A rare case of retrobulbar neoplasia.
Bibliographic record
Abstract
Introduction Neoplasms involving the optic nerve are rare. Intraorbital meningiomas, the most common tumour of the optic nerve, represent only 3% of all meningiomas in dogs, so few data exists to predict its symptoms and biologic behaviour. Objectives The authors describe and submit for discussion, a rare case of retrobulbar meningioma, in particular for assessment of histological grade and prognosis. Medical History A 10 year old Labrador Retriever male dog was presented for complaints of swelling and purulent discharge of the right eye. The animal had exophthalmos, protrusion of the third eyelid, chemosis, deep corneal ulceration and no pupillary light reflex. Exophthalmos due to a retrobulbar mass was diagnosed after physical, ophthalmic and ultrasound examination. Material and Methods The sample was fixed in 10 % buffered formalin solution, processed for routine histopathological diagnosis and a standard Streptavidin-Biotin Complex technique for immunohistochemical evaluation was also performed. Results Macroscopic examination revealed a conic mass, located in the retrobulbar portion of the optic nerve, adjacent to the posterior aspect of the globe with homogeneous, lobulated and whitish appearance and firm consistency. Microscopic examination revealed spindloid cells, with round-to-oval, finely stippled nuclei, small or indistinct nucleoli, moderate amount of eosinophilic cytoplasm, arranged in concentric whorls around capillaries, separated by interlacing fascicles, with small amount of well vascularized, collagenous stroma. Conclusion The authors suggested the diagnosis of transitional meningioma, based on the histopathological diagnosis and immunohistochemistry results.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".