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Record W2326612935 · doi:10.2500/ajra.2013.27.3860

Mini-nasoseptal Flap for Recalcitrant Sphenoid Sinusitis

2013· article· en· W2326612935 on OpenAlexaff
Christopher F. Thompson, Adam S. DeConde, Alexander G. Chiu, John M. Lee, Jeffrey D. Suh

Bibliographic record

VenueAmerican Journal of Rhinology and Allergy · 2013
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineOstiumSurgerySinus (botany)RestenosisSinusitisStent

Abstract

fetched live from OpenAlex

BACKGROUND: Recalcitrant sphenoid sinusitis occurs in 27% of patients undergoing revision functional endoscopic sinus surgery. One of the main causes of disease recurrence in the sphenoid is cicatricial scarring of the ostium. Highly inflammatory lesions such as fungal balls or chronic mucoceles can predispose patients to restenosis. We present a novel use of a modified nasoseptal flap to cover exposed bone after sphenoid wide sinusotomy to prevent restenosis and expedite healing. METHODS: A case series was performed. RESULTS: The mini-nasoseptal flap was successful in preventing sphenoid ostium restenosis in nine patients undergoing endoscopic sinus surgery for highly inflammatory sphenoid sinus pathology with a mean postoperative follow-up of 8.4 months (range, 2-21 months). Patients had a mean of 2.3 prior sinus surgeries (range, 0-7 surgeries). Most common indications for the flap in this series included long-standing fungal sinusitis or fungal balls (n = 6) with or without significant sphenoid wall osteoneogenesis (n = 6). There were no significant side effects related to flap harvest or inset. CONCLUSION: The mini-nasoseptal flap decreases the risk of restenosis after sphenoid sinusotomy by preventing circumferential cicatricial scarring and offers an effective surgical option on the spectrum of sphenoid surgical interventions in select patients.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations7
Published2013
Admission routes1
Has abstractyes

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