Advanced magnetic resonance imaging techniques to better understand multiple sclerosis

被引：2
作者：
Zaaraoui W. [1 ]
Audoin B. [1 ,2 ]
Pelletier J. [1 ,2 ]
Cozzone P.J. [1 ]
Ranjeva J.-P. [1 ]
机构：
[1] Centre de Résonance Magnétique Biologique et Médicale - UMR CNRS 6612, Faculté de Médecine, Université de la Méditerranée, Marseille
[2] Pôle de Neurosciences Cliniques, Service de Neurologie, Hôpital de La Timone, Marseille
来源：
Biophysical Reviews | 2010年 / 2卷 / 2期
关键词：
Diffusion MRI; Functional MRI; Magnetization transfer imaging; MR spectroscopy; MRI; Multiple sclerosis;
D O I：
10.1007/s12551-010-0031-6
中图分类号：
学科分类号：
摘要：
Magnetic resonance imaging (MRI) has considerably improved the diagnosis and monitoring of multiple sclerosis (MS). Conventional MRI such as T2-weighted and gadolinium-enhanced T1-weighted sequences detect focal lesions of the white matter, damage of the blood-brain barrier, and tissue loss and inflammatory activity within lesions. However, these conventional MRI metrics lack the specificity required for characterizing the underlying pathophysiology, especially diffuse damage occurring throughout the whole central nervous system. To overcome these limitations, advanced MRI techniques have been developed to get more sensitive and specific parameters of focal and diffuse brain damage. Among these techniques, magnetization transfer imaging, diffusion MRI, functional MRI, and magnetic resonance spectroscopy are the most significant. In this article, we provide an overview of these advanced MRI techniques and their contribution to the better characterization and understanding of MS. © 2010 International Union for Pure and Applied Biophysics (IUPAB) and Springer.
引用
收藏
页码：83 / 90
页数：7
相关论文
共 61 条
[1]  
Agosta F., Rovaris M., Pagani E., Sormani M.P., Comi G., Filippi M., Magnetization transfer MRI metrics predict the accumulation of disability 8 years later in patients with multiple sclerosis, Brain, 129, Pt 10, pp. 2620-2627, (2006)
[2]  
Arnold D.L., de Stefano N., Narayanan S., Matthews P.M., Proton MR spectroscopy in multiple sclerosis, Neuroimaging Clin N Am, 10, 4, pp. 789-798, (2000)
[3]  
Audoin B., Ibarrola D., Ranjeva J.P., Confort-Gouny S., Malikova I., Ali-Cherif A., Pelletier J., Cozzone P., Compensatory cortical activation observed by fMRI during a cognitive task at the earliest stage of MS, Hum Brain Mapp, 20, 2, pp. 51-58, (2003)
[4]  
Audoin B., Davies G., Rashid W., Fisniku L., Thompson A.J., Miller D.H., Voxel-based analysis of grey matter magnetization transfer ratio maps in early relapsing remitting multiple sclerosis, Mult Scler, 13, 4, pp. 483-489, (2007)
[5]  
Audoin B., Guye M., Reuter F., Au Duong M.V., Confort-Gouny S., Malikova I., Soulier E., Viout P., Cherif A.A., Cozzone P.J., Pelletier J., Ranjeva J.P., Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study, Neuroimage, 36, 4, pp. 1324-1330, (2007)
[6]  
Audoin B., Ibarrola D., Malikova I., Soulier E., Confort-Gouny S., Au Duong M.V., Reuter F., Viout P., Ali-Cherif A., Cozzone P., Pelletier J., Ranjeva J.P., Onset and underpinnings of white matter atrophy at the very early stage of multiple sclerosis - a two-year longitudinal MRI/MRSI study of corpus callosum, Mult Scler, 13, pp. 41-51, (2007)
[7]  
Bakshi R., Thompson A.J., Rocca M.A., Pelletier D., Dousset V., Barkhof F., Inglese M., Guttmann C.R., Horsfield M.A., Filippi M., MRI in multiple sclerosis: current status and future prospects, Lancet Neurol, 7, 7, pp. 615-625, (2008)
[8]  
Basser P.J., Pierpaoli C., Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI, J Magn Reson B, 111, 3, pp. 209-219, (1996)
[9]  
Beaulieu C., The basis of anisotropic water diffusion in the nervous system - a technical review, NMR Biomed, 15, 7-8, pp. 435-455, (2002)
[10]  
Cader S., Cifelli A., Abu-Omar Y., Palace J., Matthews P.M., Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis, Brain, 129, Pt 2, pp. 527-537, (2006)
1234567