Vaginal Leiomyosarcoma Subsequent to Pyometra in a Labrador Retriever Bitch
Bibliographic record
Abstract
In this case, vaginal leiomyosarcoma subsequent to pyometra is described in a 10-year old Labrador Retriever bitch. Bloody, malodorous discharge related to pyometra was present from the vagina for 4 months. Ovariohysterectomy recommended but the owner refused the operation. Three weeks after the first examination a rapidly growing mass and a bulge were noticed in the vagina. The dog underwent ovariohysterectomy and a biopsy was taken from the mass at the vagina during this surgery and submitted to pathology laboratory. It was diagnosed as leiomyosarcoma in histopathological and immunohistochemical examinations. After the mass extirpated surgically the recurrence was occurred in one and a half months later. The bitch’s general condition deteriorated rapidly and she died. Because of the late arrival of the patient to our clinic and in order to the request of the owner, treatment protocols could not be able to applied properly so the case was failed. The aim of this case is to transfer the surgical approaches to these kinds of reproductive pathologies to the literature. It is concluded that these kinds of pathologies should be treated immediately.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".