Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI
Amiri, Houshang (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands)
de Sitter, Alexandra (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands)
Bendfeldt, Kerstin (Medical Image Analysis Center (MIAC AG) Basel, Switzerland)
Battaglini, Marco (Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy)
Gandini Wheeler-Kingshott, Claudia A. M. (NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, UK)
Calabrese, Massimiliano (Multiple Sclerosis Centre, Neurology Section, Department of Neurosciences, Biomedicine and Movements, University of Verona, Italy)
Geurts, Jeroen J. G. (Amsterdam UMC. University Medical Center)
Rocca, Maria A. (Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy)
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron)
Enzinger, Christian (Department of Neurology & Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria)
De Stefano, Nicola (Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy)
Filippi, Massimo (Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy)
Rovira, Álex (Hospital Universitari Vall d'Hebron)
Barkhof, Frederik (University College London. Institutes of Neurology & Healthcare Engineering)
Vrenken, Hugo (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands)
Universitat Autònoma de Barcelona

Date:	2018
Abstract:	Atrophy of the brain grey matter (GM) is an accepted and important feature of multiple sclerosis (MS). However, its accurate measurement is hampered by various technical, pathological and physiological factors. As a consequence, it is challenging to investigate the role of GM atrophy in the disease process as well as the effect of treatments that aim to reduce neurodegeneration. In this paper we discuss the most important challenges currently hampering the measurement and interpretation of GM atrophy in MS. The focus is on measurements that are obtained in individual patients rather than on group analysis methods, because of their importance in clinical trials and ultimately in clinical care. We discuss the sources and possible solutions of the current challenges, and provide recommendations to achieve reliable measurement and interpretation of brain GM atrophy in MS.
Note:	Altres ajuts: This paper is the outcome of the MAGNIMS workshop "Measuring cortical and deep gray matter atrophy in MS", which was kindly supported by the Multiple Sclerosis International Federation (www.msif.org), the Dutch MS Research Foundation (www.msresearch.nl), the journal "Nederlands Tijdschrift voor Geneeskunde" (www.ntvg.nl), the Neuroscience Campus Amsterdam (www.neurosciencecampus-amsterdam.nl), and the VU University medical center. Frederik Barkhof is supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	BET, brain extraction tool ; CNS, central nervous system ; CTh, cortical thickness ; DGM, deep grey matter ; DTI, diffusion tensor imaging ; FA, fractional anisotropy ; GM, grey matter ; MRI, magnetic resonance imaging ; MS, multiple sclerosis ; TE, echo time ; TI, inversion time ; TR, repetition time ; VBM, voxel-based morphometry ; WM, white matter ; Multiple sclerosis ; Brain atrophy ; Grey matter ; Magnetic resonance imaging
Published in:	NeuroImage, Vol. 19 (april 2018) , p. 466-475, ISSN 2213-1582

DOI: 10.1016/j.nicl.2018.04.023
PMID: 29984155

10 p, 1.4 MB

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