Morphologically high‐grade microcystic adnexal carcinoma: a report of two cases
Bibliographic record
Abstract
AIMS: Microcystic adnexal carcinoma is a distinctive sweat duct carcinoma of low-grade malignant potential with a risk for locally destructive growth and local recurrence. Distant metastases and disease-related mortality are exceptional. The histological hallmarks of these tumours are the diffusely infiltrative growth within the dermis, the frequent invasion of subcutaneous structures, the presence of perineurial invasion, and the bland cytological features. The tumours are organised in cords and strands, and show keratocyst formation and duct differentiation in varying proportions. Marked cytological atypia, nuclear pleomorphism, brisk and atypical mitotic activity and necrosis are not typically seen in these tumours. METHODS AND RESULTS: We report two patients presenting with large, slowly growing tumours on the face showing areas of morphologically high-grade carcinoma arising on a background of unequivocal microcystic adnexal carcinoma. Both patients are alive with follow-up of up to 6 years, with no evidence of disease. CONCLUSIONS: Morphologically high-grade transformation in microcytic adnexal carcinoma is a rare phenomenon that does not appear to confer a risk for aggressive behaviour. Recognition depends on sampling of the areas of conventional microcystic adnexal carcinoma.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".