Literature DB >> 19741471

A rapid and reliable means of assessing hepatic steatosis in vivo via electrical bioimpedance.

Amelia J Hessheimer1, Damià Parramón, Anton Guimerà, Ivan Erill, Antoni Rimola, Juan C García-Valdecasas, Rosa Villa, Constantino Fondevila.   

Abstract

BACKGROUND: In liver transplantation, macrovesicular steatosis is a major determinant of graft outcome. Visual assessment of steatosis by the donor surgeon is highly inaccurate, whereas hepatic biopsy is user dependent and cumbersome. Our objective was to validate a novel bioelectrical impedance sensor as a means of objectively quantifying macrovesicular hepatic steatosis and to correlate the results with another surrogate measure of macrosteatosis, hepatic microcirculation.
METHODS: Fatty (n=36) and lean (n=18) male Zucker rats, 250 to 450 g, were used to achieve varying degrees of steatosis. After a bilateral subcostal incision, hepatic microcirculation was measured using laser Doppler microflowmetry. Low-frequency bioelectrical impedance (LF-BEI) was measured at 1 kHz using a custom-made sensor and instrumentation system. Complete hepatectomy was performed. Hepatic tissue was preserved and stained with hematoxylin-eosin for histology. RESULTS AND
CONCLUSION: Both microflow and LF-BEI correlated well with macrosteatosis and each other: Pearson correlation coefficients -0.71, 0.73, and -0.81, respectively. Livers were grouped according to the degree of macrosteatosis: mild (<30%), moderate (30%-60%), and severe (>60%). Both LF-BEI and microflow varied significantly among groups on one-way analysis of variance, although only LF-BEI was capable of discriminating between mild and moderate macrosteatosis on post hoc analysis. Regarding their individual capacities to detect the presence of severe macrosteatosis, both tests were excellent classifiers: receiver operating curve area under the curve 0.885 and 0.9 for LF-BEI and microflow, respectively. However, the bioimpedance apparatus is more rapid and less susceptible to local factors and background noise and could more easily be used in the clinical liver transplantation setting.

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Year:  2009        PMID: 19741471     DOI: 10.1097/TP.0b013e3181b391c0

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  4 in total

1.  Shear wave dispersion measures liver steatosis.

Authors:  Christopher T Barry; Bradley Mills; Zaegyoo Hah; Robert A Mooney; Charlotte K Ryan; Deborah J Rubens; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2011-12-16       Impact factor: 2.998

2.  A Simple Rapid Method for Measuring Liver Steatosis Using Bioelectrical Impedance.

Authors:  Tomoko Yoshimoto-Haramura; Takanobu Hara; Akihiko Soyama; Tota Kugiyama; Hajime Matsushima; Kunihito Matsuguma; Hajime Imamura; Takayuki Tanaka; Tomohiko Adachi; Masaaki Hidaka; Shuichi Okabe; Masakazu Murata; Susumu Eguchi
Journal:  In Vivo       Date:  2022 Mar-Apr       Impact factor: 2.155

3.  Multiparametric ultrasound imaging for the assessment of normal versus steatotic livers.

Authors:  Lokesh Basavarajappa; Jihye Baek; Shreya Reddy; Jane Song; Haowei Tai; Girdhari Rijal; Kevin J Parker; Kenneth Hoyt
Journal:  Sci Rep       Date:  2021-01-29       Impact factor: 4.379

4.  Non-Invasive Electrical Impedance Tomography for Multi-Scale Detection of Liver Fat Content.

Authors:  Yuan Luo; Parinaz Abiri; Shell Zhang; Chih-Chiang Chang; Amir H Kaboodrangi; Rongsong Li; Ashish K Sahib; Alex Bui; Rajesh Kumar; Mary Woo; Zhaoping Li; René R Sevag Packard; Yu-Chong Tai; Tzung K Hsiai
Journal:  Theranostics       Date:  2018-02-08       Impact factor: 11.556

  4 in total

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