Literature DB >> 20019109

Quantification of diffusivities of the human cervical spinal cord using a 2D single-shot interleaved multisection inner volume diffusion-weighted echo-planar imaging technique.

T H Kim1, L Zollinger, X F Shi, S E Kim, J Rose, A A Patel, E K Jeong.   

Abstract

BACKGROUND AND
PURPOSE: DTI is a highly sensitive technique, which can detect pathology not otherwise noted with conventional imaging methods. This paper provides the atlas of reliable normative in vivo DTI parameters in the cervical spinal cord and its potential applications toward quantifying pathology.
MATERIALS AND METHODS: In our study, we created a reference of normal diffusivities of the cervical spinal cord by using a 2D ss-IMIV-DWEPI technique from 14 healthy volunteers and compared parameters with those in 8 patients with CSM. The 2D ss-IMIV-DWEPI technique was applied in each subject to acquire diffusion-weighted images. FA, lambda( parallel), and lambda( perpendicular) were calculated. A reference of normal DTI indices from 12 regions of interest was created and compared with DTI indices of 8 patients.
RESULTS: A map of reference diffusivity values was obtained from healthy controls. We found statistically significant differences in diffusivities between healthy volunteers and patients with CSM with different severities of disease, by using FA, lambda( parallel), and lambda( perpendicular) values.
CONCLUSIONS: DTI using 2D ss-IMIV-DWPEI is sensitive to spinal cord pathology. This technique can be used to detect and quantify the degree of pathology within the cervical spinal cord from multiple disease states.

Entities:  

Mesh:

Year:  2009        PMID: 20019109      PMCID: PMC7964214          DOI: 10.3174/ajnr.A1881

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  15 in total

Review 1.  Diffusion tensor imaging: concepts and applications.

Authors:  D Le Bihan; J F Mangin; C Poupon; C A Clark; S Pappata; N Molko; H Chabriat
Journal:  J Magn Reson Imaging       Date:  2001-04       Impact factor: 4.813

2.  Diffusion tensor MRI of the spinal cord.

Authors:  M Ries; R A Jones; V Dousset; C T Moonen
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

3.  Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI.

Authors:  F Agosta; B Benedetti; M A Rocca; P Valsasina; M Rovaris; G Comi; M Filippi
Journal:  Neurology       Date:  2005-02-22       Impact factor: 9.910

4.  High-resolution DTI with 2D interleaved multislice reduced FOV single-shot diffusion-weighted EPI (2D ss-rFOV-DWEPI).

Authors:  Eun-Kee Jeong; Seong-Eun Kim; Junyu Guo; Eugene G Kholmovski; Dennis L Parker
Journal:  Magn Reson Med       Date:  2005-12       Impact factor: 4.668

5.  Line scan diffusion tensor MRI at low magnetic field strength: feasibility study of cervical spondylotic myelopathy in an early clinical stage.

Authors:  Masaaki Hori; Toshiyuki Okubo; Shigeki Aoki; Hiroshi Kumagai; Tsutomu Araki
Journal:  J Magn Reson Imaging       Date:  2006-02       Impact factor: 4.813

6.  Diffusion tensor MR imaging of the neurologically intact human spinal cord.

Authors:  B M Ellingson; J L Ulmer; S N Kurpad; B D Schmit
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-16       Impact factor: 3.825

7.  Toward a quantitative assessment of diffusion anisotropy.

Authors:  C Pierpaoli; P J Basser
Journal:  Magn Reson Med       Date:  1996-12       Impact factor: 4.668

8.  MR diffusion tensor imaging and fiber tracking in spinal cord compression.

Authors:  David Facon; Augustin Ozanne; Pierre Fillard; Jean-François Lepeintre; Caroline Tournoux-Facon; Denis Ducreux
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

9.  Diffusion tensor MR imaging in chronic spinal cord injury.

Authors:  B M Ellingson; J L Ulmer; S N Kurpad; B D Schmit
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

10.  Investigating cervical spinal cord structure using axial diffusion tensor imaging.

Authors:  Claudia A M Wheeler-Kingshott; Simon J Hickman; Geoffrey J M Parker; Olga Ciccarelli; Mark R Symms; David H Miller; Gareth J Barker
Journal:  Neuroimage       Date:  2002-05       Impact factor: 6.556

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  11 in total

1.  Using diffusion tensor imaging and immunofluorescent assay to evaluate the pathology of multiple sclerosis.

Authors:  Lauren V Zollinger; Tae Ho Kim; Kenneth Hill; Eun K Jeong; John W Rose
Journal:  J Magn Reson Imaging       Date:  2011-03       Impact factor: 4.813

2.  High-resolution diffusion-weighted imaging of neck lymph nodes using 2D-single-shot interleaved multiple inner volume imaging diffusion-weighted echo-planar imaging at 3T.

Authors:  J K Park; S-E Kim; G S Trieman; D Parker; E-K Jeong
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-09       Impact factor: 3.825

3.  Cervical Spinal Cord DTI Is Improved by Reduced FOV with Specific Balance between the Number of Diffusion Gradient Directions and Averages.

Authors:  A Crombe; N Alberti; B Hiba; M Uettwiller; V Dousset; T Tourdias
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-30       Impact factor: 3.825

Review 4.  Role of Diffusion Tensor MR Imaging in Degenerative Cervical Spine Disease: a Review of the Literature.

Authors:  A Banaszek; J Bladowska; P Podgórski; M J Sąsiadek
Journal:  Clin Neuroradiol       Date:  2015-09-30       Impact factor: 3.649

5.  Reduced field-of-view diffusion imaging of the human spinal cord: comparison with conventional single-shot echo-planar imaging.

Authors:  G Zaharchuk; E U Saritas; J B Andre; C T Chin; J Rosenberg; T J Brosnan; A Shankaranarayan; D G Nishimura; N J Fischbein
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-31       Impact factor: 3.825

6.  In vivo mapping of human spinal cord microstructure at 300mT/m.

Authors:  Tanguy Duval; Jennifer A McNab; Kawin Setsompop; Thomas Witzel; Torben Schneider; Susie Yi Huang; Boris Keil; Eric C Klawiter; Lawrence L Wald; Julien Cohen-Adad
Journal:  Neuroimage       Date:  2015-06-19       Impact factor: 6.556

7.  The Evaluation and Prediction of Laminoplasty Surgery Outcome in Patients with Degenerative Cervical Myelopathy Using Diffusion Tensor MRI.

Authors:  X Han; X Ma; D Li; J Wang; W Jiang; X Cheng; G Li; H Guo; W Tian
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-13       Impact factor: 3.825

8.  Improved in vivo diffusion tensor imaging of human cervical spinal cord.

Authors:  Junqian Xu; Joshua S Shimony; Eric C Klawiter; Abraham Z Snyder; Kathryn Trinkaus; Robert T Naismith; Tammie L S Benzinger; Anne H Cross; Sheng-Kwei Song
Journal:  Neuroimage       Date:  2012-11-21       Impact factor: 6.556

Review 9.  Diffusion tensor imaging studies of cervical spondylotic myelopathy: a systemic review and meta-analysis.

Authors:  Xiaofei Guan; Guoxin Fan; Xinbo Wu; Guangfei Gu; Xin Gu; Hailong Zhang; Shisheng He
Journal:  PLoS One       Date:  2015-02-11       Impact factor: 3.240

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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