Literature DB >> 9827769

Defining multiple sclerosis disease activity using MRI T2-weighted difference imaging.

M A Lee1, S Smith, J Palace, P M Matthews.   

Abstract

Serial brain MRI scanning is widely used for assessing multiple sclerosis disease activity in the evaluation of new therapies. Traditionally, the net change in T2-weighted lesion volume between paired scans has been used as a measure of disease progression and as a secondary endpoint in definitive clinical trials. However, as the net change in T2-weighted lesion volume reflects only the difference between new and resolved T2-weighted lesions, this measure significantly under-represents the total T2-weighted lesion activity. Difference images produced by subtracting labelled T2-weighted lesion volumes from serial registered T2-weighted scans allows separate measurements of individual volumes of new and resolving T2-weighted lesions, which may reflect underlying disease activity more sensitively. We generated T2-weighted differences images to define T2-weighted lesion changes over 1 year for 19 patients with relapsing multiple sclerosis. The mean new T2-weighted lesion volume change was three times greater than the mean net T2-weighted lesion volume change over the study period. New T2-weighted lesion volumes were more strongly correlated with T1-weighted gadolinium-enhancing lesion volumes (r = 0.72, P = 0.001) than were the net T2-weighted lesion volume changes (r = 0.45, P = 0.01). Baseline T2-weighted lesion volume was more highly correlated with new T2-weighted lesion volumes (r = 0.89, P < 0.0001) than with net T2-weighted lesion change (r = 0.47, P < 0.001). There was a trend for patients who showed sustained clinical progression over the year to have a greater new T2-weighted lesion volume than those who did not. This difference was not seen with net T2-weighted lesion volume change. T2-weighted lesion difference images should provide an additional and sensitive tool for monitoring disease activity in multiple sclerosis. Independent definition of new and resolving T2-weighted lesion volumes also offers the potential for discrimination of the relative effects of experimental therapies on new inflammatory activity from the effects on oedema resolution and lesion repair.

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Year:  1998        PMID: 9827769     DOI: 10.1093/brain/121.11.2095

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  12 in total

1.  Self-refocused adiabatic pulse for spin echo imaging at 7 T.

Authors:  Priti Balchandani; Mohammad Mehdi Khalighi; Gary Glover; John Pauly; Daniel Spielman
Journal:  Magn Reson Med       Date:  2011-09-27       Impact factor: 4.668

2.  Multi-parametric neuroimaging reproducibility: a 3-T resource study.

Authors:  Bennett A Landman; Alan J Huang; Aliya Gifford; Deepti S Vikram; Issel Anne L Lim; Jonathan A D Farrell; John A Bogovic; Jun Hua; Min Chen; Samson Jarso; Seth A Smith; Suresh Joel; Susumu Mori; James J Pekar; Peter B Barker; Jerry L Prince; Peter C M van Zijl
Journal:  Neuroimage       Date:  2010-11-20       Impact factor: 6.556

3.  Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing.

Authors:  Sungwon Chung; Daniel Pelletier; Michael Sdika; Ying Lu; Jeffrey I Berman; Roland G Henry
Journal:  Neuroimage       Date:  2007-11-07       Impact factor: 6.556

4.  Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI.

Authors:  Benjamin M Ellingson; Albert Lai; Huytram N Nguyen; Phioanh L Nghiemphu; Whitney B Pope; Timothy F Cloughesy
Journal:  Clin Cancer Res       Date:  2015-04-21       Impact factor: 12.531

Review 5.  Automated detection of multiple sclerosis lesions in serial brain MRI.

Authors:  Xavier Lladó; Onur Ganiler; Arnau Oliver; Robert Martí; Jordi Freixenet; Laia Valls; Joan C Vilanova; Lluís Ramió-Torrentà; Alex Rovira
Journal:  Neuroradiology       Date:  2011-12-20       Impact factor: 2.804

6.  Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis.

Authors:  Y Duan; P G Hildenbrand; M P Sampat; D F Tate; I Csapo; B Moraal; R Bakshi; F Barkhof; D S Meier; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2008-02       Impact factor: 3.825

Review 7.  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

8.  Subtraction MR images in a multiple sclerosis multicenter clinical trial setting.

Authors:  Bastiaan Moraal; Dominik S Meier; Peter A Poppe; Jeroen J G Geurts; Hugo Vrenken; William M A Jonker; Dirk L Knol; Ronald A van Schijndel; Petra J W Pouwels; Christoph Pohl; Lars Bauer; Rupert Sandbrink; Charles R G Guttmann; Frederik Barkhof
Journal:  Radiology       Date:  2008-11-26       Impact factor: 11.105

Review 9.  Relationship between brain volume loss and cognitive outcomes among patients with multiple sclerosis: a systematic literature review.

Authors:  Timothy Vollmer; Lynn Huynh; Caroline Kelley; Philip Galebach; James Signorovitch; Allitia DiBernardo; Rahul Sasane
Journal:  Neurol Sci       Date:  2015-11-04       Impact factor: 3.307

10.  Spatiotemporal distribution pattern of white matter lesion volumes and their association with regional grey matter volume reductions in relapsing-remitting multiple sclerosis.

Authors:  Kerstin Bendfeldt; Jan Ole Blumhagen; Hanspeter Egger; Patrick Loetscher; Niklaus Denier; Pascal Kuster; Stefan Traud; Nicole Mueller-Lenke; Yvonne Naegelin; Achim Gass; Jochen Hirsch; Ludwig Kappos; Thomas E Nichols; Ernst-Wilhelm Radue; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2010-10       Impact factor: 5.038

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