Literature DB >> 19147986

Assessment of changes in distribution of lung perfusion by electrical impedance tomography.

Inéz Frerichs1, Sven Pulletz, Gunnar Elke, Florian Reifferscheid, Dirk Schadler, Jens Scholz, Norbert Weiler.   

Abstract

BACKGROUND: Electrical impedance tomography (EIT) is able to detect variations in regional lung electrical impedance associated with changes in both air and blood content and potentially capable of assessing regional ventilation-perfusion relationships. However, regional lung perfusion is difficult to determine because the impedance changes synchronous with the heart rate are of very small amplitude.
OBJECTIVES: The aim of our study was to determine the redistribution of lung perfusion elicited by one-lung ventilation using EIT with a novel region-of-interest analysis.
METHODS: Ten patients (65 +/- 9 years, mean age +/- SD) scheduled for elective chest surgery were studied after intubation with a double-lumen endotracheal tube during bilateral and unilateral ventilation of the right and left lungs. EIT data were acquired at a rate of 25 scans/s. Relative impedance changes synchronous with the heart rate were evaluated in the right and left lung regions.
RESULTS: During bilateral ventilation, the mean right-to-left lung ratio of the sum of heart rate-related impedance changes was 1.12 +/- 0.20, but the ratio significantly changed (0.81 +/- 0.16 and 1.48 +/- 0.37) during unilateral left- and right-lung ventilation with reduced perfusion of the non-ventilated lung. Increased perfusion most likely occurred in the ventilated lung because the impedance values summed over both regions did not change (0.62 +/- 0.23 vs. 0.58 +/- 0.22) compared with bilateral ventilation.
CONCLUSIONS: Our results indicate that redistribution of regional lung perfusion can be assessed by EIT during one-lung ventilation. The performance of EIT in detecting changes in lung perfusion in even smaller lung regions remains to be established. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19147986     DOI: 10.1159/000193994

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  20 in total

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Authors:  Martin Proença; Fabian Braun; Josep Solà; Jean-Philippe Thiran; Mathieu Lemay
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4.  Evaluation of surrogate measures of pulmonary function derived from electrical impedance tomography data in children with cystic fibrosis.

Authors:  Peter A Muller; Jennifer L Mueller; Michelle Mellenthin; Rashmi Murthy; Michael Capps; Brandie D Wagner; Melody Alsaker; Robin Deterding; Scott D Sagel; Jordana Hoppe
Journal:  Physiol Meas       Date:  2018-04-26       Impact factor: 2.833

5.  Regional distribution of blood volume within the preterm infant thorax during synchronised mechanical ventilation.

Authors:  Hazel R Carlisle; Ruth K Armstrong; Peter G Davis; Andreas Schibler; Inéz Frerichs; David G Tingay
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6.  DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY.

Authors:  Melody Alsaker; Jennifer L Mueller; Rashmi Murthy
Journal:  J Comput Appl Math       Date:  2018-08-13       Impact factor: 2.621

7.  Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT.

Authors:  M G Crabb; J L Davidson; R Little; P Wright; A R Morgan; C A Miller; J H Naish; G J M Parker; R Kikinis; H McCann; W R B Lionheart
Journal:  Physiol Meas       Date:  2014-04-08       Impact factor: 2.833

8.  Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.

Authors:  Michael Capps; Jennifer L Mueller
Journal:  IEEE Trans Biomed Eng       Date:  2021-02-18       Impact factor: 4.538

9.  Measurement of ventilation and cardiac related impedance changes with electrical impedance tomography.

Authors:  Caroline A Grant; Trang Pham; Judith Hough; Thomas Riedel; Christian Stocker; Andreas Schibler
Journal:  Crit Care       Date:  2011-01-25       Impact factor: 9.097

10.  Ventilation distribution in rats: Part I--The effect of gas composition as measured with electrical impedance tomography.

Authors:  Kimble R Dunster; Marlies Friese; John F Fraser; Gary J Cowin; Andreas Schibler
Journal:  Biomed Eng Online       Date:  2012-09-04       Impact factor: 2.819

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