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Record W2329793214 · doi:10.1097/scs.0b013e3182653f29

Radial Forearm Free Flap With Titanium Mesh Sandwich Reconstruction in Complex Anterior Skull Base Defects

2012· article· en· W2329793214 on OpenAlexaff
Vincent L. Biron, Menachem Gross, Robert Broad, Hadi Seikaly, Erin D. Wright

Bibliographic record

VenueJournal of Craniofacial Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineSkullSurgeryNeurosurgeryForearmSinus (botany)Free flap

Abstract

fetched live from OpenAlex

BACKGROUND: Skull base reconstruction presents a number of challenges from anatomical and functional perspectives. This is especially the case with large anterior skull base defects with compromised recipient beds from repeated infection, multiple surgeries, or previous radiation. The purpose of the study was to demonstrate the use of the titanium mesh/radial forearm free flap (RFFF) mesh sandwich for reconstruction of large anterior skull base defects with a poor recipient bed or excessive bony defect. METHODS: Retrospective case series of 3 patients with complex anterior skull base defects reconstructed with a titanium mesh/RFFF mesh sandwich technique. RESULTS: Reconstruction of 3 cases using the titanium mesh/RFFF sandwich technique resulted in definitive treatment with no recurrent cerebral spinal fluid leaks, meningitis, or complications. CONCLUSIONS: The titanium mesh/RFFF sandwich is an excellent reconstructive option for large anterior skull base defects with a poor recipient bed. This approach is facilitated using a combined open and endonasal endoscopic approach in a multidisciplinary team composed of head and neck surgery, rhinology, and neurosurgery.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.033
GPT teacher head0.279
Teacher spread0.246 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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