Endoscope‐Guided Balloon Sinuplasty of the Equine Nasomaxillary Opening
Bibliographic record
Abstract
OBJECTIVE: To describe and evaluate an endoscope-guided balloon sinuplasty technique for dilation of the equine nasomaxillary opening (NMO). STUDY DESIGN: Experimental study. ANIMALS: Equine cadaver heads (n=5); Quarter Horses (n=4). METHODS: A custom rigid balloon introducer was passed into position within the NMO at the caudal recess of the middle meatus. Under endoscopic guidance, a balloon catheter was passed via the introducer into the NMO and inflated to 6 atmospheres, for 30 seconds 3 times, to dilate the NMO. Drainage rates after sinuplasty were evaluated for the caudal maxillary sinus in 5 cadaver heads and balloon sinuplasty was performed in 4 live horses. All skulls were examined to assess the efficacy of NMO dilation. RESULTS: Positioning of the balloon catheter was readily achieved in all heads. Dilation was observed endoscopically and confirmed on necropsy in all heads. Drainage rates from the caudal maxillary sinus increased significantly (approximately 1.5 x) in all 5 cadaver heads after sinuplasty (P=.001). CONCLUSIONS: Dilation of the NMO improved sinus drainage in all 5 cadaver heads. Endoscopic evaluation of the ostium revealed marked dilation of the NMO in live horses and indicates potential clinical use in standing horses. CLINICAL RELEVANCE: Balloon sinuplasty of the NMO opening is an easily performed, clinically applicable technique for use in standing horses. Clinical studies will be necessary to evaluate the efficacy of this technique in diseased sinuses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".