Vulvar Granular Cell Tumor: A Rare Tumor in an Unusual Location
Bibliographic record
Abstract
Granular cell tumors are rare neoplasms of neural sheath origin, which rarely involve the vulvar area. We report the case of a 53-year-old postmenopausal woman who presented with an increasing vulvar mass with 2 years duration without associated symptoms. The physical examination revealed a hard, mobile nodular subdermal mass. An excision biopsy of the lesion was performed. The histopathologic exam revealed a granular cell tumor without features of malignancy. On the follow-up, 2 months after the excision, the patient was asymptomatic and presented a complete healed scar with no induration. Although granular cell tumors of the vulva are uncommon and mostly benign, they have a tendency for local recurrence. Once diagnosed with a granular cell tumor, the patient must be counseled to follow-up regularly. J Clin Gynecol Obstet. 2015;4(3):279-281 doi: http://dx.doi.org/10.14740/jcgo350w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".