Literature DB >> 25569469

Methodology of electrical impedance tomography-derived measures of regional lung ventilation.

Inéz Frerichs1, Tobias Becher2, Norbert Weiler3.   

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Year:  2014        PMID: 25569469      PMCID: PMC4520010          DOI: 10.1186/s13054-014-0635-5

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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In the previous issue of Critical Care, we read with interest the article by Blankman and colleagues [1], who studied the performance of various electrical impedance tomography (EIT)-derived measures in detecting the ‘best’ positive end-expiratory pressure. The aim of that study is relevant; however, the article contains some methodological inaccuracies that need to be clarified. One of the EIT measures used to characterize ventilation distribution is the center of ventilation (COV), first introduced in [2]. The authors refer appropriately to an article that contains a methodological figure illustrating how COV is derived from EIT ventilation images [3]. However, the authors incorrectly state that COV is the ratio between the EIT-derived ventilations in the dorsal and whole-image regions, provide a wrong equation 6, and attribute it to [3]. It is important for the understanding of EIT findings to appreciate that Figure one [1] does not show images of ‘impedance’ and the degree of ‘aeration’ (legend) but of tidal impedance differences representing regional tidal volumes. Regional ventilation delay (RVD) was analyzed not in [4], but in [5], where it was calculated in each pixel. A two-dimensional map was produced from these values, and standard deviation was calculated as an aggregate measure of ventilation homogeneity. Equation 3 regarding RVD calculation was used in [5], not in [6], where an additional multiplication by maximum impedance amplitude of the studied low-flow inflation was included. It is not clear which percentages of regional compliance are presented in Figure two B [1]. EIT is currently at an important stage of its development. Its clinical use might be fostered by implementation of accurate analysis tools.
  6 in total

1.  Lung volume recruitment after surfactant administration modifies spatial distribution of ventilation.

Authors:  Inéz Frerichs; Peter A Dargaville; Huibert van Genderingen; Denis R Morel; Peter C Rimensberger
Journal:  Am J Respir Crit Care Med       Date:  2006-07-13       Impact factor: 21.405

2.  Tidal recruitment assessed by electrical impedance tomography and computed tomography in a porcine model of lung injury*.

Authors:  Thomas Muders; Henning Luepschen; Jörg Zinserling; Susanne Greschus; Rolf Fimmers; Ulf Guenther; Miriam Buchwald; Daniel Grigutsch; Steffen Leonhardt; Christian Putensen; Hermann Wrigge
Journal:  Crit Care Med       Date:  2012-03       Impact factor: 7.598

3.  Electrical impedance tomography compared with thoracic computed tomography during a slow inflation maneuver in experimental models of lung injury.

Authors:  Hermann Wrigge; Jörg Zinserling; Thomas Muders; Dirk Varelmann; Ulf Günther; Cornelius von der Groeben; Anders Magnusson; Göran Hedenstierna; Christian Putensen
Journal:  Crit Care Med       Date:  2008-03       Impact factor: 7.598

4.  Monitoring perioperative changes in distribution of pulmonary ventilation by functional electrical impedance tomography.

Authors:  I Frerichs; G Hahn; W Golisch; M Kurpitz; H Burchardi; G Hellige
Journal:  Acta Anaesthesiol Scand       Date:  1998-07       Impact factor: 2.105

5.  PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography.

Authors:  Zhanqi Zhao; Daniel Steinmann; Inéz Frerichs; Josef Guttmann; Knut Möller
Journal:  Crit Care       Date:  2010-01-30       Impact factor: 9.097

6.  Detection of 'best' positive end-expiratory pressure derived from electrical impedance tomography parameters during a decremental positive end-expiratory pressure trial.

Authors:  Paul Blankman; Djo Hasan; Groot Erik; Diederik Gommers
Journal:  Crit Care       Date:  2014-05-10       Impact factor: 9.097

  6 in total

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