Literature DB >> 12045719

The clinico-radiological paradox in multiple sclerosis revisited.

Frederik Barkhof1.   

Abstract

The use of magnetic resonance imaging as a surrogate outcome measure in clinical trials, or even as a prognosticator in the assessment of the natural evolution, assumes a close relationship between extent and rate of development of magnetic resonance imaging abnormalities with the clinical status and rate of development of disability. While it may seem obvious that patients who develop new lesions are worse off than those without new lesions, the association between clinical findings and radiological extent of involvement is generally poor. In this review, various confounders are discussed, including inappropriate clinical rating, lack of histopathological specificity (especially for axonal loss), neglect of spinal cord involvement, underestimation of damage to the normal appearing brain tissue (both white and gray matter), and masking effects of cortical adaptation. It is concluded that much progression has been made in magnetic resonance techniques so that the clinico-radiological dissociation has indeed proved to be a paradox. Thus, the relevance of normal appearing brain tissue damage, residual brain volume, spinal cord damage and cerebral plasticity had to be reiterated. The increased awareness of the subtle interplay between these dimensions should be kept in mind when magnetic resonance is used as a surrogate outcome measure. This corroborates with conventional wisdom that one should not rely on a single magnetic resonance measure, but take full advantage of the fact that magnetic resonance is able to provide multidimensional information.

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Year:  2002        PMID: 12045719     DOI: 10.1097/00019052-200206000-00003

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  207 in total

1.  T1 and proton density at 7 T in patients with multiple sclerosis: an initial study.

Authors:  Katharine T Bluestein; David Pitt; Michael V Knopp; Petra Schmalbrock
Journal:  Magn Reson Imaging       Date:  2011-09-19       Impact factor: 2.546

2.  Imbalance of ionic conductances contributes to diverse symptoms of demyelination.

Authors:  Jay S Coggan; Steven A Prescott; Thomas M Bartol; Terrence J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

Review 3.  Assessing treatment effects on axonal loss--evidence from MRI monitored clinical trials.

Authors:  Frederik Barkhof
Journal:  J Neurol       Date:  2004-09       Impact factor: 4.849

4.  Short-term stability of T1 and T2 relaxation measures in multiple sclerosis normal appearing white matter.

Authors:  Alice L W Liang; Irene M Vavasour; Burkhard Mädler; Anthony L Traboulsee; Donna J Lang; David K B Li; Alex L MacKay; Cornelia Laule
Journal:  J Neurol       Date:  2011-11-26       Impact factor: 4.849

5.  Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis.

Authors:  David J Hawellek; Joerg F Hipp; Christopher M Lewis; Maurizio Corbetta; Andreas K Engel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

6.  Functional connectivity changes in multiple sclerosis patients: a graph analytical study of MEG resting state data.

Authors:  Menno M Schoonheim; Jeroen J G Geurts; Doriana Landi; Linda Douw; Marieke L van der Meer; Hugo Vrenken; Chris H Polman; Frederik Barkhof; Cornelis J Stam
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

Review 7.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

8.  Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis.

Authors:  Jiwon Oh; Shiv Saidha; Min Chen; Seth A Smith; Jerry Prince; Craig Jones; Marie Diener-West; Peter C M van Zijl; Daniel S Reich; Peter A Calabresi
Journal:  Neurology       Date:  2013-01-16       Impact factor: 9.910

9.  Multiple sclerosis: myeloperoxidase immunoradiology improves detection of acute and chronic disease in experimental model.

Authors:  Benjamin Pulli; Lionel Bure; Gregory R Wojtkiewicz; Yoshiko Iwamoto; Muhammad Ali; Dan Li; Stefan Schob; Kevin Li-Chun Hsieh; Andreas H Jacobs; John W Chen
Journal:  Radiology       Date:  2014-12-10       Impact factor: 11.105

10.  Relation between functional connectivity and disability in multiple sclerosis: a non-linear model.

Authors:  Silvia Tommasin; Laura De Giglio; Serena Ruggieri; Nikolaos Petsas; Costanza Giannì; Carlo Pozzilli; Patrizia Pantano
Journal:  J Neurol       Date:  2018-10-01       Impact factor: 4.849

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