Linfoma intestinal em cão da raça Labrador: Relato de caso
Bibliographic record
Abstract
With the progress of veterinary medicine, a prolongation of animal life occurred and an occurrence of chronic diseases such as cancer. It is unanimous in the veterinary medical literature the importance of the complete evaluation of the patient for the resolution of the diagnosis, prognosis and therapy of the animals with neoplasias. Lymphoma is a neoplasm of malignant character and a rapid evolution of the history and the physical findings consist of the anatomical location and the affected organs. Clinical signs are usually non-specific. Anorexia / hyporexia, weight loss and transmission are common signs of various forms of lymphoma surgery. The definitive diagnosis is effected by the cytological and / or histopathological analysis of the affected tissues. The present study aimed to report a case of an 8-year-old Labrador Retriver dog that presented diarrhea with progressive weight loss, inappetence and vomiting. A hard consistency of approximately 3 cm was noticeable on palpation. Complementary exams such as radiography, abdominal ultrasonography and complete blood count were indicated. Confirming a presence of a neoplastic mass in the abdominal region, however, it was not known in which organ was located with suspicion that it would be present not spleen. The dog was referred for exploratory laparotomy surgery with possible splenectomy. It was observed that about 75 to 80% of the intestine was affected by neoplastic lesions. Several fragments were referred to a histopathology. The result of the histopathology concluded a malignant lymphosarcoma, presenting metastasis in the pancreas.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".