Electrical impedance tomography is feasible to assess regional ventilation abnormalities in post-COVID-19 outpatients

Abstract Individuals with post-COVID-19 syndrome (PCS) frequently experience subjective dyspnea, while conventional diagnostic methods often fail to detect underlying abnormalities. Electrical impedance tomography (EIT) is a non-invasive imaging modality that enables dynamic real-time assessment of regional lung ventilation. This study aimed to determine whether EIT-derived ventilation abnormalities are associated with PCS and with self-reported dyspnea among patients with PCS. In this prospective, observational study, we included 100 spontaneously breathing patients and 50 healthy controls. Visual qualitative and MATLAB-derived quantitative EIT parameters were developed and investigated in logistic regression modelling. Patients were more likely to exhibit uneven ventilation distribution (adjusted OR [95% CI], 4.71 [1.66, 13.41]), non-ventilated areas (16.05 [6.42, 40.13]), concave lung rim (7.53 [3.31, 17.15]) and conspicuous lung appearance (5.25 [2.31, 11.90]) than healthy controls. Counter ventilation (95th percentile) (0.87 [(0.76, 0.99]) and RVD SD (0.86 [0.80, 0.92]) were decreased, while RVD (1.08 [1.02, 1.15]) and ventilation asynchrony (SD) (1.35 [1.01, 1.82]) were increased. In PCS subgroup, no statistically significant association with subjective dyspnea was identified. Patients with PCS frequently exhibit EIT-detectable regional ventilation abnormalities, highlighting EIT’s potential as a non-invasive diagnostic tool for assessing regional lung ventilation. These findings warrant further validation in longitudinal studies.

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Publication Details

Journal
Scientific Reports
Published
2026-09-16
DOI
https://doi.org/10.1038/s41598-026-70876-w
Primary Topic
Respiratory Support and Mechanisms
Type
article
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article

Electrical impedance tomography is feasible to assess regional ventilation abnormalities in post-COVID-19 outpatients

Katrin Katzer, Yvonne Gremme, Philipp A. Reuken, Jan-Christoph Lewejohann et al.
Scientific Reports
Respiratory Support and Mechanisms
article

Electrical impedance tomography is feasible to assess regional ventilation abnormalities in post-COVID-19 outpatients

Katrin Katzer, Yvonne Gremme, Philipp A. Reuken, Jan-Christoph Lewejohann, Miriam Kesselmeier, Andreas Stallmach, Tim Lewejohann
article en

Abstract

Abstract Individuals with post-COVID-19 syndrome (PCS) frequently experience subjective dyspnea, while conventional diagnostic methods often fail to detect underlying abnormalities. Electrical impedance tomography (EIT) is a non-invasive imaging modality that enables dynamic real-time assessment of regional lung ventilation. This study aimed to determine whether EIT-derived ventilation abnormalities are associated with PCS and with self-reported dyspnea among patients with PCS. In this prospective, observational study, we included 100 spontaneously breathing patients and 50 healthy controls. Visual qualitative and MATLAB-derived quantitative EIT parameters were developed and investigated in logistic regression modelling. Patients were more likely to exhibit uneven ventilation distribution (adjusted OR [95% CI], 4.71 [1.66, 13.41]), non-ventilated areas (16.05 [6.42, 40.13]), concave lung rim (7.53 [3.31, 17.15]) and conspicuous lung appearance (5.25 [2.31, 11.90]) than healthy controls. Counter ventilation (95th percentile) (0.87 [(0.76, 0.99]) and RVD SD (0.86 [0.80, 0.92]) were decreased, while RVD (1.08 [1.02, 1.15]) and ventilation asynchrony (SD) (1.35 [1.01, 1.82]) were increased. In PCS subgroup, no statistically significant association with subjective dyspnea was identified. Patients with PCS frequently exhibit EIT-detectable regional ventilation abnormalities, highlighting EIT’s potential as a non-invasive diagnostic tool for assessing regional lung ventilation. These findings warrant further validation in longitudinal studies.

Scientific ReportsVol. 16(1)
Jena University Hospital (DE), Friedrich Schiller University Jena (DE), University of Lübeck (DE)
Good health and well-being
Openalex Percentile: Top 11%
Respiratory Support and Mechanisms
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