Mast cells in periapical lesions: potential role in their pathogenesis
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to qualitatively and semi-quantitatively analyze mast cells in periapical lesions. MATERIALS AND METHODS: Biopsy specimens of 96 periapical lesions were stained with hematoxylin-eosin, histochemical Giemsa and immunohistochemical CD 117 (C kit) antibody. Mast cell count below 100 mast cells on 1000 fields of high power magnification was noted as 'negative', 101-400 as 'mild', 401-800 cells as 'moderate', and over 800 cells as 'severe'. RESULTS: Mast cells are found in 68 (70.8%) lesions. The presence of mast cells was greater in cysts than in granulomas (P < 0.0028). There was no difference in semi-quantitative expression of CD 117 in granulomas and cysts (P > 0.05). Mast cells were placed in both: inflammatory infiltrate and in fibroblastic areas of periapical lesions, and their presence was most frequently mild to moderate. CONCLUSIONS: The findings of present study could suggest a role of mast cells in regulation of cellular immune mechanisms in periapical lesions, balancing between alterative and reparatory processes in inflamed periapical tissue.
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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) | 0.000 | 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 | 0.001 |
| 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".