Literature DB >> 16395175

CT imaging techniques for describing motions of the cervicothoracic junction and cervical spine during flexion, extension, and cervical traction.

Scott Simon1, Martin Davis, Dewey Odhner, Jayaram Udupa, Beth Winkelstein.   

Abstract

STUDY
DESIGN: Computerized tomographic study of human cadavers undergoing traction and flexion-extension bending.
OBJECTIVES: To investigate the feasibility of using computerized tomography techniques to quantify relative vertebral motions of the cervical spine and cervicothoracic junction (CTJ), and to define normative CTJ kinematics. SUMMARY OF BACKGROUND DATA: Despite developing an understanding of the mechanical behavior of the cervical spine, little remains known about the cervicothoracic junction. The CTJ is more difficult to image than other cervical regions given the anatomic features of the surrounding bones obstructing CTJ visualization. As such, limited data have been reported describing the responses of the CTJ for motions and loading in the sagittal plane, confounding the clinical assessment of its injuries and surgical treatments used at this region.
METHODS: Helical CT images of the cervical spine and CTJ were acquired incrementally during each of flexion, extension, and cervical traction. Vertebral surfaces were reconstructed using the specialized image analysis software, 3DVIEWNIX. A mathematical description of relative vertebral motions was derived by computing rigid transformations. Euler angles and translations were calculated. Regional spine stiffness was defined for traction.
RESULTS: The CTJ was found to be much stiffer (779 N/mm) than the cervical spine (317 N/mm) in tension. In flexion-extension bending, the CTJ was similar to the lower cervical spine. The CTJ demonstrated significantly less coupled motion than the cervical spine.
CONCLUSIONS: The CTJ, as a transition region between the cervical and thoracic spines, has unique kinematic characteristics. This application of kinematic CT methods is useful for quantifying unreported normative ranges of motion for the CTJ, difficult by other conventional radiologic means.

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Mesh:

Year:  2006        PMID: 16395175     DOI: 10.1097/01.brs.0000192679.25878.f9

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


  6 in total

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2.  Rigid model-based 3D segmentation of the bones of joints in MR and CT images for motion analysis.

Authors:  Jiamin Liu; Jayaram K Udupa; Punam K Saha; Dewey Odhner; Bruce E Hirsch; Sorin Siegler; Scott Simon; Beth A Winkelstein
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

3.  Biomechanical properties of human thoracic spine disc segments.

Authors:  Brian D Stemper; Derek Board; Narayan Yoganandan; Christopher E Wolfla
Journal:  J Craniovertebr Junction Spine       Date:  2010-01

4.  Variability of manual lumbar spine segmentation.

Authors:  Daniel J Cook; David A Gladowski; Heather N Acuff; Matthew S Yeager; Boyle C Cheng
Journal:  Int J Spine Surg       Date:  2012-12-01

5.  Influence of Axial Load and a 45-Degree Flexion Head Position on Cervical Spinal Stiffness in Healthy Young Adults.

Authors:  Léonie Hofstetter; Melanie Häusler; Petra Schweinhardt; Ursula Heggli; Denis Bron; Jaap Swanenburg
Journal:  Front Physiol       Date:  2021-12-23       Impact factor: 4.566

6.  Validation and application of a novel in vivo cervical spine kinematics analysis technique.

Authors:  Zongmiao Wan; Wenjin Wang; Chao Li; Junjie Li; Jinpeng Lin; Fei Tian; Ting Zhu; Danni Wu; Luqi Guo; Shaobai Wang
Journal:  Sci Rep       Date:  2021-12-20       Impact factor: 4.379

  6 in total

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