Literature DB >> 28391787

Brain Atrophy in Multiple Sclerosis: Clinical Relevance and Technical Aspects.

Jaume Sastre-Garriga1, Deborah Pareto2, Àlex Rovira2.   

Abstract

There is evidence of a neurodegenerative process running in parallel with or as a consequence of the inflammatory phenomenon in multiple sclerosis (MS). MR imaging has been central in the generation of such knowledge and has played a pivotal role in investigating the neurodegenerative process. However, there is insufficient evidence supporting MR imaging-measured brain atrophy as a biomarker of the neurodegenerative component of MS in the daily care of patients with MS. This article discusses the prognostic value of brain volume measurements and their potential role in monitoring treatment response in patients with MS.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biological confounding factors; Brain atrophy; Disability; Gray matter; MR imaging; Multiple sclerosis

Mesh：

Year:  2017        PMID： 28391787     DOI： 10.1016/j.nic.2017.01.002

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN： 1052-5149            Impact factor:   2.264


  22 in total

1.  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

2.  Association of Brain Atrophy With Disease Progression Independent of Relapse Activity in Patients With Relapsing Multiple Sclerosis.

Authors:  Alessandro Cagol; Sabine Schaedelin; Muhamed Barakovic; Pascal Benkert; Ramona-Alexandra Todea; Reza Rahmanzadeh; Riccardo Galbusera; Po-Jui Lu; Matthias Weigel; Lester Melie-Garcia; Esther Ruberte; Nina Siebenborn; Marco Battaglini; Ernst-Wilhelm Radue; Özgür Yaldizli; Johanna Oechtering; Tim Sinnecker; Johannes Lorscheider; Bettina Fischer-Barnicol; Stefanie Müller; Lutz Achtnichts; Jochen Vehoff; Giulio Disanto; Oliver Findling; Andrew Chan; Anke Salmen; Caroline Pot; Claire Bridel; Chiara Zecca; Tobias Derfuss; Johanna M Lieb; Luca Remonda; Franca Wagner; Maria I Vargas; Renaud Du Pasquier; Patrice H Lalive; Emanuele Pravatà; Johannes Weber; Philippe C Cattin; Claudio Gobbi; David Leppert; Ludwig Kappos; Jens Kuhle; Cristina Granziera
Journal:  JAMA Neurol       Date:  2022-07-01       Impact factor: 29.907

3.  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

4.  Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning.

Authors:  Ponnada A Narayana; Ivan Coronado; Sheeba J Sujit; Xiaojun Sun; Jerry S Wolinsky; Refaat E Gabr
Journal:  Magn Reson Imaging       Date:  2019-10-25       Impact factor: 2.546

Review 5.  Pediatric Multiple Sclerosis: an Update.

Authors:  Scott Otallah; Brenda Banwell
Journal:  Curr Neurol Neurosci Rep       Date:  2018-09-18       Impact factor: 5.081

6.  Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.

Authors:  Ponnada A Narayana; Ivan Coronado; Sheeba J Sujit; Jerry S Wolinsky; Fred D Lublin; Refaat E Gabr
Journal:  J Magn Reson Imaging       Date:  2019-10-18       Impact factor: 4.813

Review 7.  Resolving the clinico-radiological paradox in multiple sclerosis.

Authors:  Declan Chard; S Anand Trip
Journal:  F1000Res       Date:  2017-10-12

8.  Neurofilament levels, disease activity and brain volume during follow-up in multiple sclerosis.

Authors:  Irene Håkansson; Anders Tisell; Petra Cassel; Kaj Blennow; Henrik Zetterberg; Peter Lundberg; Charlotte Dahle; Magnus Vrethem; Jan Ernerudh
Journal:  J Neuroinflammation       Date:  2018-07-18       Impact factor: 8.322

9.  Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelines.

Authors:  Renxin Chu; Gloria Kim; Shahamat Tauhid; Fariha Khalid; Brian C Healy; Rohit Bakshi
Journal:  PLoS One       Date:  2018-11-08       Impact factor: 3.240

10.  A cross-sectional and longitudinal study evaluating brain volumes, RNFL, and cognitive functions in MS patients and healthy controls.

Authors:  Jessica Frau; Giuseppe Fenu; Alessio Signori; Giancarlo Coghe; Lorena Lorefice; Maria Antonietta Barracciu; Vincenzo Sechi; Federico Cabras; Mauro Badas; Maria Giovanna Marrosu; Eleonora Cocco
Journal:  BMC Neurol       Date:  2018-05-11       Impact factor: 2.474
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