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Record W2397073045 · doi:10.3233/978-1-60750-573-0-89

Finite Element Comparison of Different Growth Sparring Instrumentation Systems for the Early Treatment of Idiopathic Scoliosis

2010· article· en· W2397073045 on OpenAlexaff
Mark Driscoll, Alain Moreau, Stefan Parent

Bibliographic record

VenueStudies in health technology and informatics · 2010
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsInstrumentation (computer programming)ScoliosisFinite element methodIdiopathic scoliosisMedicineComputer sciencePhysical therapyStructural engineeringEngineeringSurgery

Abstract

fetched live from OpenAlex

Fusionless growth sparring implants seek to restore spinal alignment through the early intervention of pediatric scoliosis. Amongst a growing number of concepts, the stainless steel (SS) staple, flexible tether and shape memory alloy (SMA) staple have demonstrated their validity by retarding convex vertebral growth while modifying spinal alignment. The purpose of this study was to explore the biomechanics of these devices in a human scoliotic finite element model (FEM) constructed from patient data. A FEM of a scoliotic anterior spine (28 degrees thoracic curve) was developed to include growth dynamics and shown to represent typical scoliotic progression. The explored implant concepts were alternatively introduced around the apical vertebra of the FEM (T5-T9). Immediate impact (asymmetrical loading of the vertebral growth plates and correction of scoliotic curve) and long term impact (correction of scoliotic curve after 2 years of growth) were simulated and compared to the behavior of the non-instrumented model and patient data. Results of the difference in asymmetrical growth plate stress between instrumented and non-instrumented models reveal: insignificant initial impact by the SS staple, a 52% reduction with the flexible tether, and a 31% reduction with the SMA staple. Initial and long term modifications of coronal spinal alignment following simulated growth was respectfully 28 degrees to 62 degrees in non-instrumented model and patient data, 28 degrees to 31 degrees with SS staple, 23 degrees to 31 degrees with flexible tether, and 27 degrees to 34 degrees with SMA staple. The interpretation of such methods suggests that the long term correction, achieved via growth modulation, would benefit from improved control of asymmetrical stresses within the growth plates. From a biomechanical perspective, fusionless growth sparring techniques for the early treatment of idiopathic scoliosis show promising preliminary results.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.038
GPT teacher head0.333
Teacher spread0.295 · 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 designSimulation or modeling
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

Citations9
Published2010
Admission routes1
Has abstractyes

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