Cytological diagnosis of metastatic melanoma presenting as an isolated pleural effusion: A case report
Bibliographic record
Abstract
Malignant melanoma (MM) is a malignant melanocytic neoplasm that occurs mainly in the skin but it can also involve any tissue. It has the capacity to metastasize widely and quickly to various sites without any intermediate stops, sometimes many years after treatment of the primary tumor. It is almost impossible to predict which organ system will be invaded by melanoma from a given primary site. We report the cytomorphologic and immunocytochemical findings of a male patient with isolated pleural metastasis of MM without pulmonary parenchymal metastatic involvement after 10 years of progression-free survival. Pleural fluid cytology revealed epithelioid cells of variable sizes and configuration isolated or in clusters with abnormal hyperchromatic nuclei, irregularly-shaped nucleoli, abundant eosinophilic cytoplasm, multinucleated giant cells, intranuclear cytoplamic inclusions as well as many cytoplasmic melanin pigmented tumor cells. Immunocytochemical markers for melanoma HMB-45 and S-100 were positive. Metastasis of MM to pleural fluid is rare and diagnosing the disease by cytology is challenging and requires medical expertise as well as knowledge of clinical context and immunocytochemical staining evaluation.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| 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".