Unusual double pituitary adenoma: A case report
Bibliographic record
Abstract
We report the case of a 60-year-old woman with Cushing disease. Magnetic resonance imaging (MRI) revealed a large sellar and suprasellar mass involving the right cavernous sinus, consistent with pituitary macroadenoma. It was resected by transsphenoidal surgery. Light microscopy revealed two separate pituitary adenomas with different histologic and immunohistochemical features. One was amphophilic and strongly Periodic Acid-Schiff (PAS) positive, the other chromophobic and PAS negative. The former tumor was immunopositive for adrenocorticotropic hormone (ACTH); approximately 30% tumor cells were immunopositive for MGMT (O6-Methylguanine-DNA Methyl-Transferase). The second tumor was a PAS negative, luteinizing hormone (LH) and alpha subunit immunopositive gonadotroph adenoma. In this tumor, about 90% of the cells were immunopositive for MGMT. The Ki-67 nuclear indices of the two tumors were 6% and 2%. Our case represents a rare combination of two morphologically different pituitary adenomas, one producing ACTH and the other LH and alpha subunit. The two tumors differed not only in Ki-67 labeling indices but in MGMT immunoexpression as well.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".