Literature DB >> 21777679

Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord.

Jiao-Long Cui1, Chun-Yi Wen, Yong Hu, Kin-Cheung Mak, Ka-Hung Henry Mak, Keith Dip-Kei Luk.   

Abstract

The majority of nerve fibers in the spinal cord run longitudinally, playing an important role in connecting the brain to the peripheral nerves. There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of spinal cord microarchitecture. The current study sought to compare the organization of longitudinal nerve fibers between healthy and myelopathic spinal cords using entropy-based analysis of principal eigenvector mapping. A total of 22 subjects were recruited, including 14 healthy subjects, seven cervical myelopathy (CM) patients with single-level compression, and one patient suffering from multi-level compression. Diffusion tensor magnetic resonance (MR) images of the cervical spinal cord were obtained using a pulsed gradient, spin-echo echo-planar imaging (SE-EPI) sequence with a 3T MR system. Regions of interest (ROIs) were drawn manually to cover the spinal cord, and Shannon entropy was calculated in principal eigenvector maps. The results revealed no significant differences in orientation entropy values along the whole length of cervical spinal cord in healthy subjects (C2-3: 0.73±0.05; C3-4: 0.71±0.07; C4-5: 0.72±0.048; C5-6: 0.71±0.07; C6-7: 0.72±0.07). In contrast, orientation entropy values in myelopathic cord were significantly higher at the compression site (0.91±0.03), and the adjacent levels (above: 0.85±0.03; below: 0.83±0.05). This study provides a novel approach to analyze the orientation information in diffusion MR images of healthy and diseased spinal cord. These results indicate that orientation entropy can be applied to determine the contribution of each compression level to the overall disorganization of principal nerve tracts of myelopathic spinal cord in cases with multi-level compression.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21777679     DOI: 10.1016/j.neuroimage.2011.06.072

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

1.  Quantitative assessment of column-specific degeneration in cervical spondylotic myelopathy based on diffusion tensor tractography.

Authors:  Jiao-Long Cui; Xiang Li; Tin-Yan Chan; Kin-Cheung Mak; Keith Dip-Kei Luk; Yong Hu
Journal:  Eur Spine J       Date:  2014-08-24       Impact factor: 3.134

2.  Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; John W Grinstead; Langston T Holly
Journal:  Spine J       Date:  2014-02-20       Impact factor: 4.166

3.  Variation in anisotropy and diffusivity along the medulla oblongata and the whole spinal cord in adolescent idiopathic scoliosis: a pilot study using diffusion tensor imaging.

Authors:  Y Kong; L Shi; S C N Hui; D Wang; M Deng; W C W Chu; J C Y Cheng
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-30       Impact factor: 3.825

4.  Correlation of force control with regional spinal DTI in patients with cervical spondylosis without signs of spinal cord injury on conventional MRI.

Authors:  Påvel G Lindberg; Katherine Sanchez; Fidan Ozcan; François Rannou; Serge Poiraudeau; Antoine Feydy; Marc A Maier
Journal:  Eur Radiol       Date:  2015-06-27       Impact factor: 5.315

Review 5.  The current state-of-the-art of spinal cord imaging: applications.

Authors:  C A Wheeler-Kingshott; P W Stroman; J M Schwab; M Bacon; R Bosma; J Brooks; D W Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; A J Thompson; I Tracey
Journal:  Neuroimage       Date:  2013-07-14       Impact factor: 6.556

6.  ENTROPY BASED DTI QUALITY CONTROL VIA REGIONAL ORIENTATION DISTRIBUTION.

Authors:  M Farzinfar; C Dietrich; Rg Smith; Y Li; A Gupta; Z Liu; Ma Styner
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2012

7.  Diffusion imaging quality control via entropy of principal direction distribution.

Authors:  Mahshid Farzinfar; Ipek Oguz; Rachel G Smith; Audrey R Verde; Cheryl Dietrich; Aditya Gupta; Maria L Escolar; Joseph Piven; Sonia Pujol; Clement Vachet; Sylvain Gouttard; Guido Gerig; Stephen Dager; Robert C McKinstry; Sarah Paterson; Alan C Evans; Martin A Styner
Journal:  Neuroimage       Date:  2013-05-17       Impact factor: 6.556

Review 8.  Advances in MR imaging for cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; Langston T Holly
Journal:  Eur Spine J       Date:  2013-08-06       Impact factor: 3.134

9.  Effect of segmentation from different diffusive metric maps on diffusion tensor imaging analysis of the cervical spinal cord.

Authors:  Richu Jin; Yong Hu
Journal:  Quant Imaging Med Surg       Date:  2019-02

10.  Does diffusion tensor data reflect pathological changes in the spinal cord with chronic injury.

Authors:  Erjian Lin; Houqing Long; Guangsheng Li; Wanlong Lei
Journal:  Neural Regen Res       Date:  2013-12-25       Impact factor: 5.135

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