Literature DB >> 28368985

Prediction of Cervical Spinal Joint Loading and Secondary Motion Using a Musculoskeletal Multibody Dynamics Model Via Force-Dependent Kinematics Approach.

Hao Diao1, Hua Xin1, Jun Dong2, Xijing He2, Dichen Li1, Zhongmin Jin1,3.   

Abstract

STUDY
DESIGN: A cervical spine biomechanical investigation using multibody dynamics.
OBJECTIVE: To develop a comprehensive cervical spine multibody dynamics model incorporated with the force-dependent kinematics (FDK) approach, and to study the influence of soft tissue deformation on the joint loading prediction. SUMMARY OF BACKGROUND DATA: Musculoskeletal multibody dynamics models have been widely used to analyze joint loading. Current cervical spine musculoskeletal models, however, neglect the joint internal motion caused by soft tissue deformation. A novel FDK approach is introduced, which can predict joint internal motion and spinal joint loading simultaneously.
METHODS: A comprehensive cervical spine musculoskeletal model with the posterior facet joints and essential ligaments was developed. To quantify the influence of soft tissue structures on joint loading prediction, four different models with different features were created. These newly developed models were validated, under flexion-extension movement. The predicted intervertebral disc loads (from C3-C4 to C5-C6) were compared with the published cadaveric experimental results. Moreover, the predicted facet joint forces, ligament forces, and anterior-posterior translations of instantaneous centers of rotation were also studied.
RESULTS: The obtained intervertebral disc loads were varied among different models. Model 3 provided the closest prediction of joint loading to the experimental results. Moreover, the facet joint and ligament forces were in similar range of magnitude as literature findings. The predicted instantaneous centers of rotation translational changes were in accordance with the in vivo kinematics observation.
CONCLUSION: In the present study, a validated cervical spine musculoskeletal model was developed, using multibody dynamics and FDK approach. It can simulate the function of musculature and consider joint internal motion, and thus provides more reliable joint loading prediction. This newly developed cervical model can be used as an efficient tool to study the biomechanical behaviors of human cervical spine, and to understand the fundamental pathologies of spinal pains. LEVEL OF EVIDENCE: N /A.

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Mesh:

Year:  2017        PMID: 28368985     DOI: 10.1097/BRS.0000000000002176

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  4 in total

Review 1.  Moment-rotation behavior of intervertebral joints in flexion-extension, lateral bending, and axial rotation at all levels of the human spine: A structured review and meta-regression analysis.

Authors:  Chaofei Zhang; Erin M Mannen; Hadley L Sis; Eileen S Cadel; Benjamin M Wong; Wenjun Wang; Bo Cheng; Elizabeth A Friis; Dennis E Anderson
Journal:  J Biomech       Date:  2019-12-16       Impact factor: 2.712

2.  Two-level ACDF with a zero-profile stand-alone spacer compared to conventional plating: a prospective randomized single-center study.

Authors:  M Scholz; B Onal; P Schleicher; A Pingel; C Hoffmann; F Kandziora
Journal:  Eur Spine J       Date:  2020-05-19       Impact factor: 3.134

3.  Sensitivity of the Cervical Disc Loads, Translations, Intradiscal Pressure, and Muscle Activity Due to Segmental Mass, Disc Stiffness, and Muscle Strength in an Upright Neutral Posture.

Authors:  Rizwan Arshad; Hendrik Schmidt; Marwan El-Rich; Kodjo Moglo
Journal:  Front Bioeng Biotechnol       Date:  2022-04-27

4.  Cervical non-fusion using biomimetic artificial disc and vertebra complex: technical innovation and biomechanics analysis.

Authors:  Jialiang Li; Pengrong OuYang; Xijing He; Xinyu Wei; Zhongwei Sun; Hui Dong; Zhijing Wen; Yibin Wang; Pengzhen Gu; Teng Lu; Ning Liu; Haopeng Li
Journal:  J Orthop Surg Res       Date:  2022-02-23       Impact factor: 2.359

  4 in total

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