Literature DB >> 16018156

Resolution-dependent estimates of multiple sclerosis lesion loads.

M K Erskine1, L L Cook, K E Riddle, J R Mitchell, S J Karlik.   

Abstract

BACKGROUND: Changes in brain lesion loads assessed with magnetic resonance imaging obtained at 1.5 Telsa (T) are used as a measure of disease evolution in natural history studies and treatment trials of multiple sclerosis.
METHODS: A comparison was made between the total lesion volume and individual lesions observed on 1.5 T images and on high-resolution 4 T images. Lesions were quantified using a computer-assisted segmentation tool.
RESULTS: There was a 46% increase in the total number of lesions detected with 4 T versus 1.5 T imaging (p < 0.005). The 4 T also showed a 60% increase in total lesion volume when compared with the 1.5 T (p < 0.005). In several instances, the 1.5 T scans showed individual lesions that coalesced into larger areas of abnormality in the 4 T scans. The relationship between individual lesion volumes was linear (slope 1.231) showing that the lesion volume observed at 4 T increased with the size of the lesion detected at 1.5 T. The 4 T voxels were less than one quarter the size of those used at 1.5 T and there were no consistent differences between their signal-to-noise ratios.
CONCLUSIONS: The increase in signal strength that accompanied the increase in field strength compensated for the loss in signal amplitude produced by the use of smaller voxels. This enabled the acquisition of images with improved resolution, resulting in increased lesion detection at 4 T and larger lesion volumes.

Entities:  

Mesh:

Year:  2005        PMID: 16018156     DOI: 10.1017/s031716710000398x

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  6 in total

1.  Interpreting therapeutic effect in multiple sclerosis via MRI contrast enhancing lesions: now you see them, now you don't.

Authors:  Ilana R Leppert; S Narayanan; D Araújo; P S Giacomini; Y Lapierre; D L Arnold; G B Pike
Journal:  J Neurol       Date:  2014-02-26       Impact factor: 4.849

Review 2.  Time-series modeling of multiple sclerosis disease activity: a promising window on disease progression and repair potential?

Authors:  Dominik S Meier; Howard L Weiner; Charles R G Guttmann
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

Review 3.  Classification of white matter lesions on magnetic resonance imaging in elderly persons.

Authors:  Ki Woong Kim; James R MacFall; Martha E Payne
Journal:  Biol Psychiatry       Date:  2008-05-08       Impact factor: 13.382

Review 4.  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

Review 5.  Diffusion MR imaging in multiple sclerosis: technical aspects and challenges.

Authors:  E Pagani; R Bammer; M A Horsfield; M Rovaris; A Gass; O Ciccarelli; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

6.  Comparison of standard 1.5 T vs. 3 T optimized protocols in patients treated with glatiramer acetate. A serial MRI pilot study.

Authors:  Robert Zivadinov; David Hojnacki; Sara Hussein; Niels Bergsland; Ellen Carl; Jacqueline Durfee; Michael G Dwyer; Cheryl Kennedy; Bianca Weinstock-Guttman
Journal:  Int J Mol Sci       Date:  2012-05-10       Impact factor: 6.208

  6 in total

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