ArticlePhysiological measurement2018
Estimating regions of air trapping from electrical impedance tomography data.
Article in Physiological measurement, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Feasibility of Electric Impedance Tomography in the Assessment of Lung Perfusion and Ventilation in Congenital Pulmonary Vein Stenosis.Pediatric cardiology · 2026Article
- Electrical Impedance Tomography Use in Neonatal and Pediatrics Patients: A Narrative Review.Health science reports · 2025Article
- Time of Flight Transmission Mode Ultrasound Computed Tomography With Expected Gradient and Boundary Optimization.IEEE transactions on bio-medical engineering · 2025Article
- Simultaneous Acquisition of EIT and ECG Signals on Active EIT Electrodes.IEEE transactions on bio-medical engineering · 2025Article
- Evaluation of lung function in a German single center cohort of young patients with sickle cell disease using EIT and standard techniques.Frontiers in medicine · 2023Article
- Improved resolution of D-bar images of ventilation using a Schur complement property and an anatomical atlas.Medical physics · 2022Article
- Air Trapping versus Atelectasis in Obesity: Relationship to Late-Onset Nonallergic Asthma and Aging.Annals of the American Thoracic Society · 2022Article
- 3D ELECTRICAL IMPEDANCE TOMOGRAPHY RECONSTRUCTIONS FROM SIMULATED ELECTRODE DATA USING DIRECT INVERSION tInverse problems and imaging (Springfield, Mo.) · 2021Article
- Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.IEEE transactions on bio-medical engineering · 2021Article
- A narrative review of electrical impedance tomography in lung diseases with flow limitation and hyperinflation: methodologies and applications.Annals of translational medicine · 2020Review
- Introduction of Sample Based Prior into the D-Bar Method Through a Schur Complement Property.IEEE transactions on medical imaging · 2020Article
- The D-bar method for electrical impedance tomography-demystified.Inverse problems · 2020Article
- A Review of Electrical Impedance Tomography in Lung Applications: Theory and Algorithms for Absolute Images.Annual reviews in control · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectiveElectrical impedance tomography (EIT) has been shown to be a viable non-invasive, bedside imaging modality to monitor lung function. This paper introduces a method for identifying regions of air trapping from EIT data collected during tidal breathing and breath-holding maneuvers. APPROACH: Ventilation-perfusion index maps are computed from dynamic EIT images. These maps are then used to identify regions of air trapping in the area of the lung as regions that are poorly ventilated but well perfused throughout the breathing and cardiac cycles. These EIT-identified regions are then compared with independently identified regions of low attenuation, or air trapping, on chest CT. Results of this method are demonstrated in two children with cystic fibrosis and on a healthy control subject. MAIN
resultsIn both CF children, the EIT-identified regions of air trapping matched the regions indicated from the chest CT. The EIT-based method is only validated with CT scans within 4 cm of the chest cross-section defined by the electrode plane. SIGNIFICANCE: The results indicate the potential use of EIT-derived ventilation-perfusion index maps as a non-invasive method for identifying regions of air trapping.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.