The feasibility of using electrical impedance tomography to guide positive pressure airway clearance in children with cystic fibrosis and tracheobronchomalacia
Bibliographic record
Abstract
Aim: Positive expiratory pressure devices are frequently used for airway clearance in children with cystic fibrosis and tracheobronchomalacia. This study aimed to establish if electrical impedance tomography is a feasible measure to titrate pressures in non-sedated children. Method: Ten children with cystic fibrosis and tracheobronchomalacia performed airway clearance using positive pressure devices whilst monitored with electrical impedance tomography. Feasibility was measured as tolerability and completion of the intervention; ease of administration and interpretation of software data; ability to determine differences in regional lung ventilation; and compatibility for use in the clinic. A pre-determined score of ≥70% was deemed successful for each measure and reported as means and ranges. Results: Criterion met success for tolerability (98%; 86-100) and intervention completion (95%; 90-100). Regions of interest display (96%; 80-100) and software data analysis (96%; 90-100) allowed regional lung ventilation changes to be observed with different pressures. Ease of administration and compatibility for the clinic highlighted difficulties with automated software functionality and clinician time (66%; 10-100% and 75%; 0-100). Conclusion: Use of electrical impedance tomography is feasible in non-sedated children with cystic fibrosis. It has potential as a tool for guiding positive pressure titration for airway clearance. Results and application to clinical practice require further study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".