Literature DB >> 14652179

Multimodal magnetic resonance imaging of the central nervous system.

D Galanaud1, F Nicoli, Y Le Fur, M Guye, J-P Ranjeva, S Confort-Gouny, P Viout, E Soulier, P J Cozzone.   

Abstract

The physiological and biochemical properties of the diseased brain that can be explored with magnetic resonance imaging (MRI) are increasing. Progress in MR-based technology affords a large panel of MRI sequences that explore different phenomena and, thus, provide complementary informations. The diagnostic accuracy of MRI is improved by the combination of all MR modalities. However, this abundance of data requires an efficient multiparametric analysis to fully achieve the goal of the multimodal strategy. We will discuss the potential impact of this advanced MRI analysis in the clinical management and the therapeutical strategies of the most common brain pathologies (intracranial tumors, multiple sclerosis, stroke, epilepsy and dementia). This non-invasive approach is of utmost importance since it already improves the diagnosis and the therapeutic choice in the management of several central nervous system diseases.

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Year:  2003        PMID: 14652179     DOI: 10.1016/j.biochi.2003.09.014

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  4 in total

1.  A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis.

Authors:  Antonia Ceccarelli; Maria A Rocca; Paola Valsasina; Mariaemma Rodegher; Elisabetta Pagani; Andrea Falini; Giancarlo Comi; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

2.  Progressive dementia associated with ataxia or obesity in patients with Tropheryma whipplei encephalitis.

Authors:  Florence Fenollar; François Nicoli; Claire Paquet; Hubert Lepidi; Patrick Cozzone; Jean-Christophe Antoine; Jean Pouget; Didier Raoult
Journal:  BMC Infect Dis       Date:  2011-06-15       Impact factor: 3.090

3.  Proton MR Spectroscopy and Diffusion MR Imaging Monitoring to Predict Tumor Response to Interstitial Photodynamic Therapy for Glioblastoma.

Authors:  Magali Toussaint; Sophie Pinel; Florent Auger; Nicolas Durieux; Magalie Thomassin; Eloise Thomas; Albert Moussaron; Dominique Meng; François Plénat; Marine Amouroux; Thierry Bastogne; Céline Frochot; Olivier Tillement; François Lux; Muriel Barberi-Heyob
Journal:  Theranostics       Date:  2017-01-05       Impact factor: 11.556

4.  The relationship between the expression of tumor matrix-metalloproteinase and the characteristics of magnetic resonance imaging of human gliomas.

Authors:  Lihua Liu; Ming Zhang; Yuan Wang; Min Li
Journal:  J Biomed Res       Date:  2010-03
  4 in total

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