ArticleCritical care explorations2025
Three-Dimensional Electrical Impedance Imaging During Spontaneous Breathing Trials in Patients With Acute Hypoxic Respiratory Failure: A Pilot Study.
Article in Critical care explorations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Revisiting ventilator-induced lung injury: from mechanical power to immunometabolic interaction.Frontiers in immunology · 2026Review
- Lung function assessment by electrical impedance tomography among obese patients.Scientific reports · 2025Article
- Lung electrical impedance tomography during positioning, weaning and chest physiotherapy in mechanically ventilated critically ill patients: a narrative review.Annals of intensive care · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The purpose of this work is to evaluate the feasibility of lung imaging using 3D electrical impedance tomography (EIT) during spontaneous breathing trials (SBTs) in patients with acute hypoxic respiratory failure. EIT is a noninvasive, nonionizing, real-time functional imaging technique, suitable for bedside monitoring in critically ill patients. EIT data were collected in 24 mechanically ventilated patients immediately preceding and during a SBT on two rows of 16 electrodes using a simultaneous multicurrent source EIT system for 3D imaging. Dynamic 3D EIT images of conductivity were computed, as well as the EIT-derived rapid shallow breathing index, regional ventilation delay, global inhomogeneity index, and time traces of tidal volumes. 3D reconstructions and derived measures demonstrated inhomogeneity in ventilation distribution within patients. We conclude that 3D EIT images can provide information regarding ventilatory heterogeneity across the lung and may be useful in guiding ventilator management.
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Registered trials
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