Literature DB >> 15124766

Diffusion tensor imaging in multiple sclerosis: a tool for monitoring changes in normal-appearing white matter.

Emmanuelle Cassol1, Jean-Philippe Ranjeva, Danielle Ibarrola, Claude Mékies, Claude Manelfe, Michel Clanet, Isabelle Berry.   

Abstract

Our objectives were to determine the reproducibility of diffusion tensor imaging (DTI) in volunteers and to evaluate the ability of the method to monitor longitudinal changes occurring in the normal-appearing white matter (NAWM) of patients with multiple sclerosis (MS). DTI was performed three-monthly for one year in seven MS patients: three relapsing-remitting (RRMS), three secondary progressive (SPMS) and one relapsing SP. They were selected with a limited cerebral lesion load. Seven age- and sex-matched controls also underwent monthly examinations for three months. Diffusivity and anisotropy were quantified over the segmented whole supratentorial white matter, with the indices of trace (Tr) and fractional anisotropy (FA). Results obtained in volunteers show the reproducibility of the method. Patients had higher trace and lower anisotropy than matched controls (P < 0.0001). Over the follow-up, both Tr and FA indicated a recovery after the acute phase in RRMS and a progressive shift towards abnormal values in SPMS. Although this result is not statistically significant, it suggests that DTI is sensitive to microscopic changes occurring in tissue of normal appearance in conventional images and could be useful for monitoring the course of the disease, even though it was unable to clearly distinguish between the various physiopathological processes involved.

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Year:  2004        PMID: 15124766     DOI: 10.1191/1352458504ms997oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  28 in total

1.  A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values.

Authors:  R J Fox; K Sakaie; J-C Lee; J P Debbins; Y Liu; D L Arnold; E R Melhem; C H Smith; M D Philips; M Lowe; E Fisher
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

2.  Brain volume and diffusion markers as predictors of disability and short-term disease evolution in multiple sclerosis.

Authors:  P G Sämann; M Knop; E Golgor; S Messler; M Czisch; F Weber
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

Review 3.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

4.  Regional distribution of measurement error in diffusion tensor imaging.

Authors:  Stefano Marenco; Robert Rawlings; Gustavo K Rohde; Alan S Barnett; Robyn A Honea; Carlo Pierpaoli; Daniel R Weinberger
Journal:  Psychiatry Res       Date:  2006-06-21       Impact factor: 3.222

5.  Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain.

Authors:  H Ni; V Kavcic; T Zhu; S Ekholm; J Zhong
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

6.  Diffusion tensor imaging in children and adolescents: reproducibility, hemispheric, and age-related differences.

Authors:  David Bonekamp; Lidia M Nagae; Mahaveer Degaonkar; Melissa Matson; Wael M A Abdalla; Peter B Barker; Susumu Mori; Alena Horská
Journal:  Neuroimage       Date:  2006-11-07       Impact factor: 6.556

7.  A diffusion longitudinal MR imaging study in normal-appearing white matter in untreated relapsing-remitting multiple sclerosis.

Authors:  F G Garaci; V Colangelo; A Ludovici; F Gaudiello; S Marziali; D Centonze; L Boffa; G Simonetti; R Floris
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

8.  Longitudinal evaluation of clinically early relapsing-remitting multiple sclerosis with diffusion tensor imaging.

Authors:  Waqar Rashid; Andreas Hadjiprocopis; Gerard Davies; Collette Griffin; Declan Chard; Michaela Tiberio; Dan Altmann; Claudia Wheeler-Kingshott; Dan Tozer; Alan Thompson; David H Miller
Journal:  J Neurol       Date:  2008-03-20       Impact factor: 4.849

9.  Tract-based analysis of callosal, projection, and association pathways in pediatric patients with multiple sclerosis: a preliminary study.

Authors:  M S Vishwas; T Chitnis; R Pienaar; B C Healy; P E Grant
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-22       Impact factor: 3.825

10.  Relevance of the skewness index in DTI exploration of multiple sclerosis.

Authors:  Eliane Graulières; Jean-Albert Lotterie; Emmanuelle Cassol; Angélique Gerdelat; Michel Clanet; Isabelle Berry
Journal:  MAGMA       Date:  2008-11-08       Impact factor: 2.310

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