This Is What COVID-19 Survival Looks Like: 129Xe MRI, Oscillometry and Pulmonary Function Measurements
Bibliographic record
Abstract
PURPOSE: COVID-19 lung infection has severe consequences that may persist following recovery including impaired oxygen transfer and local and systemic inflammation.1 Although the long-term consequences of COVID-19 are poorly understood, preliminary CT evidence suggests permanent structural damage2 may reduce lung function in some survivors. Oscillometry and multiple breath washout (MBW) may be well suited to detecting small airway abnormalities due to increased sensitivity to heterogeneous small airway and alveolar tissue abnormalities compared to spirometry.3,4 Likewise, inhaled 129Xe MRI provides a unique, quantitative measures of airway and alveolar structure/function through ventilation defect percent (VDP) and the apparent diffusion coefficient (ADC).5 We hypothesized that 129Xe MRI, oscillometry and MBW would reveal abnormal findings in the absence of abnormal pulmonary function test results in COVID-19 survivors. METHODS: Participants with a positive COVID-19 test that were being followed for long-term sequelae provided written informed consent up to three months post-recovery to 129Xe MRI, MBW, oscillometry and spirometry. Ventilation defect percent (VDP) and ADC were calculated using semi-automated segmentation tools.6 Significant differences were determined using paired-sample t-tests. RESULTS: Participants without prior history of chronic respiratory disease (n=8), those with a prior diagnosis of COPD (n=2) and asthma (n=4) were recruited. Mean FEV1 was normal with no post-bronchodilator (post-BD) response (pre-BD=88±19%pred, post-BD=88±20%pred, p=.87), however MBW lung clearance index (LCI) significantly increased (pre-BD=130±46%pred, post-BD=153±47%pred, p=.02). 129Xe MRI VDP was abnormal (pre-BD=7±7%, post-BD=6±5%, p=.46) while ADC (0.052±0.003cm2/s) was similar to values previously evaluated in participants with COPD.7,8 Airway resistance (pre-BD=0.85±0.69, post-BD=0.56±0.72 cmH2O·s/L, p=.010) and reactance (pre-BD=14±13 cmH2O/L, post-BD=9±9 cmH2O/L, p=.036) significantly improved post-BD, were elevated, and similar to previously reported asthma and COPD values.9 No significant post-BD differences were observed between participants with and without obstructive diseases. CONCLUSIONS: Abnormal ADC and VDP in symptomatic participants after COVID-19 recovery were consistent with small airway and alveolar damage. Abnormal oscillometry measurements improved post-bronchodilator, suggesting small airway damage and decreased tissue elastance. An unexpected increase in LCI post-bronchodilator warrants further investigation and may be due to preferential bronchodilator response in certain airways. 129Xe MRI, oscillometry and MBW measurements detect lung function impairment in survivors and may provide useful measures for longitudinal monitoring and treatment response.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".