Metastatic Melanoma to the Pituitary Gland
Bibliographic record
Abstract
BACKGROUND: Metastasis to the pituitary gland is unusual, and occurs most often in patients with carcinomas of the breast or lung. Despite its propensity for spread to the brain, metastatic melanoma has rarely been described within the sella. METHODS: We report two cases of malignant melanoma pathologically confirmed within the pituitary, both metastatic from a primary site on the chest wall. In each patient, transsphenoidal resection of the tumor was incomplete and each received local radiotherapy after surgery. RESULTS: One patient recurred quickly and developed brain metastasis as well. He died four months after resection of the pituitary metastasis, but the second patient survived six months without recurrence. As intrasellar metastasis portends widespread systemic disease and may be synchronous with parenchymal brain metastasis, survival in such patients is limited regardless of adjunctive therapy. CONCLUSIONS: Such cases are likely to arise more commonly in future due to the increasing incidence of melanoma. Identifying them by imaging alone is difficult due to inconsistent signal characteristics on MRI (as shown by these cases) and the confusion introduced by any associated intratumoral hemorrhage.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".