Correlation of Hyperpolarised Xenon-129 Magnetic Resonance Imaging (129Xe-MRI) of the Lung with Multi-Breath Washout (MBW) in Children with Severe Asthma
Bibliographic record
Abstract
<b>Introduction:</b> Asthma is the most common chronic disease in children. MBW-derived lung clearance index (LCI), a global measure of ventilation inhomogeneities, is increasingly used in paediatric patients to complement spirometry, the current gold-standard pulmonary function test. 129Xe-MRI, a functional imaging technique, can assess regional lung function, including regional ventilation inhomogeneities. A strong correlation between VDP and LCI in CF and a weaker one in mild asthma has been shown previously. <b>Aim:</b> We aimed to assess the feasibility of 129Xe-MRI in children with severe asthma. <b>Method:</b> 129Xe-MR lung images were acquired on a 3T Siemens MRI scanner during a breath-hold of up to 16-seconds. Images were analysed in MatLab, calculating the ventilation defect percentage (VDP) regionally. <b>Results:</b> Nine healthy children (mean age 10.6) and four with severe asthma (mean age 14.1) were recruited. All completed the scan. VDP was 15 times greater in the asthma cohort (p=0.02), in whom VDP correlated strongly with LCI (Pearson’s correlation r=0.99, p=0.018) and mildly with FEV1 (r=0.22). <b>Conclusion:</b> 129Xe-MRI is feasible in children with severe asthma and VDP correlates strongly with LCI. 129Xe-MRI is a non-ionising technique and may potentially be used as a biomarker to assess disease progression and therapeutic response. (ClinicalTrials.gov ID NCT02740868)
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".