Literature DB >> 18258345

Quality of motion considerations in numerical analysis of motion restoring implants of the spine.

Anton E Bowden1, Heather L Guerin, Marta L Villarraga, Avinash G Patwardhan, Jorge A Ochoa.   

Abstract

BACKGROUND: Motion restoring implants function in a dynamic environment that encompasses the full range of spinal kinematics. Accurate assessment of the in situ performance of these devices using numerical techniques requires model verification and validation against the well-established nonlinear quality of motion of the spine, as opposed to the previous norm of matching kinematic endpoint metrics such as range of motion and intervertebral disc pressure measurements at a single kinematic reference point.
METHODS: Experimental data was obtained during cadaveric testing of nine three-functional spinal unit (L3-S1) lumbar spine segments. Each specimen was tested from 8 Nm of applied flexion moment to 6 Nm of applied extension moment with an applied 400 N compressive follower preload. A nonlinear kinematic curve representing the spinal quality of motion (applied moment versus angular rotation) for the index finite element model was constructed and compared to the kinematic responses of the experimental specimens. The effect of spinal soft tissue structure mechanical behaviors on the fidelity of the model's quality of motion to experimental data was assessed by iteratively modifying the material representations of annulus fibrosus, nucleus pulposus, and ligaments.
FINDINGS: The present work demonstrated that for this model, the annulus fibrosus played a small role in the nonlinear quality of motion of the model, whereas changes in ligament representations had a large effect, as validated against the full kinematic range of motion. An anisotropic continuum representation of the annulus fibrosus was used, along with nonlinear fabric representations of the ligaments and a hyperelastic representation of the nucleus pulposus.
INTERPRETATION: Our results suggest that improvements in current methodologies broadly used in numerical simulations of the lumbar spine are needed to fully describe the highly nonlinear motion of the spine.

Mesh:

Year:  2008        PMID: 18258345     DOI: 10.1016/j.clinbiomech.2007.12.010

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  6 in total

1.  Advanced Multi-Axis Spine Testing: Clinical Relevance and Research Recommendations.

Authors:  Timothy P Holsgrove; Nikhil R Nayak; William C Welch; Beth A Winkelstein
Journal:  Int J Spine Surg       Date:  2015-07-17

2.  Elastic resistance of the spine: Why does motion preservation surgery almost fail?

Authors:  Alessandro Landi
Journal:  World J Clin Cases       Date:  2013-07-16       Impact factor: 1.337

3.  Construct Rigidity after Fatigue Loading in Pedicle Subtraction Osteotomy with or without Adjacent Interbody Structural Cages.

Authors:  Vedat Deviren; Jessica A Tang; Justin K Scheer; Jenni M Buckley; Murat Pekmezci; R Trigg McClellan; Christopher P Ames
Journal:  Global Spine J       Date:  2012-12-06

4.  A compliant-mechanism approach to achieving specific quality of motion in a lumbar total disc replacement.

Authors:  Peter A Halverson; Anton E Bowden; Larry L Howell
Journal:  Int J Spine Surg       Date:  2012-12-01

5.  The stability of long-segment and short-segment fixation for treating severe burst fractures at the thoracolumbar junction in osteoporotic bone: A finite element analysis.

Authors:  Yueh Wu; Chia-Hsien Chen; Fon-Yih Tsuang; Yi-Cheng Lin; Chang-Jung Chiang; Yi-Jie Kuo
Journal:  PLoS One       Date:  2019-02-04       Impact factor: 3.240

6.  Comparative Analysis of Optoelectronic Accuracy in the Laboratory Setting Versus Clinical Operative Environment: A Systematic Review.

Authors:  Bryan W Cunningham; Daina M Brooks
Journal:  Global Spine J       Date:  2022-04
  6 in total

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