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Regional lung function determined by electrical impedance tomography in lung-healthy adults

Barbara Vogt, Kathinka Ehlers, Victoria Hennig, Norbert Weiler, Inéz Frerichs
European Respiratory Journal 2016 48: PA3439; DOI: 10.1183/13993003.congress-2016.PA3439
Barbara Vogt
Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Kathinka Ehlers
Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Victoria Hennig
Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Norbert Weiler
Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Inéz Frerichs
Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Abstract

Introduction: Electrical impedance tomography (EIT) is able to determine regional ventilation distribution during PFT. Reliable data on regional lung function in healthy subjects are needed as reference data for correct assessment of regional lung function deterioration in patients with lung diseases.

Methods: We examined 177 allegedly lung-healthy adults (63 non-smokers (48±19 yr, mean age± SD), 68 ex-smokers (55±16)and 46 current smokers (47±15)) using EIT during a forced expiration manoeuvre. EIT data were acquired in one thoracic plane using the Goe-MF II EIT device (CareFusion, Höchberg, Germany) at 33 images/s. In each of the 912 EIT image pixels, we identified the beginning and the end of forced expiration and determined the times needed to expire 50, 75 and 90% of the pixel vital capacities (t50, t75, t90). Next, we calculated the median regional t50, t75, t90 in each subject and created histograms of pixel ventilation distribution in all 3 study groups. Finally, we determined the coefficient of variation (CV) of t50, t75, t90 to characterize the heterogeneity of ventilation.

Results: The frequency distributions of pixel values of t50, t75, t90 showed a significant effect of smoking. The median t90 discriminated the 3 groups (p<0.0001). The histograms changed their shapes in the course of expiration depending on the smoking history; the narrowest histograms' shapes were found in non-smokers. The CV distinguished the non-smokers from the other 2 groups (p<0.0001).

Conclusion: EIT reveals differences in regional ventilation distribution between lung-healthy non-smokers and allegedly lung-healthy smokers and ex-smokers.

  • Lung function testing
  • Imaging
  • Physiology
  • Copyright ©the authors 2016
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Regional lung function determined by electrical impedance tomography in lung-healthy adults
Barbara Vogt, Kathinka Ehlers, Victoria Hennig, Norbert Weiler, Inéz Frerichs
European Respiratory Journal Sep 2016, 48 (suppl 60) PA3439; DOI: 10.1183/13993003.congress-2016.PA3439

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Regional lung function determined by electrical impedance tomography in lung-healthy adults
Barbara Vogt, Kathinka Ehlers, Victoria Hennig, Norbert Weiler, Inéz Frerichs
European Respiratory Journal Sep 2016, 48 (suppl 60) PA3439; DOI: 10.1183/13993003.congress-2016.PA3439
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