Literature DB >> 11509079

T1 lesion load and cerebral atrophy as a marker for clinical progression in patients with multiple sclerosis. A prospective 18 months follow-up study.

M Sailer1, N A Losseff, L Wang, M L Gawne-Cain, A J Thompson, D H Miller.   

Abstract

We investigated the relationship between local tissue destruction, diffuse cerebral atrophy and clinical progression in patients with established multiple sclerosis (MS). Twenty-nine patients with MS (13 patients with relapsing--remitting and 16 with secondary progressive disease) were included in a prospective serial study. Cerebral volumes, T1 hypointense lesion volumes, T2 hyperintense lesion volumes at baseline and at 18 months follow-up, and the volume of monthly enhancing lesions from month 0 to month 9 were assessed on magnetic resonance imaging (MRI) brain scans using highly reproducible semi-automated quantitative techniques. The main outcome measures were the MRI parameters and disability on Kurtzkes' Expanded Disability Status Scale. There was a significant correlation between the change (increase) in T1 lesion volume and progressive cerebral atrophy, whereas no correlation between the T2 lesion volume and atrophy was seen over the same follow-up period. The change in T1 lesion volume correlated more strongly than did T2 lesion volume change with the change in disability. We conclude that hypointense abnormalities detected in T1-weighted brain scans and cerebral atrophy may be directly linked. Although one should bear in mind some potential for reversibility due to inflammatory, oedematous lesions, these MR measures are a useful marker of progressive tissue damage and clinical progression in established MS.

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Mesh:

Year:  2001        PMID: 11509079     DOI: 10.1046/j.1468-1331.2001.00147.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  15 in total

1.  Association between white matter microstructure, executive functions, and processing speed in older adults: the impact of vascular health.

Authors:  Heidi I L Jacobs; Elizabeth C Leritz; Victoria J Williams; Martin P J Van Boxtel; Wim van der Elst; Jelle Jolles; Frans R J Verhey; Regina E McGlinchey; William P Milberg; David H Salat
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

Review 2.  An artificial immune-activated neural network applied to brain 3D MRI segmentation.

Authors:  Akmal Younis; Mohamed Ibrahim; Mansur Kabuka; Nigel John
Journal:  J Digit Imaging       Date:  2007-12-11       Impact factor: 4.056

Review 3.  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

4.  Evolution of MS lesions to black holes under DNA vaccine treatment.

Authors:  Athina Papadopoulou; Stefanie von Felten; Stefan Traud; Amena Rahman; Joanne Quan; Robert King; Hideki Garren; Lawrence Steinman; Gary Cutter; Ludwig Kappos; Ernst Wilhelm Radue
Journal:  J Neurol       Date:  2012-01-06       Impact factor: 4.849

5.  Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS. A large scale, short-term follow-up study.

Authors:  Sarlota Mesaros; Maria A Rocca; Maria P Sormani; Arnaud Charil; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2008-07-03       Impact factor: 4.849

6.  Novel composite MRI scale correlates highly with disability in multiple sclerosis patients.

Authors:  Peter Kosa; Mika Komori; Ryan Waters; Tianxia Wu; Irene Cortese; Joan Ohayon; Kaylan Fenton; Jamie Cherup; Tomas Gedeon; Bibiana Bielekova
Journal:  Mult Scler Relat Disord       Date:  2015-08-28       Impact factor: 4.339

Review 7.  Interventions for the prevention of brain atrophy in multiple sclerosis : current status.

Authors:  Marco Rovaris; Massimo Filippi
Journal:  CNS Drugs       Date:  2003       Impact factor: 5.749

8.  Tissue-specific imaging is a robust methodology to differentiate in vivo T1 black holes with advanced multiple sclerosis-induced damage.

Authors:  M Riva; V N Ikonomidou; J J Ostuni; P van Gelderen; S Auh; J M Ohayon; F Tovar-Moll; N D Richert; J H Duyn; F Bagnato
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-30       Impact factor: 3.825

Review 9.  Ultrahigh field MRI in clinical neuroimmunology: a potential contribution to improved diagnostics and personalised disease management.

Authors:  Friedemann Paul; Jens Wuerfel; Tim Sinnecker; Joseph Kuchling; Petr Dusek; Jan Dörr; Thoralf Niendorf
Journal:  EPMA J       Date:  2015-08-27       Impact factor: 6.543

10.  Associations between T1 white matter lesion volume and regional white matter microstructure in aging.

Authors:  Elizabeth C Leritz; Juli Shepel; Victoria J Williams; Lewis A Lipsitz; Regina E McGlinchey; William P Milberg; David H Salat
Journal:  Hum Brain Mapp       Date:  2013-01-30       Impact factor: 5.038

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