Ovarian metastasis of clear cell renal cell carcinoma: A case report
Bibliographic record
Abstract
We report on a 61-year-old woman with a history of right-sided nephrectomy for clear cell renal cell carcinoma (RCC) occurring 21 years ago; she currently presented with a bilateral ovarian tumour. Histologically, the tumour of both ovaries was clear cell carcinoma. Immunohistochemically, the tumour cells were positive for vimentin, RCC marker, epithelial membrane antigen, cytokeratin AE1/3 and CD10. Cytokeratin 7, CA125, HMWCK, estrogen and progesterone receptors were all negative. Based on the morphology and immunophenotype of the tumour, we established a diagnosis of late metastasis of RCC in the ovaries. A postoperative abdominal computed tomography scan, however, revealed a tumour mass solely in the left kidney, which had not been visible in the preoperative ultrasound. The patient underwent nephron-sparing surgery and a biopsy showed the tumour to be clear cell RCC. Metastasis of RCC to the ovaries is rare, and to the best of our knowledge, only 24 cases have been reported to date. However, due to the different treatments and prognosis, the distinction between a primary ovarian tumour and metastasis of RCC is important.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| 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; 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".