Cutaneous mastocytosis with atypical mast cells and giant cytoplasmic granules
Bibliographic record
Abstract
A 12-year-old male presented with an 8-year history of five firm cream colored papules on the right vertex of the scalp. A biopsy showed a dense infiltrate of monomorphous mast cells involving the dermis and extending into the subcutis. A relatively well-circumscribed cluster of larger cells showed pleomorphic nuclei with bilobed and multilobed morphology. Both mast cell populations had an eosinophilic cytoplasm filled with granules ranging in size from small to giant forms. By immunohistochemistry, the cells expressed CD117, tryptase and CD68, and were negative for AE1/AE3, CD1a, CD2 and CD25. S-100 staining revealed only faint cytoplasmic positivity and myeloperoxidase had an inhomogeneous patchy pattern, with an overall staining of less than 5% of the cells. A diagnosis of cutaneous mastocytosis was made and after 6 months follow-up, no progression observed. Clinical correlation and awareness of these unusual morphologic features as being part of the spectrum of cutaneous mastocytosis are important to avoid an erroneous diagnosis of malignancy. Although pleomorphic, multilobed nuclear morphology and giant cytoplasmic granules have not been associated with an aggressive behavior or systemic mastocytosis, close clinical observation is warranted in this context.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".