Literature DB >> 24446248

Clinical relevance of brain volume measures in multiple sclerosis.

Nicola De Stefano1, Laura Airas, Nikolaos Grigoriadis, Heinrich P Mattle, Jonathan O'Riordan, Celia Oreja-Guevara, Finn Sellebjerg, Bruno Stankoff, Agata Walczak, Heinz Wiendl, Bernd C Kieseier.   

Abstract

Multiple sclerosis (MS) is a chronic disease with an inflammatory and neurodegenerative pathology. Axonal loss and neurodegeneration occurs early in the disease course and may lead to irreversible neurological impairment. Changes in brain volume, observed from the earliest stage of MS and proceeding throughout the disease course, may be an accurate measure of neurodegeneration and tissue damage. There are a number of magnetic resonance imaging-based methods for determining global or regional brain volume, including cross-sectional (e.g. brain parenchymal fraction) and longitudinal techniques (e.g. SIENA [Structural Image Evaluation using Normalization of Atrophy]). Although these methods are sensitive and reproducible, caution must be exercised when interpreting brain volume data, as numerous factors (e.g. pseudoatrophy) may have a confounding effect on measurements, especially in a disease with complex pathological substrates such as MS. Brain volume loss has been correlated with disability progression and cognitive impairment in MS, with the loss of grey matter volume more closely correlated with clinical measures than loss of white matter volume. Preventing brain volume loss may therefore have important clinical implications affecting treatment decisions, with several clinical trials now demonstrating an effect of disease-modifying treatments (DMTs) on reducing brain volume loss. In clinical practice, it may therefore be important to consider the potential impact of a therapy on reducing the rate of brain volume loss. This article reviews the measurement of brain volume in clinical trials and practice, the effect of DMTs on brain volume change across trials and the clinical relevance of brain volume loss in MS.

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Year:  2014        PMID: 24446248     DOI: 10.1007/s40263-014-0140-z

Source DB:  PubMed          Journal:  CNS Drugs        ISSN: 1172-7047            Impact factor:   5.749


  97 in total

1.  Preventing brain atrophy should be the gold standard of effective therapy in multiple sclerosis (after the first year of treatment): Commentary.

Authors:  D L Arnold; N De Stefano
Journal:  Mult Scler       Date:  2013-07       Impact factor: 6.312

2.  Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques.

Authors:  F Durand-Dubief; B Belaroussi; J P Armspach; M Dufour; S Roggerone; S Vukusic; S Hannoun; D Sappey-Marinier; C Confavreux; F Cotton
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-12       Impact factor: 3.825

Review 3.  Multiple sclerosis - candidate mechanisms underlying CNS atrophy.

Authors:  Volker Siffrin; Johannes Vogt; Helena Radbruch; Robert Nitsch; Frauke Zipp
Journal:  Trends Neurosci       Date:  2010-02-12       Impact factor: 13.837

4.  Gray matter atrophy in multiple sclerosis: a longitudinal study.

Authors:  Elizabeth Fisher; Jar-Chi Lee; Kunio Nakamura; Richard A Rudick
Journal:  Ann Neurol       Date:  2008-09       Impact factor: 10.422

Review 5.  New approaches in the management of multiple sclerosis.

Authors:  Laurie J Barten; Douglas R Allington; Kendra A Procacci; Michael P Rivey
Journal:  Drug Des Devel Ther       Date:  2010-11-24       Impact factor: 4.162

6.  Rate of brain atrophy in benign vs early multiple sclerosis.

Authors:  Susan A Gauthier; Annika M Berger; Zsuzsanna Liptak; Yang Duan; Svetlana Egorova; Guy J Buckle; Bonnie I Glanz; Samia J Khoury; Rohit Bakshi; Howard L Weiner; Charles R G Guttmann
Journal:  Arch Neurol       Date:  2009-02

Review 7.  The immunology of multiple sclerosis.

Authors:  Amit Bar-Or
Journal:  Semin Neurol       Date:  2008-02       Impact factor: 3.420

8.  A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging.

Authors:  Rachael I Scahill; Chris Frost; Rhian Jenkins; Jennifer L Whitwell; Martin N Rossor; Nick C Fox
Journal:  Arch Neurol       Date:  2003-07

9.  Relevance of brain lesion location to cognition in relapsing multiple sclerosis.

Authors:  Francesca Rossi; Antonio Giorgio; Marco Battaglini; Maria Laura Stromillo; Emilio Portaccio; Benedetta Goretti; Antonio Federico; Bahia Hakiki; Maria Pia Amato; Nicola De Stefano
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

10.  Alemtuzumab vs. interferon beta-1a in early multiple sclerosis.

Authors:  Alasdair J Coles; D Alastair S Compston; Krzysztof W Selmaj; Stephen L Lake; Susan Moran; David H Margolin; Kim Norris; P K Tandon
Journal:  N Engl J Med       Date:  2008-10-23       Impact factor: 91.245

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  104 in total

Review 1.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

Review 2.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

Review 3.  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

4.  Delayed treatment of MS is associated with high CSF levels of IL-6 and IL-8 and worse future disease course.

Authors:  Mario Stampanoni Bassi; Ennio Iezzi; Doriana Landi; Fabrizia Monteleone; Luana Gilio; Ilaria Simonelli; Alessandra Musella; Georgia Mandolesi; Francesca De Vito; Roberto Furlan; Annamaria Finardi; Girolama A Marfia; Diego Centonze; Fabio Buttari
Journal:  J Neurol       Date:  2018-08-28       Impact factor: 4.849

Review 5.  Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 2-Surveillance for Treatment Complications and Disease Progression.

Authors:  C McNamara; G Sugrue; B Murray; P J MacMahon
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

6.  Know your tools--concordance of different methods for measuring brain volume change after ischemic stroke.

Authors:  Nawaf Yassi; Bruce C V Campbell; Bradford A Moffat; Christopher Steward; Leonid Churilov; Mark W Parsons; Patricia M Desmond; Stephen M Davis; Andrew Bivard
Journal:  Neuroradiology       Date:  2015-04-08       Impact factor: 2.804

Review 7.  Brain MRI atrophy quantification in MS: From methods to clinical application.

Authors:  Maria A Rocca; Marco Battaglini; Ralph H B Benedict; Nicola De Stefano; Jeroen J G Geurts; Roland G Henry; Mark A Horsfield; Mark Jenkinson; Elisabetta Pagani; Massimo Filippi
Journal:  Neurology       Date:  2016-12-16       Impact factor: 9.910

Review 8.  Resveratrol for Alzheimer's disease.

Authors:  Christine Sawda; Charbel Moussa; R Scott Turner
Journal:  Ann N Y Acad Sci       Date:  2017-08-16       Impact factor: 5.691

9.  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

10.  Motor network efficiency and disability in multiple sclerosis.

Authors:  Matteo Pardini; Özgür Yaldizli; Varun Sethi; Nils Muhlert; Zheng Liu; Rebecca S Samson; Daniel R Altmann; Maria A Ron; Claudia A M Wheeler-Kingshott; David H Miller; Declan T Chard
Journal:  Neurology       Date:  2015-08-28       Impact factor: 9.910

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