Literature DB >> 9626690

Pulmonary perfusion measured by means of electrical impedance tomography.

A Vonk Noordegraaf1, P W Kunst, A Janse, J T Marcus, P E Postmus, T J Faes, P M de Vries.   

Abstract

Electrical impedance tomography (EIT) is a recent imaging technique based on electrical impedance, offering the possibility of measuring pulmonary perfusion. In the present study the influence of several pulmonary haemodynamical parameters on the EIT signal were investigated. First, the influence on the systolic wave of the EIT signal (delta Zsys) of stroke volume, large pulmonary artery distensibility (both assessed by means of MRI) and the extent of the pulmonary peripheral vascular bed in 11 emphysematous patients (reduced peripheral vascular bed) and 9 controls (normal peripheral vascular bed) was investigated. Second, the influence of hypoxic pulmonary vasoconstriction on delta Zsys was examined in 14 healthy subjects. Finally, the origin of the diastolic wave was examined in three patients with atrioventricular dissociation. Multiple regression analysis showed that delta Zsys was only dependent on the variable emphysema (p < 0.02), but not dependent on stroke volume (p < 0.3) or pulmonary artery distensibility (p > 0.9). The mean value of delta Zsys for emphysematous patients (131 +/- 32 arbitrary units (AU)) was significantly lower (p < 0.001) than in the control group (200 +/- 39). In the group of healthy subjects delta Zsys decreased significantly (p < 0.001) during hypoxia (193 +/- 38 AU) compared with rest measurements (260 +/- 62 AU). The absence of the diastolic wave in the cardiological patients suggests the influence of reverse venous blood flow on the EIT signal. It is concluded that volume changes in the small pulmonary vessels contribute significantly to the EIT signal. Moreover, the hypoxia induced decrease in delta Zsys indicates the potential of EIT for measuring pulmonary vascular responses to external stimuli.

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Year:  1998        PMID: 9626690     DOI: 10.1088/0967-3334/19/2/013

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 in total

1.  Determinants of pulmonary perfusion measured by electrical impedance tomography.

Authors:  Henk J Smit; Anton Vonk Noordegraaf; J Tim Marcus; Anco Boonstra; Peter M de Vries; Pieter E Postmus
Journal:  Eur J Appl Physiol       Date:  2004-02-21       Impact factor: 3.078

2.  Imaging cardiac activity by the D-bar method for electrical impedance tomography.

Authors:  D Isaacson; J L Mueller; J C Newell; S Siltanen
Journal:  Physiol Meas       Date:  2006-04-18       Impact factor: 2.833

Review 3.  Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring?

Authors:  Steffen Leonhardt; Burkhard Lachmann
Journal:  Intensive Care Med       Date:  2012-09-20       Impact factor: 17.440

4.  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
Journal:  Intensive Care Med       Date:  2010-09-21       Impact factor: 17.440

5.  Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam CT imaging.

Authors:  Inéz Frerichs; José Hinz; Peter Herrmann; Gerald Weisser; Günter Hahn; Michael Quintel; Gerhard Hellige
Journal:  IEEE Trans Med Imaging       Date:  2002-06       Impact factor: 10.048

6.  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

7.  Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group.

Authors:  Inéz Frerichs; Marcelo B P Amato; Anton H van Kaam; David G Tingay; Zhanqi Zhao; Bartłomiej Grychtol; Marc Bodenstein; Hervé Gagnon; Stephan H Böhm; Eckhard Teschner; Ola Stenqvist; Tommaso Mauri; Vinicius Torsani; Luigi Camporota; Andreas Schibler; Gerhard K Wolf; Diederik Gommers; Steffen Leonhardt; Andy Adler
Journal:  Thorax       Date:  2016-09-05       Impact factor: 9.139

Review 8.  Electrical Impedance Tomography for Cardio-Pulmonary Monitoring.

Authors:  Christian Putensen; Benjamin Hentze; Stefan Muenster; Thomas Muders
Journal:  J Clin Med       Date:  2019-08-07       Impact factor: 4.241

9.  Effect of Electrode Belt and Body Positions on Regional Pulmonary Ventilation- and Perfusion-Related Impedance Changes Measured by Electric Impedance Tomography.

Authors:  Elin Ericsson; Erik Tesselaar; Folke Sjöberg
Journal:  PLoS One       Date:  2016-06-02       Impact factor: 3.240

  9 in total

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