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Record W3154646492 · doi:10.1159/000511330

Autologous Calvarial Bone Remodeling Technique for Small to Medium-Sized Cranial Defects in Young Children: The “Switch-Cranioplasty” Technique

2021· article· en· W3154646492 on OpenAlexaff
Sonal Jain, Shelly Wang, Carolina Sandoval-Garcia, George M. Ibrahim, Walker L. Robinson, John Ragheb

Bibliographic record

VenuePediatric Neurosurgery · 2021
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCranioplastySkullMedicineCraniotomyCranial boneCraniosynostosisDura materOssificationSurgeryAnatomyParietal bone

Abstract

fetched live from OpenAlex

INTRODUCTION: Reconstruction of cranial defects in children less than 2 years of age, particularly when there is an associated dural defect, is challenging due to the need to accommodate active skull growth, limited options for autologous bone graft and thin calvarial bones. We use a simple remodeling technique that exploits the normal dura's inherent potential for new bone growth while covering the dural defect with adjacent skull. CASE PRESENTATION: We describe an alternating, two-piece craniotomy or "switch-cranioplasty technique" to repair an occipital meningocele. The two pieces of craniotomy bone flap created around the existing skull and dural defect are switched in the horizontal plane in order to cover the site of the defect and the abnormal dura of the meningocele closure. The area of the original skull defect is transposed laterally over the normal dura. The healing of the lateral skull defects is facilitated with autologous bone chips and dust and covered by periosteal flaps that stimulate spontaneous re-ossification. DISCUSSION: The advantages of this technique are the use of autologous bone adjacent to the skull defect, incorporation of the autologous bone into the growing skull, an acceptable cosmetic and functional outcome in a simple manner. The indications can be extended to include small to medium-sized calvarial defects secondary to leptomeningeal cyst and trauma.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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 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

Citations4
Published2021
Admission routes1
Has abstractyes

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