Literature DB >> 19557843

A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesions.

Wim van Hecke1, Guy Nagels, Griet Emonds, Alexander Leemans, Jan Sijbers, Johan van Goethem, Paul M Parizel.   

Abstract

PURPOSE: To examine the T(2)-normal appearing spinal cord of patients with multiple sclerosis (MS) using diffusion tensor imaging.
MATERIALS AND METHODS: Diffusion tensor images of the spinal cord were acquired from 21 healthy subjects, 11 MS patients with spinal cord lesions, and 10 MS patients without spinal cord lesions on the T(2)-weighted MR images. Different diffusion measures were evaluated using both a region of interest (ROI) -based and a diffusion tensor tractography-based segmentation approach.
RESULTS: It was observed that the FA, the transverse diffusivity lambda(perpendicular), and the ratio of the longitudinal and transverse diffusivities (lambda(parallel)/lambda (perpendicular)) were significantly lower in the spinal cord of MS patients with spinal cord lesions compared with the control subjects using both the ROI method (P = 0.014, P = 0.028, and P = 0.039, respectively) and the tractography-based approach (P = 0.006, P = 0.037, and P = 0.012, respectively). For both image analysis methods, the FA and the lambda (parallel)/lambda (perpendicular) values were significantly different between the control group and the MS patient group without T(2) spinal cord lesions (P = 0.013).
CONCLUSION: Our results suggest that the spinal cord may still be affected by MS, even when lesions are not detected on a conventional MR scan. In addition, we demonstrated that diffusion tensor tractography is a robust tool to analyze the spinal cord of MS patients. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19557843     DOI: 10.1002/jmri.21817

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  28 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.  Inter- and intra-rater reliability of diffusion tensor imaging parameters in the normal pediatric spinal cord.

Authors:  Nadia Barakat; Pallav Shah; Scott H Faro; John P Gaughan; Devon Middleton; M J Mulcahey; Feroze B Mohamed
Journal:  World J Radiol       Date:  2015-09-28

3.  Diffusion tensor imaging and fiber tractography in cervical compressive myelopathy: preliminary results.

Authors:  Joon Woo Lee; Jae Hyoung Kim; Jong Bin Park; Kun Woo Park; Jin S Yeom; Guen Young Lee; Heung Sik Kang
Journal:  Skeletal Radiol       Date:  2011-04-15       Impact factor: 2.199

4.  Fiber density index in the evaluation of the spinal cord in patients with multiple sclerosis.

Authors:  M Ukmar; A Montalbano; E Makuc; I Specogna; A Bratina; R Longo; M A Cova
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

5.  Longitudinal evidence for anterograde trans-synaptic degeneration after optic neuritis.

Authors:  Carmen Tur; Olivia Goodkin; Daniel R Altmann; Thomas M Jenkins; Katherine Miszkiel; Alessia Mirigliani; Camilla Fini; Claudia A M Gandini Wheeler-Kingshott; Alan J Thompson; Olga Ciccarelli; Ahmed T Toosy
Journal:  Brain       Date:  2016-02-17       Impact factor: 13.501

6.  Cervical spinal cord multiple sclerosis: evaluation with 2D multi-echo recombined gradient echo MR imaging.

Authors:  Matthew L White; Yan Zhang; Kathleen Healey
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

7.  Correlation between spinal cord diffusion tensor imaging and postural response latencies in persons with multiple sclerosis: A pilot study.

Authors:  Chu-Yu Lee; Jessie M Huisinga; In-Young Choi; Sharon G Lynch; Phil Lee
Journal:  Magn Reson Imaging       Date:  2019-11-05       Impact factor: 2.546

8.  Pulse-triggered DTI sequence with reduced FOV and coronal acquisition at 3T for the assessment of the cervical spinal cord in patients with myelitis.

Authors:  J Hodel; P Besson; O Outteryck; H Zéphir; D Ducreux; A Monnet; D Chéchin; M Zins; M Rodallec; J P Pruvo; P Vermersch; X Leclerc
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-23       Impact factor: 3.825

9.  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

10.  2D phase-sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times.

Authors:  Nico Papinutto; Regina Schlaeger; Valentina Panara; Eduardo Caverzasi; Sinyeob Ahn; Kevin J Johnson; Alyssa H Zhu; William A Stern; Gerhard Laub; Stephen L Hauser; Roland G Henry
Journal:  J Magn Reson Imaging       Date:  2014-12-08       Impact factor: 4.813

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