Primary Cutaneous PEComa
Bibliographic record
Abstract
A 48-year-old woman attended a physician because of a solitary cutaneous nodule on the left lower leg. Microscopic examination of the excisional specimen revealed a dermal tumor composed of nests of epithelioid cells exhibiting clear cytoplasm. They had centrally located vesicular nuclei with distinct nucleoli. A rich network of capillaries was present throughout. The tumor showed an infiltrative border. There was no epidermal involvement. Periodic acid-Shif (PAS) and PAS-Diastase stains demonstrated glycogen deposition within the cytoplasm of the clear cells. Immunohistochemical evaluation revealed that the tumor cells were positive for HMB-45 and microftalmia associated transcription factor (MITF). Focal desmin positivity was also seen. The tumor cells were negative for S-100 protein, alfa smooth muscle actin, HHF-35, and various cytokeratins. The case is one of a primary cutaneous pecoma. Pecomas are rare, recently described mesenchymal tumors composed of perivascular epithelioid cells. They constitute a spectrum of lesions in different organs including angiomyolipoma of the kidney and liver, sugar tumor of the lung, lymphangiomatosis, and lymphangiomyoma. Primary cutaneous PEComas are exceptionally rare and have only recently been recognized. To date, these are approximately 22 cases in the English literature. Follow-up data is limited but they appear to behave in a benign fashion. We report an additional case with the goal of alerting dermatopathologists to this distinctive unusual neoplasm.
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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 | 0.001 | 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) | 0.007 | 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".