<i>Mycobacterium avium</i>complex lung disease in immunocompetent patients: radiography–CT correlation
Bibliographic record
Abstract
This study aimed to describe and correlate the chest radiography and CT findings of Mycobacterium avium complex (MAC) lung disease in immunocompetent patients. 26 patients fulfilled The American Thoracic Society criteria for MAC lung disease and underwent chest radiography and CT within 6 weeks of positive cultures. All abnormalities and predominant lobar involvement were recorded and abnormalities on chest radiography were correlated with those on CT. The images were evaluated by two chest radiologists and decisions were reached by consensus. 21 females and 5 males, with an overall mean age of 69 years, were included in the study. All chest radiographs and CT scans were abnormal. On chest radiography, overinflation was demonstrated in 18 patients. CT scan abnormalities included atelectasis (n=17), bronchiectasis (n=24), cavities (n=13), consolidation (n=3), emphysema (n=11), ground-glass opacity (n=8), linear opacities (n=26), mediastinal lymphadenopathy (n=3), nodules (n=25) and pleural disease (n=15). CT findings were at variance with chest radiography findings in 15 lobes. A new feature from this study is that the majority of patients with MAC lung disease demonstrate overinflation on chest radiography. 19% of cases had predominant upper lobe disease, indistinguishable from post-primary Mycobacterium tuberculosis infection. 77% of cases demonstrated the major imaging criteria of MAC lung disease. These are ill defined nodules, bronchiectasis, predominant middle lobe and/or lingular abnormalities, with or without overinflation. We believe that these characteristic radiological signs will assist the physician in the diagnostic work-up of patients with MAC lung 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".