Case report: an identical twin with Sertoli-Leydig cell tumor
Bibliographic record
Abstract
Our report details the workup and management of a 43-year-old woman with an identical twin who presented with 2 years of virilization and secondary amenorrhea. Serum total testosterone was elevated. An MRI did not identify adnexal or adrenal pathology. Subsequent ovarian vein sampling demonstrated unilateral testosterone elevation. The patient underwent laparoscopic unilateral oophorectomy resulting in the diagnosis of Sertoli-Leydig cell tumor (SLCT). Although SLCT is a rare sex-cord ovarian tumor, it is associated with endometrial hyperplasia and malignancy. Our goals are to review the workup of androgen-secreting tumors and discuss the clinical importance of the DICER1 mutation in the context of SLCT. In this case, an identical twin underwent DICER1 testing which was one of the essential steps in her clinical management.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".