Literature DB >> 16394158

Applications of diffusion tensor MR imaging in multiple sclerosis.

Yulin Ge1, Meng Law, Robert I Grossman.   

Abstract

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system that is the most common cause of nontraumatic disability in young adults in the United States. In recent years, magnetic resonance imaging (MRI) has been established as an important paraclinical tool in MS for the assessment of clinical diagnosis, natural history, and treatment effects. In MS studies, there are many advantages to having a sensitive and reliable in vivo method for investigating the specific pathological changes of white matter and its integrity during the disease process. As a consequence, in the past decade, the application of MRI to the study of MS has been explored from conventional MRI to new advanced quantitative techniques with greater pathological specificity and sensitivity. Diffusion tensor imaging (DTI) is one of the most promising techniques with regard to MS. It quantifies the amount of nonrandom water diffusion within tissues and provides unique in vivo information about the pathological processes that affect water diffusion as a result of brain microstructural damage. This review outlines the current state of the art and future direction of DTI and fiber tractography in the study of MS disease.

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Year:  2005        PMID: 16394158     DOI: 10.1196/annals.1340.039

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  28 in total

1.  Differentiation of tumefactive demyelinating lesions from high-grade gliomas with the use of diffusion tensor imaging.

Authors:  C H Toh; K-C Wei; S-H Ng; Y-L Wan; M Castillo; C-P Lin
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

2.  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

3.  Diffusion tensor-MRI evidence for extra-axonal neuronal degeneration in caudate and thalamic nuclei of patients with multiple sclerosis.

Authors:  S Hannoun; F Durand-Dubief; C Confavreux; D Ibarrola; N Streichenberger; F Cotton; C R G Guttmann; D Sappey-Marinier
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

4.  NEURONAL WHITE MATTER PARCELLATION USING SPATIALLY COHERENT NORMALIZED CUTS.

Authors:  Luke Bloy; Madhura Ingalhalikar; Ragini Verma
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2011

5.  Regional differences in diffusion tensor imaging measurements: assessment of intrarater and interrater variability.

Authors:  A Ozturk; A D Sasson; J A D Farrell; B A Landman; A C B S da Motta; A Aralasmak; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-20       Impact factor: 3.825

6.  Assessing and minimizing the effects of noise and motion in clinical DTI at 3 T.

Authors:  Rob H N Tijssen; Jacobus F A Jansen; Walter H Backes
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

7.  Supplementary motor area connectivity and dual-task walking variability in multiple sclerosis.

Authors:  Nora E Fritz; Anne D Kloos; Deborah A Kegelmeyer; Parminder Kaur; Deborah S Nichols-Larsen
Journal:  J Neurol Sci       Date:  2018-11-10       Impact factor: 3.181

8.  Methods for identifying subject-specific abnormalities in neuroimaging data.

Authors:  Andrew R Mayer; Edward J Bedrick; Josef M Ling; Trent Toulouse; Andrew Dodd
Journal:  Hum Brain Mapp       Date:  2014-06-13       Impact factor: 5.038

Review 9.  Cerebral white matter integrity and cognitive aging: contributions from diffusion tensor imaging.

Authors:  David J Madden; Ilana J Bennett; Allen W Song
Journal:  Neuropsychol Rev       Date:  2009-08-25       Impact factor: 7.444

10.  Functional homotopic changes in multiple sclerosis with resting-state functional MR imaging.

Authors:  Yongxia Zhou; M Milham; X-N Zuo; C Kelly; H Jaggi; J Herbert; R I Grossman; Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2013-01-24       Impact factor: 3.825

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