Immunocytochemical Localization of Mast Cells in Lymphocytic Hypophysitis
Bibliographic record
Abstract
We studied 15 transsphenoidally resected pituitary tissues diagnosed by histologic examination as chronic lymphocytic hypophysitis. Six autopsy-obtained pituitaries of patients who died of nonendocrine diseases also were studied. Tryptase immunohistochemical analysis, which specifically identifies mast cells, demonstrated numerous, randomly distributed multifunctional cells throughout the inflammatory reaction. Several mast cells were located in the vicinity of capillaries; several others were distributed far from the blood vessels. Occasional mast cells also were noted in the nonpathologic anterior and posterior pituitary lobes. Morphometric analysis confirmed that in lymphocytic hypophysitis, the number of mast cells per volume of tissue was significantly increased compared with that of nonpathologic anterior and posterior pituitary lobes. To elucidate the possible role of mast cells in chronic lymphocytic hypophysitis, microvessel densities were assessed quantitatively using immunohistochemical analysis for CD34, a sensitive marker of endothelial cells. The strong positive correlation between numeric density of mast cells and microvessel density per volume of pituitary tissue suggests that mast cell-derived products may influence capillary permeability and angiogenesis, thereby facilitating the access of inflammatory cells to adenohypophysial cells.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".