Literature DB >> 21736429

Automated measurement of neural foramen cross-sectional area during in vivo functional movement.

William J Anderst1.   

Abstract

An automated technique to measure neural foramen cross-sectional area during in vivo, multi-planar movements is presented. This method combines three-dimensional (3D) models of each vertebra obtained from CT scans with in vivo movement data collected using high-speed biplane radiography. A novel computer algorithm that automatically traces a path around the bony boundary that defines the neural foramen at every frame of X-ray data is described. After identifying the neural foramen boundary, the cross-sectional area is calculated. The technique is demonstrated using data collected from a patient with cervical radiculopathy who is tested before and after conservative treatment. The technique presented here can be applied when 3D, dynamic, functional movements are performed. Neural foramen cross-sectional area can be quantified at specific angles of intervertebral rotation, allowing for matched comparisons between two trials or two test sessions. The present technique is ideal for longitudinal studies involving subjects who receive conservative or surgical treatments that may affect spine motion.

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Year:  2011        PMID: 21736429     DOI: 10.1080/10255842.2011.590450

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  6 in total

Review 1.  Systematic review of radiological cervical foraminal grading systems.

Authors:  James Meacock; Moritz Schramm; Senthil Selvanathan; Stuart Currie; Deborah Stocken; David Jayne; Simon Thomson
Journal:  Neuroradiology       Date:  2021-01-04       Impact factor: 2.804

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
Journal:  Surg Radiol Anat       Date:  2017-03-25       Impact factor: 1.246

3.  Dimensions of the cervical neural foramen in conditions of spinal deformity: an ex vivo biomechanical investigation using specimen-specific CT imaging.

Authors:  Zachary A Smith; Saeed Khayatzadeh; Joshua Bakhsheshian; Michael Harvey; Robert M Havey; Leonard I Voronov; Muturi G Muriuki; Avinash G Patwardhan
Journal:  Eur Spine J       Date:  2016-02-01       Impact factor: 3.134

4.  The effects of age, pathology, and fusion on cervical neural foramen area.

Authors:  Clarissa M LeVasseur; Samuel Pitcairn; Jeremy Shaw; William F Donaldson; Joon Y Lee; William J Anderst
Journal:  J Orthop Res       Date:  2020-03-20       Impact factor: 3.494

5.  Three-Dimensional Computed Tomography-Based Specimen-Specific Kinematic Model for Ex Vivo Assessment of Lumbar Neuroforaminal Space.

Authors:  Robert M Havey; Jeremy Goodsitt; Saeed Khayatzadeh; Muturi Muriuki; Tejaswy Potluri; Leonard I Voronov; Laurie M Lomasney; Avinash G Patwardhan
Journal:  Spine (Phila Pa 1976)       Date:  2015-07-15       Impact factor: 3.241

6.  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
Journal:  J Spine Surg       Date:  2020-03
  6 in total

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