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Record W2006913299 · doi:10.1097/prs.0b013e318199f7ee

Use of the Upper Lateral Cartilage Sagittal Rotation Flap in Nasal Dorsum Reduction and Augmentation

2009· article· en· W2006913299 on OpenAlexaff
Bernd R. Neu

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsToronto General HospitalNorth York General Hospital
Fundersnot available
KeywordsMedicineSagittal planeAnatomyDorsumReduction (mathematics)CartilageRotation flapNasal cartilagesRhinoplastyNasal dorsumSurgeryRotation (mathematics)NoseGeometry

Abstract

fetched live from OpenAlex

BACKGROUND: Medial rotation flaps of the upper lateral cartilages are useful in nasal dorsum reduction surgery because they maintain the separation between the upper lateral cartilages and the septum, and usually avoid the need for spreader grafts. These flaps, however, can be technically challenging. Sagittal rotation flaps of the upper lateral cartilages are more flexible and simpler to apply in nasal dorsum reduction surgery. These flaps can also be utilized in nasal dorsum augmentation surgery. METHODS: Seventy-one patients underwent dorsal reduction surgery utilizing a posteroinferior sagittal rotation of the upper lateral cartilages. In one-third of patients, in whom there was significant cartilage excess, the sagittal rotation was supplemented with a simplified and incremental medial rotation. Dorsal augmentation with anterosuperior sagittal rotation of the upper lateral cartilages was performed in 11 patients with select caudal dorsal deficiencies. RESULTS: The use of a sagittal rotation simplified the upper lateral cartilage flap procedure in dorsal reductions and significantly reduced the need for medial rotations. The technique was intuitive and could be applied to minor and major dorsal reductions. In select dorsal augmentations, the flap helped avoid the need for potentially visible onlay grafts. CONCLUSION: Sagittal rotation of the upper lateral cartilages helps preserve the normal anatomy of the upper laterals and the important relationship between the upper laterals and the septum.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.247
Teacher spread0.223 · 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 designObservational
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

Citations34
Published2009
Admission routes1
Has abstractyes

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