Bibliographic record
Abstract
BACKGROUND: Pleuropulmonary blastoma is a rare, aggressive neoplasm that typically occurs in young children. It has been classified as type I, II, or III on the basis of the cystic versus solid nature of the lesion as well as the histologic appearance. Although it has been speculated that type I lesions may have a tendency to progress into type III lesions, no such case has been reported to date. METHODS: A case of type I pleuropulmonary blastoma in a girl age 2 years 9 months was found in our departmental archive. This case, originally diagnosed as a hamartoma over 20 years ago, predated the description of this pathologic entity. Over a 3-year period, the patient underwent excisions of a primary tumor and 3 subsequent recurrences, thus allowing us to follow the natural history of this neoplasm. RESULTS: The primary tumor was a large, multicystic mass (roughly 90% cystic by volume) with benign histologic appearance except for occasional foci with bland, embryonal rhabdomyosarcomatous features. In subsequent recurrences, the resected specimens became increasingly solid and had an anaplastic, multiphasic mesenchymal pattern. CONCLUSIONS: The course of the patient described here represents the first case in which transition from type I (cystic) to type III (solid) was documented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".