Sertoliform Endometrioid Carcinoma of the Ovary: A Potential Diagnostic Pitfall
Bibliographic record
Abstract
Abstract Sertoliform endometrioid carcinoma of the ovary (SEC) is an uncommon variant that bears histologic similarity to Sertoli and Sertoli-Leydig cell tumors (SLTs). Clinically, SEC affects an older population (60–70 years), while patients with SLT have an average age of 25 years and may exhibit endocrine manifestations. A number of histologic features can be used to distinguish the 2 entities, the most important ones being (1) the presence of areas with the usual pattern of endometrioid carcinoma, and (2) the presence of mucin at the apical borders of the tumor cells. Cytokeratin stains positively, while inhibin and calretinin stain negatively in SEC; the converse is true for SLTs. Based on the clinicopathologic behavior of this entity, SEC should be considered a well-differentiated carcinoma with relatively good prognosis if limited to the ovary.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".