Additional Local Therapy With Primary Re‐Excision or Radiation Therapy Improves Survival and Local Control After Incomplete or Close Surgical Excision of Mast Cell Tumors in Dogs
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To compare survival and local recurrence outcomes in dogs with mast cell tumors with incomplete or close margins treated with primary re-excision or radiation therapy of the primary site versus no additional local therapy. STUDY DESIGN: Retrospective case series. ANIMALS: Dogs (n = 64). METHODS: Outcomes of canine mast cell tumor cases that had incomplete or close surgical resection and presented to the Ontario Veterinary College Health Sciences Centre (2001-2010) were evaluated after additional local therapy (primary re-excision or radiation therapy) or no additional local therapy (comparison). Follow-up was performed through evaluation of medical records and telephone contact with referring veterinarians and owners. RESULTS: Tumors (n = 70) in 64 dogs were studied. Median survival times for the primary re-excision (2930 days) and radiation therapy (2194 days) groups were significantly longer than for the comparison (710 days) group. Local recurrence occurred in 13% of the re-excision group, 8% of the radiation therapy group, and 38% of the comparison group. Although local recurrence rate was not statistically significant for the re-excision group, time to local recurrence was statistically longer for both the re-excision and radiation groups. Adjunctive chemotherapy was not associated with improved survival or local control. CONCLUSION/CLINICAL RELEVANCE: There is significant improvement in survival and duration of local control when additional local therapy is performed after incomplete or close resection of mast cell tumors. These follow-up therapies should be recommended to owners when mast cell tumors are incompletely or closely resected.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it