Diagnosis of Rare Synchronous Pleural and Peritoneal Mesothelioma in a Domesticated Canine
Bibliographic record
Abstract
This paper reports a rare incidence of invasive mesothelioma in both thoracic and peritoneal cavities of a two and a half year old Labrador Retriever dog and its diagnosis by cytological analysis, radiography and ultrasonogram. Malignant mesotheliomas most often affect the pleura and tend to spread locally within the originating cavity. Mesotheliomas are already rare diseases, and cases with synchronous pleural and peritoneal involvement are scarce in the literature. A male Labrador Retriever dog of two years and six months old was presented to the Teaching Veterinary Clinical Complex Veterinary College and Research Institute, Tirunelveli (Tamil Nadu, India) with the complaint of the distended ventral abdomen, respiratory distress, and exercise intolerance since 4 months and hyporexia since 7 days. The case was treated with parenteral administration of amoxicillin and cloxacillin @ 22 mg/kg b.wt. to prevent complications like peritonitis, furosemide @ 4 mg/kg b.wt. to reduce the ascites in the abdomen, prednisolone @ 0.5 mg/kg b.wt. to reduce neoplastic response (lymphocytosis), multiple amino acids (Astymin®) to alleviate hypoalbuminemia. Therapeutic options for mesothelioma include surgical resection, radiotherapy, and chemotherapy, though a low incidence of the cases in dogs leads to difficulty in the assessment of the therapeutic efficacy of drugs.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".