Literature DB >> 20359957

Three-dimensional dynamic in vivo motion of the cervical spine: assessment of measurement accuracy and preliminary findings.

Colin P McDonald1, Casey C Bachison, Victor Chang, Stephen W Bartol, Michael J Bey.   

Abstract

BACKGROUND CONTEXT: Previous research has quantified cervical spine motion with conventional measurement techniques (eg, cadaveric studies, motion capture systems, and fluoroscopy), but these techniques were not designed to accurately measure three-dimensional (3D) dynamic cervical spine motion under in vivo conditions.
PURPOSE: The purposes of this study were to characterize the accuracy of model-based tracking for measuring 3D dynamic cervical spine kinematics and to demonstrate its in vivo application. STUDY
DESIGN: Through accuracy assessment and application of technique, in vivo cervical spine motion was measured.
METHODS: The accuracy of model-based tracking for measuring cervical spine motion was determined in an in vitro experiment. Tantalum beads were implanted into the vertebrae of an ovine specimen, and biplane X-ray images were acquired as the specimen's neck was manually moved through neck extension and axial neck rotation. The 3D position and orientation of each cervical vertebra were determined from the biplane X-ray images using model-based tracking. For comparison, the position and orientation of each vertebra were also determined by tracking the position of the implanted beads with dynamic radiostereometric analysis. To demonstrate in vivo application of this technique, biplane X-ray images were acquired as a human subject performed two motion tasks: neck extension and axial neck rotation. The positions and orientations of each cervical vertebra were determined with model-based tracking. Cervical spine motion was reported with standard kinematic descriptions of translation and rotation.
RESULTS: The in vitro validation demonstrated that model-based tracking is accurate to within +/-0.6 mm and +/-0.6 degrees for measuring cervical spine motion. For the in vivo application, there were significant rotations about all three anatomical axes for both the neck extension and axial neck rotation motion tasks.
CONCLUSIONS: Model-based tracking is an accurate technique for measuring in vivo, 3D, dynamic cervical spine motion. Preliminary data acquired using this technique are in agreement with previous studies. It is anticipated that this experimental approach will enhance our understanding of cervical spine motion under normal and pathologic conditions. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20359957     DOI: 10.1016/j.spinee.2010.02.024

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  10 in total

1.  Measuring Three-Dimensional Thorax Motion Via Biplane Radiographic Imaging: Technique and Preliminary Results.

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2.  Dynamic measurements of cervical neural foramina during neck movements in asymptomatic young volunteers.

Authors:  Victor Chang; Azam Basheer; Timothy Baumer; Daniel Oravec; Colin P McDonald; Michael J Bey; Stephen Bartol; Yener N Yeni
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3.  Cervical spine intervertebral kinematics with respect to the head are different during flexion and extension motions.

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4.  Dimensional changes of the neuroforamina in subaxial cervical spine during in vivo dynamic flexion-extension.

Authors:  Haiqing Mao; Sean J Driscoll; Jing-Sheng Li; Guoan Li; Kirkham B Wood; Thomas D Cha
Journal:  Spine J       Date:  2015-12-08       Impact factor: 4.166

5.  Hierarchical model-based tracking of cervical vertebrae from dynamic biplane radiographs.

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Journal:  Spine J       Date:  2013-01-29       Impact factor: 4.166

7.  In vivo primary and coupled segmental motions of the healthy female head-neck complex during dynamic head axial rotation.

Authors:  Runsheng Guo; Chaochao Zhou; Cong Wang; Tsung-Yuan Tsai; Yan Yu; Wei Wang; Guoan Li; Thomas Cha
Journal:  J Biomech       Date:  2021-05-11       Impact factor: 2.789

Review 8.  RSA in Spine: A Review.

Authors:  Ali Humadi; Sulaf Dawood; Klas Halldin; Brian Freeman
Journal:  Global Spine J       Date:  2017-07-28

9.  Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification.

Authors:  Craig C Kage; Mohsen Akbari-Shandiz; Mary H Foltz; Rebekah L Lawrence; Taycia L Brandon; Nathaniel E Helwig; Arin M Ellingson
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10.  Correlation of neural foraminal motion after surgical treatment of cervical radiculopathy with long-term patient reported outcomes.

Authors:  Yener N Yeni; Timothy Baumer; Daniel Oravec; Azam Basheer; Michael J Bey; Stephen W Bartol; Victor Chang
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  10 in total

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