Literature DB >> 15993137

MRI T2 hypointensity of the dentate nucleus is related to ambulatory impairment in multiple sclerosis.

C W Tjoa1, R H B Benedict, B Weinstock-Guttman, A J Fabiano, R Bakshi.   

Abstract

OBJECTIVES: MRI T2 hypointensity in multiple sclerosis (MS) gray matter, suggesting iron deposition, is associated with physical disability, disease course, lesion load, and brain atrophy. Ambulatory dysfunction limits quality of life; however correlation with conventional MRI remains poor.
METHODS: Normalized intensity on T2-weighted images was obtained in the basal ganglia, thalamus, red nucleus, and dentate nucleus in 47 MS patients and 15 healthy controls. Brain T1-hypointense and FLAIR-hyperintense lesion volume, third ventricle width, brain parenchymal fraction and timed 25 foot walk (T25FW) were measured in the MS group.
RESULTS: T2 hypointensity was present throughout gray matter in MS vs. controls (all p<0.01). Dentate T2 hypointensity was the only MRI variable significantly correlated with T25FW (Pearson r=-0.355, p=0.007) and was also the best MRI correlate of physical disability (EDSS) score in regression modeling (r=-0.463, R(2)=0.223, p=0.004).
CONCLUSIONS: T2 hypointensity is present in subcortical gray matter nuclei in patients with MS vs. normal controls. Dentate nucleus T2 hypointensity is independently related to ambulatory impairment and disability, accounting for more variance than conventional lesion and atrophy measures. This study adds more weight to the notion that T2 hypointensity is a clinically relevant marker of tissue damage in MS.

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Year:  2005        PMID: 15993137     DOI: 10.1016/j.jns.2005.02.009

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  37 in total

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Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis.

Authors:  J Cohen-Adad; T Benner; D Greve; R P Kinkel; A Radding; B Fischl; B R Rosen; C Mainero
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Review 3.  Pathogenic implications of iron accumulation in multiple sclerosis.

Authors:  Rachel Williams; Cassandra L Buchheit; Nancy E J Berman; Steven M LeVine
Journal:  J Neurochem       Date:  2011-11-11       Impact factor: 5.372

4.  Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders.

Authors:  Niels Bergsland; Eleonora Tavazzi; Ferdinand Schweser; Dejan Jakimovski; Jesper Hagemeier; Michael G Dwyer; Robert Zivadinov
Journal:  CNS Drugs       Date:  2019-11       Impact factor: 5.749

Review 5.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

Review 6.  Dentate Update: Imaging Features of Entities That Affect the Dentate Nucleus.

Authors:  K M Bond; W Brinjikji; L J Eckel; D F Kallmes; R J McDonald; C M Carr
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

7.  Removing inter-subject technical variability in magnetic resonance imaging studies.

Authors:  Jean-Philippe Fortin; Elizabeth M Sweeney; John Muschelli; Ciprian M Crainiceanu; Russell T Shinohara
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

8.  In vivo dentate nucleus MRI relaxometry correlates with previous administration of Gadolinium-based contrast agents.

Authors:  Enrico Tedeschi; Giuseppe Palma; Antonietta Canna; Sirio Cocozza; Carmela Russo; Pasquale Borrelli; Roberta Lanzillo; Valentina Angelini; Emanuela Postiglione; Vincenzo Brescia Morra; Marco Salvatore; Arturo Brunetti; Mario Quarantelli
Journal:  Eur Radiol       Date:  2016-02-23       Impact factor: 5.315

9.  Basal Ganglia Iron in Patients with Multiple Sclerosis Measured with 7T Quantitative Susceptibility Mapping Correlates with Inhibitory Control.

Authors:  P Schmalbrock; R S Prakash; B Schirda; A Janssen; G K Yang; M Russell; M V Knopp; A Boster; J A Nicholas; M Racke; D Pitt
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-26       Impact factor: 3.825

10.  Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging.

Authors:  Amanda F Mejia; Elizabeth M Sweeney; Blake Dewey; Govind Nair; Pascal Sati; Colin Shea; Daniel S Reich; Russell T Shinohara
Journal:  Neuroimage       Date:  2015-12-28       Impact factor: 6.556

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