Canine gastric mucosal sarcoma: a novel tumour type
Bibliographic record
Abstract
BACKGROUND: Gastric neoplasia is uncommon in dogs accounting for ⟨1% of all neoplasms. Mesenchymal tumours arise from the muscularis layer of the gastric wall and represent 10-30% of canine gastric neoplasms. Gastric sarcomas arising from the muscularis layer of the stomach have not previously been reported. CASE REPORT: A 7-year-old, female spayed labrador was referred for investigation of chronic vomiting and regenerative anaemia. Abdominal imaging revealed a large solitary pedunculated mass (65 × 62 × 56 mm) within the pylorus and proximal duodenum. A Billroth I procedure was performed to resect the mass. Histopathology and immunohistochemistry were consistent with chronic hypertrophic pyloric gastropathy with atypical spindle cell proliferation confined to the mucosa. A Billroth II procedure was performed 5.5 months later due to local recurrence. A new omental nodule (12 × 13 mm) was identified 10 weeks later, which was surgically resected and confirmed a diagnosis of metastatic sarcoma. Adjuvant chemotherapy with doxorubicin was commenced. Repeat staging identified metastases to the pancreas and local tumour recurrence. The dog was euthanised due to clinical deterioration and biliary obstruction 20 months after the onset of clinical signs (14.5 months post Billroth I). CONCLUSION: This is the first report of a gastric mucosal sarcoma in a dog. Distinct from primary gastrointestinal sarcoma, which arises within the muscularis, the mass was confined within the gastric mucosal layer. The pedunculated nature of this mass made it amenable to surgical resection, but ultimately local recurrence was identified along with metastases. Pancreatic metastases have not previously been reported in gastrointestinal sarcomas.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".