SUCCESSFUL SURGICAL MANAGEMENT OF TYPE III VAGINAL HYPERPLASIA IN A BREEDING LABRADOR RETRIEVER: A CASE REPORT
Bibliographic record
Abstract
Vaginal hyperplasia is a common reproductive disorder in intact female dogs, primarily occurring during the follicular phase of the estrous cycle due to elevated estrogen levels. This case report describes the successful surgical management of Type III vaginal hyperplasia in a nulliparous, one-year-eight-month- old Labrador Retriever, kept for breeding purposes. The dog was presented with a protruding vaginal mass and stranguria for 12 days. Clinical examination revealed a hyperemic, edematous, and ulcerated doughnut-shaped mass protruding from the vulvar rim. Hematological findings showed a mild leukocytosis, and vaginal cytology confirmed the late estrus stage. Given the need to preserve reproductive function, radical excision of the prolapsed vaginal mass was performed under general anesthesia, avoiding ovariohysterectomy. Postoperative care included antibiotic and analgesic therapy, wound management, and the use of an elizabethan collar. The patient exhibited an uneventful recovery, with normal urination restored the day after surgery. Histopathological examination confirmed vaginal hyperplasia without evidence of malignancy. The dog successfully conceived following estrus 25 weeks post-surgery, demonstrating the efficacy of surgical excision in maintaining reproductive potential. This case emphasizes the importance of individualized treatment strategies in breeding animals, ensuring both reproductive preservation and clinical resolution of vaginal hyperplasia.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".