Successful Management of Follicular Cyst-induced Dermatoses in a Labrador Retriever Dog
Bibliographic record
Abstract
Background: Sex hormone dermatoses are uncommon in dog and causes overproduction of one or more of the sex hormones or exogenous administration. Ovarian cyst-induced hyperestrogenemia increased cortisol, hypertestosteronemia, and skin lesions mostly underwent undiagnosed and untreated. This case was documented as clinical pathological changes, diagnosis, and treatment of sex hormone imbalance-induced dermatosis due to an ovarian follicular cyst in a Labrador Retriever bitch. Methods: This clinical investigation was carried out in the month of April’2022 at Veterinary Clinical Complex, Veterinary College and Research Institute, Tirunelveli with a history of prolonged proestrus bleeding, perineal pruritus with reddening, swelling, and enlargement of the vulva. Vaginal exfoliative cytology, hormonal assay, ultrasonography, histopathology of skin, and haemato-biochemistry were performed. Result: Physical examination revealed hyperpigmentation and hyperkeratinization of the skin. Vaginal exfoliative cytology and progesterone assay revealed cytological estrus. Ultrasonography revealed greater than 10 mm-sized anechoic structures in both ovaries along with uterine endometrial hyperplasia. Hormonal analysis revealed hyperestrogenemia and increased cortisol and testosterone. A biopsy of the perineal skin revealed hyperplasia and hyperkeratosis. The case was confirmed as sex hormone imbalance-induced dermatosis due to an ovarian follicular cyst. The animal was treated with two shots of Inj. hCG 500IU in 48 hrs interval followed by OHE after three months.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".