Ventilation inhomogeneity in obstructive lung diseases measured by electrical impedance tomography: a simulation study
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Electrical impedance tomography (EIT) has mostly been used in the Intensive Care Unit (ICU) to monitor ventilation distribution but is also promising for the diagnosis in spontaneously breathing patients with obstructive lung diseases. Beside tomographic images, several numerical measures have been proposed to quantitatively assess the lung state. In this study two common measures, the ‘Global Inhomogeneity Index’ and the ‘Coefficient of Variation’ were compared regarding their capability to reflect the severity of lung obstruction. A three-dimensional simulation model was used to simulate obstructed lungs, whereby images were reconstructed on a two-dimensional domain. Simulations revealed that minor obstructions are not adequately recognized in the reconstructed images and that obstruction above and below the electrode plane may result in misleading values of inhomogeneity measures. EIT measurements on several electrode planes are necessary to apply these measures in patients with obstructive lung diseases in a promising manner.
KeywordsElectrical impedance tomography Ventilation inhomogeneity Obstructive lung diseases Simulation study
This work has been partially supported by the Federal Ministry of Education and Research (BMBF) under Grant No. 03FH038I3 (MOSES).
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Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
This article does not contain any studies with human participant performed by any of the authors.
- 3.Pikkemaat R, et al. Electrical impedance tomography: New diagnostic possibilities using regional time constant maps. Appl Cardiopul P (ACP). 2012;16:212–25.Google Scholar
- 8.Frerichs I, et al. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the Translational EIT development study group. Thorax 2017;72:83–93.Google Scholar
- 10.Zhao Z, et al. The EIT-based global inhomogeneity index is highly correlated with regional lung opening in patients with acute respiratory distress syndrome. BMC Res Notes. 2014;7:82.Google Scholar
- 18.Soleimani M. Computational aspects of low frequency electrical and electromagnetic tomography: a review study. Int J Numer Anal Model. 2008;5(3):407–40.Google Scholar
- 21.Putensen C, Zinserling J, Wrigge H. Electrical impedance tomography for monitoring of regional ventilation in critically III patients. In: Vincent JL, editor. Intensive care medicine. New York, NY: Springer; 2006.Google Scholar
- 22.Adler A, et al. Simple FEMs aren’t as good as we thought: experiences developing EIDORS v3. 3. Proc. Conf. EIT (Hannover, NH, USA), 2008.Google Scholar