Tracheal squamous cell carcinoma treated with tracheal resection and anastomosis in a dog.
Bibliographic record
Abstract
A 9-year-old spayed female Labrador retriever was presented with intermittent expiratory cough and dyspnea unresponsive to prednisone and amoxicillin/clavulanic acid. Radiographic and computed tomographic examinations identified a localized dorsal intraluminal tracheal wall mass without detectable locoregional metastasis, leading to surgical resection and anastomosis of the affected tracheal segment. Histopathological analysis confirmed the mass as squamous cell carcinoma (SCC) with clear lateral and deep skeletal muscle margins. Monitoring after surgery, rather than adjuvant therapy, was elected by the dog's owner. The dog recovered with no complications noted and was in a state of clinical remission at the final in-hospital evaluation (3 mo after surgery). This case represents the second documented instance of canine tracheal SCC treated successfully with surgery. It underscores the potential for surgical intervention as a viable treatment option, potentially improving prognosis and survival outcomes in dogs affected by tracheal SCC. Regular evaluations and serial imaging examinations are recommended to monitor for recurrence and ensure long-term clinical remission. Key clinical message: This case marks the first documented tracheal resection and anastomosis as treatment for canine tracheal SCC and only the second reported tracheal SCC in a dog. Despite the typical negative outcomes associated with this SCC, the dog in this report achieved clinical remission without the need for chemotherapy or radiation therapy. Surgical intervention may be a viable treatment option for tracheal SCC, potentially improving prognosis and survival outcomes in affected dogs.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".