Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals.
Adult
Aged
Algorithms
Biomarkers
Biopsy
Body Weights and Measures
Disease Management
Electric Impedance
Fatty Liver
/ diagnostic imaging
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Overweight
/ pathology
Reproducibility of Results
Risk Factors
Sensitivity and Specificity
Tomography
/ methods
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
06 10 2021
06 10 2021
Historique:
received:
01
06
2021
accepted:
16
09
2021
entrez:
7
10
2021
pubmed:
8
10
2021
medline:
31
12
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34615918
doi: 10.1038/s41598-021-99132-z
pii: 10.1038/s41598-021-99132-z
pmc: PMC8494919
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
19859Subventions
Organisme : BLRD VA
ID : I01 BX004356
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL129727
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL118650
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL111437
Pays : United States
Organisme : CSRD VA
ID : IK2 CX001717
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL083015
Pays : United States
Informations de copyright
© 2021. The Author(s).
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