Primary soft tissue angiomyolipoma in a dog with unusual clinical features
Bibliographic record
Abstract
Angiomyolipoma is an extremely rare neoplasm in animals. It belongs to a group of perivascular epithelioid cell tumours (so-called PEComas). This study reports a case of primary soft tissue angiomyolipoma in a dog with some unusual clinical features. A 4-year old female Labrador dog with a rapidly growing pelvic tumour measuring 30 × 20 cm with a short history of 12 weeks was presented. The tumour was well-circumscribed and pushed into the right vaginal wall and into the perineum. The tumour was completely surgically excised. An extensive histological examination was performed, including immunohistochemical analysis. Histology revealed a mesenchymal neoplasm consisting of three tissue components – mature adipose tissue (which dominated), vessels, and smooth muscle (spindle) cells. The lesion showed positive immunohistochemical staining with smooth muscle actin and desmin in mature-appearing smooth muscle cells and S-100 protein positivity in adipocytes. The diagnosis of angiomyolipoma must be considered in different types of benign and malignant tumours of various lineages. The diagnostic approach to soft tissue tumours, including angiomyolipoma, requires optimal processing and sectioning of resected specimens. This paper is believed to be the first case of primary soft tissue angiomyolipoma reported in the veterinary literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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 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".