Literature DB >> 14766399

Role of MRI in multiple sclerosis I: inflammation and lesions.

Robert Zivadinov1, Rohit Bakshi.   

Abstract

Conventional magnetic resonance imaging (MRI) can improve accuracy in the diagnosis of multiple sclerosis (MS). Metrics derived from conventional MRI are now routinely used to detect therapeutic effects and extend clinical observations. Hyperintense lesions on T2-weighted MRI scans are related primarily to increased water content and thus cannot distinguish between inflammation, edema, demyelination, Wallerian degeneration, and axonal loss. In addition, T2-weighted and post-contrast images are not sufficiently sensitive to detect occult disease affecting normal appearing gray and white matter. They do not show a reliable correlation with clinical measures of disability and do not provide a complete assessment of therapeutic outcomes. In the past few years a host of advanced MRI techniques and analysis methods have been introduced for the assessment of MS. These MRI techniques appear to have better reliability as surrogate markers for monitoring the pathologic processes that most likely are related to disease activity and clinical progression. They are able to reveal a range of tissue changes that include edema, inflammation, demyelination, axonal loss, and neurodegeneration. Therefore, in a disease with a high degree of longitudinal variability of clinical signs and symptoms within and between patients, and with no current adequate biological markers of disease progression, non-conventional MRI techniques provide a powerful tool to non-invasively study pathological substrates of overt lesions and normal appearing brain tissue. In particular, the use of these techniques is promising in elucidating mechanisms underlying the accumulation of tissue damage, repair and functional reorganization of neural pathways in patients with MS.

Entities:  

Mesh:

Year:  2004        PMID: 14766399     DOI: 10.2741/1251

Source DB:  PubMed          Journal:  Front Biosci        ISSN: 1093-4715


  21 in total

1.  Whole-brain atrophy in multiple sclerosis measured by automated versus semiautomated MR imaging segmentation.

Authors:  Jitendra Sharma; Michael P Sanfilipo; Ralph H B Benedict; Bianca Weinstock-Guttman; Frederick E Munschauer; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

Review 2.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

3.  Normal-appearing white matter permeability distinguishes poor cognitive performance in processing speed and working memory.

Authors:  A Eilaghi; A Kassner; I Sitartchouk; P L Francis; R Jakubovic; A Feinstein; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-30       Impact factor: 3.825

4.  Regional lobar atrophy predicts memory impairment in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov; Dominic A Carone; Bianca Weinstock-Guttman; Jeff Gaines; Cosimo Maggiore; Jitendra Sharma; Maria-Antonietta Tomassi; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

Review 5.  Pathophysiology of human paralytic rabies.

Authors:  Thiravat Hemachudha; Supaporn Wacharapluesadee; Erawady Mitrabhakdi; Henry Wilde; Kinjiro Morimoto; Richard A Lewis
Journal:  J Neurovirol       Date:  2005-02       Impact factor: 2.643

Review 6.  Risk factors for and management of cognitive dysfunction in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov
Journal:  Nat Rev Neurol       Date:  2011-05-10       Impact factor: 42.937

7.  Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis.

Authors:  Daniel García-Lorenzo; Sylvain Prima; Douglas L Arnold; D Louis Collins; Christian Barillot
Journal:  IEEE Trans Med Imaging       Date:  2011-02-14       Impact factor: 10.048

8.  Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity.

Authors:  Keren Regev; Brian C Healy; Fariha Khalid; Anu Paul; Renxin Chu; Shahamat Tauhid; Subhash Tummala; Camilo Diaz-Cruz; Radhika Raheja; Maria A Mazzola; Felipe von Glehn; Pia Kivisakk; Sheena L Dupuy; Gloria Kim; Tanuja Chitnis; Howard L Weiner; Roopali Gandhi; Rohit Bakshi
Journal:  JAMA Neurol       Date:  2017-03-01       Impact factor: 18.302

Review 9.  Neuropsychological impairment in systemic lupus erythematosus: a comparison with multiple sclerosis.

Authors:  R H B Benedict; J L Shucard; R Zivadinov; D W Shucard
Journal:  Neuropsychol Rev       Date:  2008-06-03       Impact factor: 7.444

Review 10.  The place of conventional MRI and newly emerging MRI techniques in monitoring different aspects of treatment outcome.

Authors:  Robert Zivadinov; Milena Stosic; Jennifer L Cox; Deepa P Ramasamy; Michael G Dwyer
Journal:  J Neurol       Date:  2008-03       Impact factor: 4.849

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