Demystifying “Hyaline Angiopathy” of Pulse Granuloma in Oral and Extraoral Surgical Pathology
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Pulse granuloma (PG), or giant cell hyaline angiopathy, is an immune-mediated reaction often following the implantation of plant-derived food particles. PGs are primarily found in the oral cavity and gastrointestinal tract and may represent a histopathological pitfall, being mistaken for other granulomatous conditions or tumors. This study is the first to compare oral to extraoral PGs, aiming to clarify the "hyaline angiopathy" seen in PGs by developing a detailed histochemical and immunohistochemical profile of oral and colonic PGs. METHODS: A computer search of 135,972 surgical pathology cases was conducted. PG histopathological slides, along with demographic and clinical data, were reviewed. Stains including Congo red, Masson trichrome, PAS, and immunostains CD31, ERG, and D2-40 were applied. RESULTS: Sixteen cases (11 oral, 5 extraoral) were identified, ranging from 7 to 81 years of age. Oral PGs were linked to odontogenic cysts, while extraoral PGs were associated with intestinal inflammation and perforation. Angiolymphatic marker expression was limited to the inflamed connective tissue surrounding PG. CONCLUSIONS: Our findings suggest that PGs reflect a granulomatous response to edible components and support surgical excision. The absence of vascular markers indicates that the term "angiopathy" is misleading, proposing that these "wormy" structures are fibrocollagenous responses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.002 | 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 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".