Literature DB >> 11334990

Using diffusion-weighted MRI in multicenter clinical trials for multiple sclerosis.

M A Horsfield1.   

Abstract

This paper reviews the current state of knowledge about the use of diffusion-weighted MRI in the field of multiple sclerosis (MS) research. The contribution that diffusion-weighted imaging has made to our understanding of MS is critically appraised, and pointers are given to the sort of work that needs to be done before diffusion-weighted MRI could be recommended for inclusion in a clinical trial. The types of procedures that would be needed for quality assurance of diffusion data, and the data collection schemes that would lead to reliable data, are then reviewed. The quantitative nature of diffusion MRI makes it an attractive proposition for inclusion in clinical trials for MS therapeutic agents, but without further validation work with clinical correlates cannot be recommended at present.

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Year:  2001        PMID: 11334990     DOI: 10.1016/s0022-510x(01)00492-0

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  3 in total

1.  Diffusion-weighted MR imaging characteristics of an acute strokelike form of multiple sclerosis.

Authors:  C Rosso; P Remy; A Creange; P Brugieres; P Cesaro; H Hosseini
Journal:  AJNR Am J Neuroradiol       Date:  2006-05       Impact factor: 3.825

2.  Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain.

Authors:  Jelle Veraart; Trygve B Leergaard; Bjørnar T Antonsen; Wim Van Hecke; Ines Blockx; Ben Jeurissen; Yi Jiang; Annemie Van der Linden; G Allan Johnson; Marleen Verhoye; Jan Sijbers
Journal:  Neuroimage       Date:  2011-07-01       Impact factor: 6.556

3.  A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis.

Authors:  Marta Gaviraghi; Antonio Ricciardi; Fulvia Palesi; Wallace Brownlee; Paolo Vitali; Ferran Prados; Baris Kanber; Claudia A M Gandini Wheeler-Kingshott
Journal:  Front Neuroinform       Date:  2022-08-05       Impact factor: 3.739

  3 in total

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