Literature DB >> 21878451

Brain lesion location and clinical status 20 years after a diagnosis of clinically isolated syndrome suggestive of multiple sclerosis.

C M Dalton1, B Bodini, R S Samson, M Battaglini, L K Fisniku, A J Thompson, O Ciccarelli, D H Miller, D T Chard.   

Abstract

BACKGROUND/
OBJECTIVES: The objective of this study was to investigate associations between the spatial distribution of brain lesions and clinical outcomes in a cohort of people followed up 20 years after presentation with a clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS).
METHODS: Brain lesion probability maps (LPMs) of T1 and T2 lesions were generated from 74 people who underwent magnetic resonance imaging (MRI) and clinical assessment a mean of 19.9 years following a CIS. One-tailed t-test statistics were used to compare LPMs between the following groups: clinically definite (CD) MS and those who remained with CIS, with an abnormal MRI; people with MS and an Expanded Disability Status Scale (EDSS) ≤3 and >3; people with relapsing-remitting (RR) and secondary progressive (SP) MS. The probability of each voxel being lesional was analysed adjusting for age and gender using a multiple linear regression model.
RESULTS: People with CDMS were significantly more likely than those with CIS and abnormal scan 20 years after onset to have T1 and T2 lesions in the corona radiata, optic radiation, and splenium of the corpus callosum (periventricularly) and T2 lesions in the right fronto-occipital fasciculus. People with MS EDSS >3, compared with those with EDSS ≤3, were more likely to have optic radiation and left internal capsule T2 lesions. No significant difference in lesion distribution was noted between RRMS and SPMS.
CONCLUSION: This work demonstrates that lesion location characteristics are associated with CDMS and disability after long-term follow-up following a CIS. The lack of lesion spatial distribution differences between RRMS and SPMS suggests focal pathology affects similar regions in both subgroups.

Entities:  

Mesh:

Year:  2011        PMID: 21878451     DOI: 10.1177/1352458511420269

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


  10 in total

1.  Impact of Lesion Location on Longitudinal Myelin Water Fraction Change in Chronic Multiple Sclerosis Lesions.

Authors:  Sneha Pandya; Ulrike W Kaunzner; Sandra M Hurtado Rúa; Nancy Nealon; Jai Perumal; Timothy Vartanian; Thanh D Nguyen; Susan A Gauthier
Journal:  J Neuroimaging       Date:  2020-06-24       Impact factor: 2.486

2.  Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.

Authors:  Anne Kerbrat; Charley Gros; Atef Badji; Elise Bannier; Francesca Galassi; Benoit Combès; Raphaël Chouteau; Pierre Labauge; Xavier Ayrignac; Clarisse Carra-Dalliere; Josefina Maranzano; Tobias Granberg; Russell Ouellette; Leszek Stawiarz; Jan Hillert; Jason Talbott; Yasuhiko Tachibana; Masaaki Hori; Kouhei Kamiya; Lydia Chougar; Jennifer Lefeuvre; Daniel S Reich; Govind Nair; Paola Valsasina; Maria A Rocca; Massimo Filippi; Renxin Chu; Rohit Bakshi; Virginie Callot; Jean Pelletier; Bertrand Audoin; Adil Maarouf; Nicolas Collongues; Jérôme De Seze; Gilles Edan; Julien Cohen-Adad
Journal:  Brain       Date:  2020-07-01       Impact factor: 13.501

3.  ANALYSIS OF MULTIPLE SCLEROSIS LESIONS VIA SPATIALLY VARYING COEFFICIENTS.

Authors:  Tian Ge; Nicole Müller-Lenke; Kerstin Bendfeldt; Thomas E Nichols; Timothy D Johnson
Journal:  Ann Appl Stat       Date:  2014       Impact factor: 2.083

4.  Relevance of brain lesion location to cognition in relapsing multiple sclerosis.

Authors:  Francesca Rossi; Antonio Giorgio; Marco Battaglini; Maria Laura Stromillo; Emilio Portaccio; Benedetta Goretti; Antonio Federico; Bahia Hakiki; Maria Pia Amato; Nicola De Stefano
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

5.  Predicting outcome in clinically isolated syndrome using machine learning.

Authors:  V Wottschel; D C Alexander; P P Kwok; D T Chard; M L Stromillo; N De Stefano; A J Thompson; D H Miller; O Ciccarelli
Journal:  Neuroimage Clin       Date:  2014-12-04       Impact factor: 4.881

6.  Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment.

Authors:  Ani Eloyan; Haochang Shou; Russell T Shinohara; Elizabeth M Sweeney; Mary Beth Nebel; Jennifer L Cuzzocreo; Peter A Calabresi; Daniel S Reich; Martin A Lindquist; Ciprian M Crainiceanu
Journal:  PLoS One       Date:  2014-09-18       Impact factor: 3.240

Review 7.  The topographical model of multiple sclerosis: A dynamic visualization of disease course.

Authors:  Stephen C Krieger; Karin Cook; Scott De Nino; Madhuri Fletcher
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2016-09-07

8.  White matter lesion location correlates with disability in relapsing multiple sclerosis.

Authors:  Laura Gaetano; Baldur Magnusson; Petya Kindalova; Davorka Tomic; Diego Silva; Anna Altermatt; Stefano Magon; Nicole Müller-Lenke; Ernst-Wilhelm Radue; David Leppert; Ludwig Kappos; Jens Wuerfel; Dieter A Häring; Till Sprenger
Journal:  Mult Scler J Exp Transl Clin       Date:  2020-02-18

9.  The topographical model of MS: Empirical evaluation of the recapitulation hypothesis.

Authors:  Benjamin M Laitman; Karin Cook; Madhuri Fletcher; Stephen C Krieger
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-10-14

10.  Evolution from a first clinical demyelinating event to multiple sclerosis in the REFLEX trial: Regional susceptibility in the conversion to multiple sclerosis at disease onset and its amenability to subcutaneous interferon beta-1a.

Authors:  Marco Battaglini; Hugo Vrenken; Riccardo Tappa Brocci; Giordano Gentile; Ludovico Luchetti; Adriaan Versteeg; Mark S Freedman; Bernard M J Uitdehaag; Ludwig Kappos; Giancarlo Comi; Andrea Seitzinger; Dominic Jack; Maria Pia Sormani; Frederik Barkhof; Nicola De Stefano
Journal:  Eur J Neurol       Date:  2022-04-04       Impact factor: 6.288

  10 in total

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