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Endoscope‐Guided Balloon Sinuplasty of the Equine Nasomaxillary Opening

2009· article· en· W1976347357 on OpenAlexaff
C. Bell, Dane M. Tatarniuk, James L. Carmalt

Bibliographic record

VenueVeterinary Surgery · 2009
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineBalloon catheterEndoscopeCadaverBalloon dilationSurgeryBalloonMeatusMaxillary sinusCatheter

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.171
GPT teacher head0.382
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2009
Admission routes1
Has abstractyes

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