Literature DB >> 27105209

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

Robert Zivadinov1,2, Dejan Jakimovski1, Sirin Gandhi1, Rahil Ahmed1, Michael G Dwyer1, Dana Horakova3, Bianca Weinstock-Guttman4, Ralph R H Benedict4, Manuela Vaneckova5, Michael Barnett6, Niels Bergsland1,7.   

Abstract

INTRODUCTION: Brain atrophy measurement in multiple sclerosis (MS) has become an important outcome for determining patients at risk for developing physical and cognitive disability. AREAS COVERED: In this article, we discuss the methodological issues related to using this MRI metric routinely, in a clinical setting. Understanding trajectories of annualized whole brain, gray and white matter, thalamic volume loss, and enlargement of ventricular space in specific MS phenotypes is becoming increasingly important. Evidence is mounting that disease-modifying treatments exert a positive effect on slowing brain atrophy progression in MS. Expert Commentary: While there is a need to translate measurement of brain atrophy to clinical routine at the individual patient level, there are still a number of challenges to be met before this can actually happen, including how to account for biological confounding factors and pseudoatrophy, standardize acquisition and analyses parameters, which can influence the accuracy of the assessments.

Entities:  

Keywords:  Multiple sclerosis; biological confounding factors; brain atrophy; clinical routine; cognition; disability; disease-modifying treatment; gray matter; measurement; pseudoatrophy

Mesh:

Year:  2016        PMID: 27105209     DOI: 10.1080/14737175.2016.1181543

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  36 in total

Review 1.  Assessing Repair in Multiple Sclerosis: Outcomes for Phase II Clinical Trials.

Authors:  Maria Pia Sormani; Matteo Pardini
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

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

Authors:  E Ghione; N Bergsland; M G Dwyer; J Hagemeier; D Jakimovski; I Paunkoski; D P Ramasamy; D Silva; E Carl; D Hojnacki; C Kolb; B Weinstock-Guttman; R Zivadinov
Journal:  AJNR Am J Neuroradiol       Date:  2018-11-22       Impact factor: 3.825

3.  Plasma levels of protein C pathway proteins and brain magnetic resonance imaging volumes in multiple sclerosis.

Authors:  N Ziliotto; R Zivadinov; M Baroni; G Marchetti; D Jakimovski; N Bergsland; D P Ramasamy; B Weinstock-Guttman; S Straudi; F Manfredini; M Ramanathan; F Bernardi
Journal:  Eur J Neurol       Date:  2019-09-08       Impact factor: 6.089

4.  Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Authors:  Natalia Nowaczyk; Alicja Kalinowska-Łyszczarz; Włodzimierz Paprzycki; Sławomir Michalak; Radosław Kaźmierski; Mikołaj A Pawlak
Journal:  Neurol Neurochir Pol       Date:  2019-02-11       Impact factor: 1.621

5.  Genes associated with grey matter volume reduction in multiple sclerosis.

Authors:  Jie Sun; Yingying Xie; Qiuhui Wang; Junlin Shen; Wen Qin; Ningnannan Zhang; Chunshui Yu
Journal:  J Neurol       Date:  2021-08-29       Impact factor: 4.849

6.  Thalamic atrophy moderates associations among aerobic fitness, cognitive processing speed, and walking endurance in persons with multiple sclerosis.

Authors:  Brian M Sandroff; Robert W Motl; Cristina A F Román; Glenn R Wylie; John DeLuca; Gary R Cutter; Ralph H B Benedict; Michael G Dwyer; Robert Zivadinov
Journal:  J Neurol       Date:  2022-06-19       Impact factor: 6.682

7.  Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis.

Authors:  Antonia Valentina Genovese; Jesper Hagemeier; Niels Bergsland; Dejan Jakimovski; Michael G Dwyer; Deepa P Ramasamy; Alexis A Lizarraga; David Hojnacki; Channa Kolb; Bianca Weinstock-Guttman; Robert Zivadinov
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

8.  Long-standing multiple sclerosis neurodegeneration: volumetric magnetic resonance imaging comparison to Parkinson's disease, mild cognitive impairment, Alzheimer's disease, and elderly healthy controls.

Authors:  Dejan Jakimovski; Niels Bergsland; Michael G Dwyer; Jesper Hagemeier; Deepa P Ramasamy; Kinga Szigeti; Thomas Guttuso; David Lichter; David Hojnacki; Bianca Weinstock-Guttman; Ralph H B Benedict; Robert Zivadinov
Journal:  Neurobiol Aging       Date:  2020-02-08       Impact factor: 4.673

Review 9.  Epidemiology and treatment of multiple sclerosis in elderly populations.

Authors:  Caila B Vaughn; Dejan Jakimovski; Katelyn S Kavak; Murali Ramanathan; Ralph H B Benedict; Robert Zivadinov; Bianca Weinstock-Guttman
Journal:  Nat Rev Neurol       Date:  2019-06       Impact factor: 42.937

10.  Effect of teriflunomide on cortex-basal ganglia-thalamus (CxBGTh) circuit glutamatergic dysregulation in the Theiler's Murine Encephalomyelitis Virus mouse model of multiple sclerosis.

Authors:  Claire M Modica; Ferdinand Schweser; Michelle L Sudyn; Nicola Bertolino; Marilena Preda; Paul Polak; Danielle M Siebert; Jacqueline C Krawiecki; Michele Sveinsson; Jesper Hagemeier; Michael G Dwyer; Suyog Pol; Robert Zivadinov
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

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