Literature DB >> 18843574

Picturing multiple sclerosis: conventional and diffusion tensor imaging.

Robert J Fox1.   

Abstract

Magnetic resonance imaging (MRI) has provided an unparalleled window into understanding multiple sclerosis (MS). Through recognition of relatively specific characteristics of MS, MRI has become an integral part of patient initial evaluation and long-term management. MRI has now been integrated into the formal diagnostic criteria, whereby new lesions can fulfill either dissemination in space or dissemination in time criteria. Long-term MS therapies significantly reduce the development of new lesions as measured by MRI, and clinical trial methodology now routinely uses MRI as the primary outcome in Phase I/II MS trials. Despite the advantages provided by MRI, conventional imaging indicates only the presence of injury to the central nervous system, providing little information on either the severity of injury or its later recovery. Several advanced imaging methodologies such as diffusion tensor imaging (DTI) provide a greater dynamic range for evaluating tissue integrity. DTI has provided useful insights into the pathogenesis of MS, both within lesions as well as within the white matter which appears normal on conventional imaging. Evidence from animal models suggests that DTI may differentiate axonal injury from demyelination and therefore may be useful in the evaluation of neuroprotective therapies.

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Year:  2008        PMID: 18843574     DOI: 10.1055/s-0028-1083689

Source DB:  PubMed          Journal:  Semin Neurol        ISSN: 0271-8235            Impact factor:   3.420


  19 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.  Layered genetic control of DNA methylation and gene expression: a locus of multiple sclerosis in healthy individuals.

Authors:  Jean Shin; Celine Bourdon; Manon Bernard; Michael D Wilson; Eva Reischl; Melanie Waldenberger; Barbara Ruggeri; Gunter Schumann; Sylvane Desrivieres; Alexander Leemans; Michal Abrahamowicz; Gabriel Leonard; Louis Richer; Luigi Bouchard; Daniel Gaudet; Tomas Paus; Zdenka Pausova
Journal:  Hum Mol Genet       Date:  2015-07-28       Impact factor: 6.150

3.  Diffusion tensor imaging of the optic tracts in multiple sclerosis: association with retinal thinning and visual disability.

Authors:  Hormuzdiyar H Dasenbrock; Seth A Smith; Arzu Ozturk; Sheena K Farrell; Peter A Calabresi; Daniel S Reich
Journal:  J Neuroimaging       Date:  2011-04       Impact factor: 2.486

4.  Chronic T2 Lesions in Multiple Sclerosis are Heterogeneous Regarding Phase MR Imaging.

Authors:  S Siemonsen; K L Young; M Bester; J Sedlacik; C Heesen; J Fiehler; J-P Stellmann
Journal:  Clin Neuroradiol       Date:  2015-04-18       Impact factor: 3.649

5.  Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis.

Authors:  Jiwon Oh; Kathleen Zackowski; Min Chen; Scott Newsome; Shiv Saidha; Seth A Smith; Marie Diener-West; Jerry Prince; Craig K Jones; Peter C M Van Zijl; Peter A Calabresi; Daniel S Reich
Journal:  Mult Scler       Date:  2012-08-13       Impact factor: 6.312

6.  Identifying the start of multiple sclerosis injury: a serial DTI study.

Authors:  Daniel Ontaneda; Ken Sakaie; Jian Lin; Xiaofeng Wang; Mark J Lowe; Michael D Phillips; Robert J Fox
Journal:  J Neuroimaging       Date:  2014-02-23       Impact factor: 2.486

7.  Lack of Visual Habituation in Multiple Sclerosis: An Electrophysiological Study.

Authors:  Levent Sinan Bir; Eylem Degirmenci; Cagdas Erdogan
Journal:  Neuroophthalmology       Date:  2013-01-29

8.  Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis.

Authors:  Jiwon Oh; Shiv Saidha; Min Chen; Seth A Smith; Jerry Prince; Craig Jones; Marie Diener-West; Peter C M van Zijl; Daniel S Reich; Peter A Calabresi
Journal:  Neurology       Date:  2013-01-16       Impact factor: 9.910

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

10.  Measuring Brain Tissue Integrity during 4 Years Using Diffusion Tensor Imaging.

Authors:  D Ontaneda; K Sakaie; J Lin; X-F Wang; M J Lowe; M D Phillips; R J Fox
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-22       Impact factor: 3.825

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