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Record W1900917843 · doi:10.1002/hed.24146

Reconstruction of an inferior orbital rim and cheek defect with a pedicled osteomyocutaneous submental flap

2015· article· en· W1900917843 on OpenAlexaff
Mohammad Al Felasi, Éric Bissada, Tareck Ayad

Bibliographic record

VenueHead & Neck · 2015
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsCheekMedicineOrbit (dynamics)AnatomySoft tissueSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to present the feasibility of reconstructing an inferior orbital rim and cheek defect with a pedicled osteomyocutaneous submental flap. METHOD: A 77-year-old women with a right nasosinusal adenoid cystic carcinoma invading soft tissues and skin of the cheek, the inferior rim of the orbit, the hard palate, and the middle turbinate is presented. A right radical maxillectomy with preservation of the eye was performed. A pedicled osteomyocutaneous submental island flap was used to reconstruct the defect. An inferior marginal mandibular section was incorporated with the flap and used to reconstruct the inferior orbital rim. RESULTS: Satisfactory cosmetic and functional results were reached by reconstructing the inferior rim of the orbit and the cheek skin using this flap. CONCLUSION: This is the first case report of an osteomyocutaneous submental flap for reconstruction of an inferior orbital rim defect.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.281
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2015
Admission routes1
Has abstractyes

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