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Record W2223551915

Follower load influences the kinematics and kinetics of cervical spine buckling during simulated head first impact: an ex vivo study

2012· article· en· W2223551915 on OpenAlexaboutno aff
Christopher R. Dennison, Amy Saari, Qingan Zhu, Sacha B. Nelson, Philip L. Morley, Eyal Itshayek, Thomas R. Oxland, Peter A. Cripton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBiomechanicsCadaverMedicineKinematicsWhiplashEx vivoCervical spineAnatomyCadaveric spasmSurgeryPoison controlIn vivoPhysics
DOInot available

Abstract

fetched live from OpenAlex

DURING SIMULATED HEAD FIRST IMPACT: AN EX VIVO STUDY Christopher R. Dennison, Amy Saari, Qingan Zhu , Tim Nelson, , Philip Morley, Eyal Itshayek, Tom Oxland and Peter A. Cripton Orthopaedic and Injury Biomechanics Group; Department of Mechanical Engineering Department of Orthopaedics; International Collaboration on Repair Discoveries University of British Columbia Vancouver, Canada; Department of Neurosurgery. Hadassah Hebrew University Hospital. Jerusalem. Israel INTRODUCTION Cervical spine injuries result in significant financial cost to the injured and society. Spinal cord injuries can lead to severe disability and death. Understanding of the biomechanics of these injuries is based on decades of study that consider in vivo and ex vivo axial compression. Early biomechanical studies used whole cadavers but lacked measurement of cervical kinetics and kinematics because the neck was surrounded by musculature. More recent studies use isolated cervical spine-head complexes that allow measurement of cervical kinetics and kinematics because musculature is removed. Both whole cadaver and spine-head studies suggest that, during head first impact, the cervical spine buckles as the head impact moves it toward the relatively more massive torso and further that the type of buckling and resulting injuries may be correlated [1]. Some impact studies describe cables tethered to cervical anatomy to simulate the role of neck musculature in controlling neck posture and have succesfuly recreated clinically-observed injuries. However, these cables do not recreate lines of action of compressive follower loads that neck musculature supplies in vivo and that has been shown through recent modeling to significantly increase neck injury risk [2]. For quasi-static loading, ex vivo experimental work has shown that compressive follower loads (guided at each level) increase the compressive loads at which buckling occurs but without follower loads the isolated cervical spine could not even support the weight of the head[3]. Due to this evidence, we hypothesize that it is important to simulate in vivo compressive follower load in ex vivo experiments for headfirst impact. Moreover, we hypothesize that buckling in past ex vivo impact experiments [1] may be due to absence of any approach to simulate musculature that is present in vivo. The objective of this work was to compare the kinematics/kinetics of buckling, during head-first impact, of isolated cervical head/neck complexes instrumented with follower load to those without preload. METHODS We simulated head-first impact of cervical spine-head complexes (n=12) using a drop-tower. Six complexes (Occ.T1) were instrumented with follower load (FL group), while six were not (NFL group). Occiputs of all specimens were fixed to a biofidelic surrogate head and T1 was encased in a mounting cup. The metrics relevant to buckling that are reported in this abstract are: impact speed; time to neck buckle; the vertebral levels at which the neck buckles; and the total angular divergence at the levels at which the neck buckled. The criterion to determine buckling and vertebral level of buckling was failure of the neck to support compressive force while C7 continued to translate toward the head and divergence of angular rotation across any two or three vertebral levels as indicated by opposing rotation direction that was greater than 2 degrees. RESULTS The mean impact speeds were 2.8 m/s (NFL) and 2.9 m/s (FL). There was a significant difference (p=0.009) in time to buckle between the NFL and FL group, which had means of 4.9 msec and 2.5 msec, respectively. For the FL group, 3/6 of specimens buckled across C4/5 (Fig. 1), 2/6 across C3/4 and 1/6 across C2/3. For the NFL group, buckling in 5/6 specimens involved C4 rotation being nominally zero while C3 and C5 had negative and positive rotation (sign convention in Fig. 1), respectively. The remaining NFL specimen buckled (opposing rotations) across C3/4. The FL specimens (avg. 5 degrees) had significantly smaller (p=0.002) rotations at buckle than the NFL (avg. 20 degrees). All specimens exhibited overall hyperextension across the spine (Fig. 1).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.361
Teacher spread0.336 · 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 designBench or experimental
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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