Literature DB >> 21131911

Multiple sclerosis: Lesion location may predict disability in multiple sclerosis.

Jaume Sastre-Garriga1, Mar Tintoré.   

Abstract

Lesion location might turn out to be an important factor in long-term disability prediction in patients with primary progressive multiple sclerosis (MS). Using a lesion probability mapping approach, researchers have identified brain regions where the presence of MS lesions predicts an early need for bilateral walking support.

Entities:  

Mesh：

Year:  2010        PMID： 21131911     DOI： 10.1038/nrneurol.2010.161

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN： 1759-4758            Impact factor:   42.937


  9 in total

1.  Brainstem lesions in clinically isolated syndromes.

Authors:  M Tintore; A Rovira; G Arrambide; R Mitjana; J Río; C Auger; C Nos; M C Edo; J Castilló; A Horga; F Perez-Miralles; E Huerga; M Comabella; J Sastre-Garriga; X Montalban
Journal:  Neurology       Date:  2010-11-23       Impact factor: 9.910

2.  MRI dynamics of brain and spinal cord in progressive multiple sclerosis.

Authors:  D Kidd; J W Thorpe; B E Kendall; G J Barker; D H Miller; W I McDonald; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  1996-01       Impact factor: 10.154

3.  Statistical mapping analysis of lesion location and neurological disability in multiple sclerosis: application to 452 patient data sets.

Authors:  Arnaud Charil; Alex P Zijdenbos; Jonathan Taylor; Cyrus Boelman; Keith J Worsley; Alan C Evans; Alain Dagher
Journal:  Neuroimage       Date:  2003-07       Impact factor: 6.556

Review 4.  The pros and cons of early treatment of relapsing forms of multiple sclerosis.

Authors:  Xavier Montalban
Journal:  J Neurol       Date:  2004-09       Impact factor: 4.849

5.  Early MRI in optic neuritis: the risk for disability.

Authors:  J K Swanton; K T Fernando; C M Dalton; K A Miszkiel; D R Altmann; G T Plant; A J Thompson; D H Miller
Journal:  Neurology       Date:  2009-02-10       Impact factor: 9.910

6.  Infratentorial lesions predict long-term disability in patients with initial findings suggestive of multiple sclerosis.

Authors:  Arjan Minneboo; Frederick Barkhof; Chris H Polman; Bernard M J Uitdehaag; Dirk L Knol; Jonas A Castelijns
Journal:  Arch Neurol       Date:  2004-02

7.  Primary and transitional progressive MS: a clinical and MRI cross-sectional study.

Authors:  V L Stevenson; D H Miller; M Rovaris; F Barkhof; B Brochet; V Dousset; V Dousset; M Filippi; X Montalban; C H Polman; A Rovira; J de Sa; A J Thompson
Journal:  Neurology       Date:  1999-03-10       Impact factor: 9.910

8.  T2 lesion location really matters: a 10 year follow-up study in primary progressive multiple sclerosis.

Authors:  B Bodini; M Battaglini; N De Stefano; Z Khaleeli; F Barkhof; D Chard; M Filippi; X Montalban; C Polman; M Rovaris; A Rovira; R Samson; D Miller; A Thompson; O Ciccarelli
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-07-13       Impact factor: 10.154

9.  Metabolite changes in normal-appearing gray and white matter are linked with disability in early primary progressive multiple sclerosis.

Authors:  J Sastre-Garriga; G T Ingle; D T Chard; Lí Ramió-Torrentà; M A McLean; D H Miller; A J Thompson
Journal:  Arch Neurol       Date:  2005-04
  9 in total
  4 in total

1.  A comprehensive approach to the segmentation of multichannel three-dimensional MR brain images in multiple sclerosis.

Authors:  Sushmita Datta; Ponnada A Narayana
Journal:  Neuroimage Clin       Date:  2013-01-11       Impact factor: 4.881

Review 2.  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

3.  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

4.  Number of MRI T1-hypointensity corrected by T2/FLAIR lesion volume indicates clinical severity in patients with multiple sclerosis.

Authors:  Tetsuya Akaishi; Toshiyuki Takahashi; Kazuo Fujihara; Tatsuro Misu; Shunji Mugikura; Michiaki Abe; Tadashi Ishii; Masashi Aoki; Ichiro Nakashima
Journal:  PLoS One       Date:  2020-04-03       Impact factor: 3.240
  4 in total

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