Bibliographic record
Abstract
We describe 10 new cases and review 66 previously reported cases of primary pulmonary mucinous cystic neoplasia (PMCN). The 3 men and 7 women were 44 to 73 years old (mean, 60.0 years) at diagnosis. Lesions were found by chest radiograph (featuring a solitary, lobulated nodule with soft tissue density that enlarged slowly), or patients had major bronchial occlusion by mucus or hemoptysis. Tumors were well-circumscribed, lobulated soft masses with a central cavity filled with gray to greenish translucent mucus and were 1.5 to 5.5 cm in greatest dimension (mean, 3.3 cm). Microscopically, confluent lakes of mucin characterized all cases. Tumor epithelium ranged from bland to focal cytologic atypia to frankly malignant. The adjacent lung parenchyma was stretched, compressed, or showed an inflammatory reaction to dissected mucin. After 1- to 10-year follow-up (mean, 3.7 years), 3 patients died of metastasis and 1 of amitriptyline toxic effects; 6 were alive without tumor. Combined analysis of our cases and previously reported cases suggests a histologic spectrum from benign cystadenoma to mucinous cystic tumor with atypia to well-differentiated mucinous cystadenocarcinoma. The histomorphologic criteria derived from this analysis can help distinguish PMCN from other types of primary or metastatic mucinous tumors and predict outcome.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".