject-specific a priori knowledge of the liver boundary conditions for segmentation and EIT reconstruction, and the 3-D multi-echo MRI data quantified liver proton-density fat fraction (PDFF%) as a recognized reference standard for validating liver fat infiltrate. Using acquired voltage data and the reconstruction algorithm for the EIT imaging, we computed the absolute conductivity distribution of abdomen in 2-D. Correlation analyses were performed to compare the individual EIT conductivity vs. MRI PDFF with their demographics in terms of gender, BMI (kg·m⁻²), age (years), waist circumference (cm), height (cm), and weight (kg). Our results indicate that EIT conductivity (S·m-1) and liver MRI for PDFF were not correlated with the demographics, whereas the decrease in EIT conductivity was correlated with the increase in MRI PDFF (R = -0.69, p= 0.003). Thus, EIT conductivity holds promise for developing a non-invasive, portable, and quantitative method to detect fatty liver disease.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Tai, Yu-Chong0000-0001-8529-106X
Hsiai, Tzung K.0000-0003-1734-0792
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This version posted December 22, 2020. The authors have declared no competing interest.
Subject Keywords:Fatty Liver, Electrical Impedance Tomography (EIT), Magnetic Resonance Imaging (MRI), proton-density fat fraction (PDFF)
Record Number:CaltechAUTHORS:20201222-143554115
Persistent URL:
Official Citation:Liver Electrical Impedance Tomography for Early Identification of Fatty Infiltrate in Obesity. Chih-Chiang Chang, Zi-Yu Huang, Shu-Fu Shih, Yuan Luo, Arthur Ko, Qingyu Cui, Susana Cavallero, Swarna Das, Gail Thames, Alex Bui, Jonathan P. Jacobs, P&aumlivi Pajukanta, Holden Wu, Yu-Chong Tai, Zhaoping Li, Tzung Hsiai. bioRxiv 2020.12.21.423854; doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107260
Deposited By: Tony Diaz
Deposited On:22 Dec 2020 22:58
Last Modified:22 Dec 2020 22:58

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