Incidental Diagnosis of Granular Cell Tumor of Vulva: Importance of Discussing Vulvar Health at the Annual Well-Woman Examination
Bibliographic record
Abstract
Granular cell tumors are rare tumors of neurogenic or Schwann cell origin and are known to involve the vulva. The objective of this case is to highlight the importance of careful vulvar examination during the annual well-woman examination by presenting a case of an incidental finding of granular cell tumor of the vulva. A 55-year-old African American female was noted to have an incidental finding of a 2 × 2 cm slow growing right vulvar lump at her yearly gynecologic exam. The lesion was excised and the histopathology was consistent with a benign granular cell tumor of the vulva. Immunostaining was positive for S100 and neuron-specific enolase. Asymptomatic vulvar masses can be the only presenting feature of a neoplastic process. Women may not seek medical attention due to embarrassment or lack of recognizing the importance of symptoms. This case report highlights such a scenario as a reminder to carefully examine the vulva during annual well-woman examination. A low threshold for biopsy can assist in diagnosing pre-invasive and invasive vulvar lesions. J Med Cases. 2015;6(9):417-419 doi: https://doi.org/10.14740/jmc2258w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".