Literature DB >> 30467212

Brain Atrophy Is Associated with Disability Progression in Patients with MS followed in a Clinical Routine.

E Ghione1, N Bergsland1, M G Dwyer1,2, J Hagemeier1, D Jakimovski1, I Paunkoski1, D P Ramasamy1, D Silva3, E Carl1, D Hojnacki4, C Kolb4, B Weinstock-Guttman4, R Zivadinov5,2.   

Abstract

BACKGROUND AND
PURPOSE: The assessment of brain atrophy in a clinical routine is not performed routinely in multiple sclerosis. Our aim was to determine the feasibility of brain atrophy measurement and its association with disability progression in patients with MS followed in a clinical routine for 5 years.
MATERIALS AND METHODS: A total of 1815 subjects, 1514 with MS and 137 with clinically isolated syndrome and 164 healthy individuals, were collected retrospectively. Of 11,794 MR imaging brain scans included in the analysis, 8423 MRIs were performed on a 3T, and 3371 MRIs, on a 1.5T scanner. All patients underwent 3D T1WI and T2-FLAIR examinations at all time points of the study. Whole-brain volume changes were measured by percentage brain volume change/normalized brain volume change using SIENA/SIENAX on 3D T1WI and percentage lateral ventricle volume change using NeuroSTREAM on T2-FLAIR.
RESULTS: Percentage brain volume change failed in 36.7% of the subjects; percentage normalized brain volume change, in 19.2%; and percentage lateral ventricle volume change, in 3.3% because of protocol changes, poor scan quality, artifacts, and anatomic variations. Annualized brain volume changes were significantly different between those with MS and healthy individuals for percentage brain volume change (P < .001), percentage normalized brain volume change (P = .002), and percentage lateral ventricle volume change (P = .01). In patients with MS, mixed-effects model analysis showed that disability progression was associated with a 21.9% annualized decrease in percentage brain volume change (P < .001) and normalized brain volume (P = .002) and a 33% increase in lateral ventricle volume (P = .004).
CONCLUSIONS: All brain volume measures differentiated MS and healthy individuals and were associated with disability progression, but the lateral ventricle volume assessment was the most feasible.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 30467212      PMCID: PMC6295216          DOI: 10.3174/ajnr.A5876

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  29 in total

1.  Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

Authors:  Stephen M Smith; Yongyue Zhang; Mark Jenkinson; Jacqueline Chen; P M Matthews; Antonio Federico; Nicola De Stefano
Journal:  Neuroimage       Date:  2002-09       Impact factor: 6.556

2.  Assessing brain atrophy rates in a large population of untreated multiple sclerosis subtypes.

Authors:  N De Stefano; A Giorgio; M Battaglini; M Rovaris; M P Sormani; F Barkhof; T Korteweg; C Enzinger; F Fazekas; M Calabrese; D Dinacci; G Tedeschi; A Gass; X Montalban; A Rovira; A Thompson; G Comi; D H Miller; M Filippi
Journal:  Neurology       Date:  2010-06-08       Impact factor: 9.910

Review 3.  Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine.

Authors:  Robert Zivadinov; Dejan Jakimovski; Sirin Gandhi; Rahil Ahmed; Michael G Dwyer; Dana Horakova; Bianca Weinstock-Guttman; Ralph R H Benedict; Manuela Vaneckova; Michael Barnett; Niels Bergsland
Journal:  Expert Rev Neurother       Date:  2016-05-13       Impact factor: 4.618

4.  Longitudinal brain volume measurement in multiple sclerosis: rate of brain atrophy is independent of the disease subtype.

Authors:  Nynke F Kalkers; Najim Ameziane; Joost C J Bot; Arjan Minneboo; Chris H Polman; Frederik Barkhof
Journal:  Arch Neurol       Date:  2002-10

Review 5.  Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis.

Authors:  R Zivadinov; A T Reder; M Filippi; A Minagar; O Stüve; H Lassmann; M K Racke; M G Dwyer; E M Frohman; O Khan
Journal:  Neurology       Date:  2008-07-08       Impact factor: 9.910

6.  The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis.

Authors:  Rose Gelineau-Morel; Valentina Tomassini; Mark Jenkinson; Heidi Johansen-Berg; Paul M Matthews; Jacqueline Palace
Journal:  Hum Brain Mapp       Date:  2011-10-05       Impact factor: 5.038

7.  The Effect of Disease-Modifying Drugs on Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: A Meta-Analysis.

Authors:  Pierre Branger; Jean-Jacques Parienti; Maria Pia Sormani; Gilles Defer
Journal:  PLoS One       Date:  2016-03-16       Impact factor: 3.240

8.  Teriflunomide slows BVL in relapsing MS: A reanalysis of the TEMSO MRI data set using SIENA.

Authors:  Ernst-Wilhelm Radue; Till Sprenger; Laura Gaetano; Nicole Mueller-Lenke; Steve Cavalier; Karthinathan Thangavelu; Michael A Panzara; Jessica E Donaldson; Fiona M Woodward; Jens Wuerfel; Jerry S Wolinsky; Ludwig Kappos
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2017-08-09

9.  Establishing pathological cut-offs for lateral ventricular volume expansion rates.

Authors:  Michael G Dwyer; Jesper Hagemeier; Niels Bergsland; Dana Horakova; Jonathan R Korn; Nasreen Khan; Tomas Uher; Jennie Medin; Diego Silva; Manuela Vaneckova; Eva Kubala Havrdova; Robert Zivadinov
Journal:  Neuroimage Clin       Date:  2018-02-07       Impact factor: 4.881

10.  Progressive ventricular enlargement in patients with clinically isolated syndromes is associated with the early development of multiple sclerosis.

Authors:  C M Dalton; P A Brex; R Jenkins; N C Fox; K A Miszkiel; W R Crum; J I O'Riordan; G T Plant; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-08       Impact factor: 10.154

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  1 in total

1.  Disability Improvement Is Associated with Less Brain Atrophy Development in Multiple Sclerosis.

Authors:  E Ghione; N Bergsland; M G Dwyer; J Hagemeier; D Jakimovski; D P Ramasamy; D Hojnacki; A A Lizarraga; C Kolb; S Eckert; B Weinstock-Guttman; R Zivadinov
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-06       Impact factor: 3.825

  1 in total

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