Blue Nevi of the Müllerian Tract
Bibliographic record
Abstract
BACKGROUND: Blue nevi are rare in the cervix and vagina. Melanocytes are not normally found in these sites and have been hypothesized to arise either from the Schwann cells of stromal nerves or from melanocytic precursors which have aberrantly migrated from the neural crest to rest in the Müllerian stroma. Because of their rarity (3 previous cases in the literature), vaginal blue nevi have not previously been studied with immunohistochemical and ultrastructural analysis. DESIGN: We describe 3 cases of blue nevus occurring in the Müllerian tract, 1 in the vagina and 2 in the endocervix. RESULTS: The vaginal lesion was seen during routine examination of a 40-year-old woman. The endocervical blue nevi were incidental findings in hysterectomies performed for leiomyomata and endometrial serous carcinoma in women aged 44 and 57 years, respectively. All 3 cases showed loose aggregates of cytologically benign, pigmented, dendritic spindle cells in the superficial stroma. They were immunoreactive for S100 and melan-A, but not HMB45. Ultrastructural analysis revealed numerous melanosomes, with no Schwannian features identified. Compared with the endocervical lesions, the vaginal nevus cells were more heavily pigmented, and on electron microscopy, a greater proportion of stage IV melanosomes were seen. CONCLUSIONS: We provide the first immunohistochemical and ultrastructural findings in a vaginal blue nevus, which confirm that it is of a similar nature to the endocervical blue nevi. Ultrastructurally, our results support a melanocytic rather than Schwannian origin for Müllerian blue nevi.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".