Greater Large Conducting Airway Luminal Area in Patients with Interstitial Lung Disease
Bibliographic record
Abstract
ABSTRACT Interstitial lung disease (ILD) encompasses multiple pulmonary disorders characterized by damaged pulmonary tissue caused by a sequence of inflammation and fibrosis. While much is known about ILD-associated changes within the parenchyma and the pathophysiological processes underpinning the disruption of pulmonary dynamics and gas exchange, less is known about ILD-associated changes of luminal area within the large conducting airways. We aimed to investigate whether luminal area of the large conducting airways is different between patients with ILD and healthy controls. In a retrospective case-control study, luminal areas of seven large conducting airways were measured using three-dimensional reconstructions of computed tomography imaging. Patients with ILD (N=82; 54% female) were compared to control subjects matched for age, sex, and height. Univariate ANOVA tests or Kruskal-Wallis tests were used to analyze group and sex differences. Patients with ILD had greater large conducting airway luminal areas than control subjects for measured large conducting airways, including the trachea (296±73 vs. 247±65 mm 2 , P <0.001), right main bronchus (214±59 vs. 161±46 mm 2 , P <0.001), bronchus intermediate (123±32 vs. 94±28 mm 2 , P <0.001), right upper lobe (81±22 vs. 61±20 mm 2 , P <0.001), left main bronchus (151±41 vs. 119±35 mm 2 , P <0.001), left lower lobe (71±22 vs. 48±15 mm 2 , P <0.001), and left upper lobe (86±21 vs. 68±22 mm 2 , P <0.001). Among patients with ILD, males had 17-34% greater luminal areas (normalized to height) than females depending on the airway segment (all P <0.05). NEW & NOTEWORTHY This study provides evidence that interstitial lung disease (ILD) is associated with greater large conducting airway luminal area, even if matched for key characteristics (age, sex, and height). Consistent with observations in health, adult males with ILD had greater height-normalized large conducting luminal areas than adult females with ILD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".