Malignant Ovarian Steroid Cell Tumor Causing Severe Hyperandrogenism: Case Report And Review Of The Literature
Bibliographic record
Abstract
Objective: To report a rare case of malignant ovarian steroid cell tumor with androgen excess. Methods: We describe the clinical presentation and management of a malignant ovarian steroid tumor with severe hyperandrogenism in a postmenopausal woman. Results: An 83-year-old patient had a 6-year history of features of androgen excess. Biochemistry confirmed elevated testosterone and dehydroepiandrosterone sulfate; investigations identified a 4.5-cm adnexal mass that was resected, and the histopathology diagnosis was a malignant steroid cell tumor. Eight months later, disease recurrence prompted a second surgical intervention, and a 3.5-cm mass adherent to the right pelvic sidewall was removed. The patient was not able to tolerate mitotane due to severe side effects. Eighteen months later, the disease relapsed with recurrence of clinical and biochemical features of androgen excess. Conclusion: This case illustrates the challenges of diagnosis and management of malignant ovarian steroid cell tumors. Abbreviations: CT computed tomography; DHEAS dehydroepiandrosterone sulfate; GnRH gonadotropin-releasing hormone; MRI magnetic resonance imaging; SCT steroid cell tumor
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".