Evidence map›Paper›PMID 34615918›Full record

ArticleScientific reports2021

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

Chih-Chiang Chang, Zi-Yu Huang, Shu-Fu Shih, Yuan Luo, Arthur Ko, Qingyu Cui, Jennifer Sumner, Susana Cavallero, Swarna Das, Wei Gao and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 3-Dimensional electrical impedance spectroscopy forSensors and actuators. B, Chemical · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Chih-Chiang Chang *Department of Bioengineering, UCLA, Los Angeles, CA, USA.
Zi-Yu Huang *Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Shu-Fu ShihDepartment of Bioengineering, UCLA, Los Angeles, CA, USA.
Yuan LuoDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Arthur KoDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Qingyu CuiDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jennifer SumnerDepartment of Psychology, College of Life Sciences, UCLA, Los Angeles, CA, USA.
Susana CavalleroDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Swarna DasDepartment of Bioengineering, UCLA, Los Angeles, CA, USA.
Wei GaoDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Janet SinsheimerDepartment of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, USA.
Alex BuiDepartment of Bioengineering, UCLA, Los Angeles, CA, USA.
Jonathan P JacobsDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Päivi PajukantaDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Holden WuDepartment of Bioengineering, UCLA, Los Angeles, CA, USA.
Yu-Chong TaiDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Zhaoping LiDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Tzung K HsiaiDepartment of Bioengineering, UCLA, Los Angeles, CA, USA. Thsiai@mednet.ucla.edu.
University of California, Los Angeles · USCalifornia Institute of Technology · USLa Jolla Bioengineering Institute · US

Funding

Linking Spatial Variations Shear Stress-Oxidative StressR01HL083015 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HSIAI, TZUNG K · 2006 to 2015
$3.9M
Shear Stress and Light-Sheets to Study Cardiac TrabeculationR01HL129727 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2015 to 2024
$3.5M
Electronica Impedance to Access Metabolically Active PlaqueR01HL118650 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K · 2014 to 2022
$3.3M
Micro-Sensors to Study Electrical and Mechanical Coupling of Injured MyocardiumR01HL111437 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HSIAI, TZUNG K, XU, XIAOLEI · 2012 to 2020
$3.1M
Exercise-Induced Shear Stress Modulates Metabolic Pathways for Vascular Repair and ProtectionI01BX004356 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI HSIAI, TZUNG K · 2019 to 2024
–
BLRD VA I01 BX004356CSRD VA IK2 CX001717NHLBI NIH HHS R01 HL083015NHLBI NIH HHS R01 HL111437NHLBI NIH HHS R01 HL118650NHLBI NIH HHS R01 HL129727
6 · The paper itself

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.

Indexed as

Electric ImpedanceAdultAgedAlgorithmsBiomarkersBiopsyBody Weights and MeasuresDisease ManagementFatty LiverFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOverweightBiomarkers

Identifiers

PMID34615918
PMCPMC8494919
OpenAlexW3202723301

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.