Pleural Metastasis of Merkel Cell Carcinoma
Bibliographic record
Abstract
Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine skin cancer, often challenging to diagnose due to its morphological resemblance to other malignancies. Diagnosis is typically confirmed by immunohistochemistry (IHC), with most cases being positive for both neuroendocrine and epithelial markers, particularly the characteristic dot-like cytoplasmic pattern seen with Cytokeratin 20 (CK20). This case report describes a 68-year-old male with MCC originating in the left elbow, who developed pleural metastasis 10 months after initial diagnosis and 4 months following a pathologic complete response. IHC analysis confirmed MCC in the pleural fluid with positive markers including: CK20, chromogranin, synaptophysin, MCC polyomavirus, and SATB2, the latter emerging as a valuable adjunct in distinguishing MCC from other neuroendocrine tumors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".