Literature DB >> 17425736

MRI to monitor treatment efficacy in multiple sclerosis.

Franz Fazekas1, Per Soelberg-Sorensen, Giancarlo Comi, Massimo Filippi.   

Abstract

It is the primary goal of disease modifying treatments in multiple sclerosis (MS) to prevent the occurrence of new clinical deficits and lessen or prevent accumulation of disability. As a consequence, clinical aspects constitute the major outcome variables in treatment trials and are also the leading factor for treatment decisions in individual patients. However, determining treatment efficacy by clinical evaluation suffers from limited objectivity, sensitivity, and specificity for the underlying pathophysiologic aspects, which may constitute the target of a given therapy. Magnetic resonance imaging (MRI) can partly overcome these limitations by showing morphologic aspects of the disease with clinical relevance and responsiveness to therapy. Within the past 10 years sufficient data have been collected to establish the accumulation of new/enlarging T2 lesions and gadolinium enhancing lesions, T2 lesion load, T1-hypointense lesions, and brain volume changes as reasonably well-defined markers of disease processes, which may serve to monitor treatment efficacy. Accordingly, these variables have been extensively used for probing the efficacy of disease modifying treatments. In part they are also suited to guide therapeutic decisions in the individual patient. Further options may come from the use of advanced techniques like magnetization transfer MRI, diffusion-weighted MRI, and proton magnetic resonance spectroscopy, which detect more subtle MS related tissue abnormalities. Irrespective of the technique employed, great care has to be given to the standardization and reproducibility of both data acquisition and interpretation when using MRI to monitor treatment efficacy. For the individual patient therapeutic decisions based on MRI need experience and caution.

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Year:  2007        PMID: 17425736     DOI: 10.1111/j.1552-6569.2007.00138.x

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  8 in total

Review 1.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

2.  Evolution of the blood-brain barrier in newly forming multiple sclerosis lesions.

Authors:  María I Gaitán; Colin D Shea; Iordanis E Evangelou; Roger D Stone; Kaylan M Fenton; Bibiana Bielekova; Luca Massacesi; Daniel S Reich
Journal:  Ann Neurol       Date:  2011-06-27       Impact factor: 10.422

3.  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

4.  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

5.  White matter spectroscopy in neuromyelitis optica: a case control study.

Authors:  Denis Bernardi Bichuetti; René Leandro Magalhães Rivero; Enedina Maria Lobato de Oliveira; Daniel May Oliveira; Nilton Amorin de Souza; Roberto Gomes Nogueira; Nitamar Abdala; Alberto Gabbai
Journal:  J Neurol       Date:  2009-01-22       Impact factor: 4.849

6.  Detection of Focal Longitudinal Changes in the Brain by Subtraction of MR Images.

Authors:  N Patel; M A Horsfield; C Banahan; A G Thomas; M Nath; J Nath; P B Ambrosi; E M L Chung
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-31       Impact factor: 3.825

7.  Characterization of Contrast-Enhancing and Non-contrast-enhancing Multiple Sclerosis Lesions Using Susceptibility-Weighted Imaging.

Authors:  Philipp Eisele; Katja Fischer; Kristina Szabo; Michael Platten; Achim Gass
Journal:  Front Neurol       Date:  2019-10-18       Impact factor: 4.003

Review 8.  Clinical, MRI, and CSF markers of disability progression in multiple sclerosis.

Authors:  Alberto Gajofatto; Massimiliano Calabrese; Maria Donata Benedetti; Salvatore Monaco
Journal:  Dis Markers       Date:  2013-11-10       Impact factor: 3.434

  8 in total

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