Pulmonary vasculopathy in idiopathic spontaneous pneumothorax in young subjects.
Bibliographic record
Abstract
BACKGROUND: We have encountered instances where young subjects with idiopathic spontaneous pneumothorax have been needlessly referred for investigation of pulmonary hypertension because surgical pathologists have misinterpreted the significance of medial hypertrophy and intimal fibrosis of muscular pulmonary arteries in lung resection specimens. METHODS: We reviewed 20 cases of idiopathic spontaneous pneumothorax and determined the prevalence and severity of medial and intimal lesions in the pulmonary arteries and pulmonary veins. We correlated the vascular changes with inflammation and fibrosis in the lung. RESULTS: Pulmonary artery medial hypertrophy was seen in 15% of cases, pulmonary artery intimal fibrosis in 90% of cases, and pulmonary vein intimal fibrosis in 80% of cases. In 95% of cases, the lung showed some fibrosis and chronic inflammation. There was a significant positive correlation between pulmonary artery medial thickness and lung fibrosis and inflammation scores. CONCLUSIONS: Pulmonary artery medial hypertrophy and intimal fibrosis of pulmonary arteries and pulmonary veins are commonly seen in resected lung tissue from patients with idiopathic spontaneous pneumothorax. The vascular lesions are probably secondary to chronic inflammation and fibrosis in the adjacent lung. They are not clinically significant and do not represent hypertensive pulmonary vascular disease.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 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".