Immunohistochemical evaluation of fibrovascular and cellular pre‐iridal membranes in dogs
Bibliographic record
Abstract
OBJECTIVE: Histologically, two morphologically distinct types of pre-iridal membranes appear to occur in diseased canine globes: fibrovascular and cellular. Cellular pre-iridal membranes of corneal endothelial origin exist in iridocorneal endothelial (ICE) syndrome in humans and arise through metaplastic transformation of corneal endothelial cells into epithelial-like cells.(1) The purpose of this study was to (i) evaluate immunohistochemical staining of these two types of membranes in diseased canine globes, (ii) determine whether endothelial cell metaplasia or iridal vascular budding plays a role in cellular membrane formation and (iii) compare the primary histopathologic diagnosis between the two groups. PROCEDURES: Hematoxylin and eosin (H&E)-stained slides of 28 enucleated canine specimens with pre-iridal membranes were randomly selected and examined with light microscopy. The globes were divided into two groups based on the appearance of the membrane: fibrovascular or cellular, and the histopathologic diagnoses were recorded. Immunohistochemical staining for vimentin, cytokeratin AE1/AE3, and Von Willebrand's factor (Factor VIII) was completed on the slides of each globe. The histopathologic diagnoses were compared between the two groups. RESULTS: The fibrovascular and cellular membranes stained positive for vimentin and negative for cytokeratin AE1/AE3. All fibrovascular membranes stained positive for Factor VIII compared with the cellular membranes which stained negative. In the cellular membrane group, primary glaucoma was a common histologic diagnosis. CONCLUSIONS: Immunohistochemical evaluation in this study does not support the hypothesis of metaplastic transformation of endothelial cells into epithelial-like cells in the canine globes with cellular membranes. The cellular membranes in this study do not represent a canine version of ICE syndrome and are not of vascular endothelial origin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".