Literature DB >> 10727693

Brain atrophy in relapsing-remitting multiple sclerosis: relationship with 'black holes', disease duration and clinical disability.

A Paolillo1, C Pozzilli, C Gasperini, E Giugni, C Mainero, S Giuliani, V Tomassini, E Millefiorini, S Bastianello.   

Abstract

Recent MRI studies in multiple sclerosis have highlighted the potential role of brain atrophy evaluation as a putative marker of disease progression. In the present study, we evaluated the supratentorial and infratentorial brain volume in patients with relapsing remitting multiple sclerosis (RR MS) and in healthy subjects. Moreover, we determined whether brain volumes of MS patients are associated with different aspects of brain MRI abnormalities and clinical findings. Two-dimensional acquired MRI was performed on 52 relapsing-remitting multiple sclerosis and 30 healthy subjects. The volume of supratentorial and infratentorial structures was measured in selected representative slices. Gd-enhancement, T2 hyperintense, T1 hypointense (i.e. 'black holes') total lesion load, as well as the area of corpus callosum was calculated in the MS group and related to brain volume measures. Correlations between MRI parameters and clinical features were also considered. MS patients had significantly lower supratentorial, infratentorial brain volume and corpus callosum area than healthy subjects (P<0.01). Supratentorial brain volume was significantly related to corpus callosum area (r=0.58; P<0.01) and T1 hypointense lesion load (r=0.48; P<0.01), but not with T2 hyperintense lesion load. Infratentorial/supratentorial ratio was significantly associated with disease duration and EDSS score (r=-0.34; P=0.02 and r=-0.49; P<0.01, respectively). This study documents that brain atrophy is an early MRI finding in RR MS and it is closely related to 'black holes' burden. The use of relative values (infratentorial/supratentorial ratio) may increase the conspicuity of correlation between clinical and MRI findings.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10727693     DOI: 10.1016/s0022-510x(00)00259-8

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


  16 in total

Review 1.  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 2.  Brain and spinal cord atrophy in multiple sclerosis: role as a surrogate measure of disease progression.

Authors:  J H Simon
Journal:  CNS Drugs       Date:  2001       Impact factor: 5.749

3.  Axon reactive B cells clonally expanded in the cerebrospinal fluid of patients with multiple sclerosis.

Authors:  Yiping Zhang; Reng-Rong Da; Wenzhong Guo; Hui-Min Ren; Lutz G Hilgenberg; Raymond A Sobel; Wallace W Tourtellotte; Martin A Smith; Michael Olek; Sudhir Gupta; Richard T Robertson; Rashed Nagra; Stanley Van Den Noort; Yufen Qin
Journal:  J Clin Immunol       Date:  2005-05       Impact factor: 8.317

4.  Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Authors:  Natalia Nowaczyk; Alicja Kalinowska-Łyszczarz; Włodzimierz Paprzycki; Sławomir Michalak; Radosław Kaźmierski; Mikołaj A Pawlak
Journal:  Neurol Neurochir Pol       Date:  2019-02-11       Impact factor: 1.621

5.  Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study.

Authors:  C C Quattrocchi; A Cherubini; G Luccichenti; M G Grasso; U Nocentini; B Beomonte Zobel; U Sabatini
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

Review 6.  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

Review 7.  Axonal injury in multiple sclerosis.

Authors:  Kottil W Rammohan
Journal:  Curr Neurol Neurosci Rep       Date:  2003-05       Impact factor: 5.081

8.  Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load.

Authors:  Yong He; Alain Dagher; Zhang Chen; Arnaud Charil; Alex Zijdenbos; Keith Worsley; Alan Evans
Journal:  Brain       Date:  2009-12       Impact factor: 13.501

9.  Sub-millimeter imaging of brain-free water for rapid volume assessment in atrophic brains.

Authors:  Katherine C Gao; Govind Nair; Irene C M Cortese; Alan Koretsky; Daniel S Reich
Journal:  Neuroimage       Date:  2014-06-16       Impact factor: 6.556

10.  Cerebral atrophy as outcome measure in short-term phase 2 clinical trials in multiple sclerosis.

Authors:  I J van den Elskamp; B Boden; V Dattola; D L Knol; M Filippi; L Kappos; F Fazekas; K Wagner; C Pohl; R Sandbrink; C H Polman; B M J Uitdehaag; F Barkhof
Journal:  Neuroradiology       Date:  2010-01-05       Impact factor: 2.804

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.