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5 p, 792.2 KB |
The role of pontine lesion location in differentiating multiple sclerosis from vascular risk factor-related small vessel disease
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Geraldes, Ruth (Nuffield Department of Clinical Neurosciences) ;
Juryńczyk, Maciej (Nuffield Department of Clinical Neurosciences) ;
dos Passos, Giordani Rodrigues (Nuffield Department of Clinical Neurosciences) ;
Pichler, Alexander (Medical University of Graz. Department of Neurology) ;
Chung, Karen (University College London Institute of Neurology) ;
Hagens, Marloes (Vrije Universiteit Amsterdam. Department of Neurology) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Auger, Cristina (Hospital Universitari Vall d'Hebron) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ;
Enzinger, Christian (Medical University of Graz. Department of Neurology) ;
Chard, Declan (University College London. Institute of Neurology) ;
Barkhof, Frederik (Vrije Universiteit Amsterdam. Department of Radiology and Nuclear Medicine) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron) ;
DeLuca, Gabriele (Nuffield Department of Clinical Neurosciences) ;
Palace, Jacqueline (Nuffield Department of Clinical Neurosciences) ;
Universitat Autònoma de Barcelona
Differentiating multiple sclerosis (MS) from vascular risk factor (VRF)-small vessel disease (SVD) can be challenging. In order to determine whether or not pontine lesion location is a useful discriminator of MS and VRF-SVD, we classified pontine lesions on brain magnetic resonance imaging (MRI) as central or peripheral in 93 MS cases without VRF, 108 MS patients with VRF and 43 non-MS cases with VRF. [...]
2020 -  10.1177/1352458520943777
Multiple sclerosis, Vol. 27 Núm. 6 (2021) , p. 968-972
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2.
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8 p, 2.0 MB |
Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis : Towards accelerated semi-automated references
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de Sitter, Alexandra (MS Center Amsterdam) ;
Burggraaff, Jessica (MS Center Amsterdam) ;
Bartel, Fabian (MS Center Amsterdam) ;
Palotai, Miklos (Harvard Medical School) ;
Liu, Yaou (MS Center Amsterdam) ;
Simoes, Jorge (MS Center Amsterdam) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Schregel, Katharina (University Medical Center Goettingen) ;
Ropele, Stefan (Medical University of Graz) ;
Rocca, Maria A. (San Raffaele Scientific Institute) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Gallo, Antonio (University of Campania "Luigi Vanvitelli", Naples) ;
Schoonheim, Menno M. (Amsterdam UMC) ;
Amann, Michael (University Hospital Basel (Basilea, Suïssa)) ;
Yiannakas, Marios (UCL Institute of Neurology (Regne Unit)) ;
Pareto, Deborah (Hospital Universitari Vall d'Hebron) ;
Wattjes, Mike P. (Hannover Medical School) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ;
Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa)) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
Enzinger, Christian (Medical University of Graz) ;
Frederiksen, Jette (Glostrup University Hospital Copenhagen) ;
Uitdehaag, Bernard (MS Center Amsterdam) ;
Guttmann, Charles R. G. (Harvard Medical School) ;
Barkhof, Frederik (Institutes of Neurology & Healthcare Engineering, London) ;
Vrenken, Hugo (Amsterdam UMC) ;
Universitat Autònoma de Barcelona
Deep grey matter (dGM) structures, particularly the thalamus, are clinically relevant in multiple sclerosis (MS). However, segmentation of dGM in MS is challenging; labeled MS-specific reference sets are needed for objective evaluation and training of new methods. [...]
2021 - 10.1016/j.nicl.2021.102659
NeuroImage, Vol. 30 (april 2021)
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3.
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13 p, 1.2 MB |
Progression of regional grey matter atrophy in multiple sclerosis
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Eshaghi, Arman (University College London. Department of Computer Science) ;
Marinescu, Razvan V (University College London. Department of Computer Science) ;
Young, Alexandra L. (University College London. Department of Computer Science) ;
Firth, Nicholas C. (University College London. Department of Computer Science) ;
Prados Carrasco, Ferran (University College London. Department of Medical Physics and Bioengineering) ;
Jorge Cardoso, M. (University College London. Department of Medical Physics and Bioengineering) ;
Tur, Carmen (University College London. Faculty of Brain Sciences) ;
De Angelis, Floriana (University College London. Faculty of Brain Sciences) ;
Cawley, Niamh (University College London. Faculty of Brain Sciences) ;
Brownlee, Wallace J. (University College London. Faculty of Brain Sciences) ;
De Stefano, Nicola (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ;
Laura Stromillo, M. (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ;
Battaglini, Marco (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ;
Ruggieri, Serena (University of Rome Sapienza. Department of Neurology and Psychiatry) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Filippi, Massimo (Vita-Salute San Raffaele University (Milà, Itàlia)) ;
Rocca, Maria A. (Vita-Salute San Raffaele University (Milà, Itàlia)) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Geurts, Jeroen J. G. (Amsterdam UMC. University Medical Center) ;
Vrenken, Hugo (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ;
Wottschel, Viktor (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ;
Leurs, Cyra E. (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ;
Uitdehaag, Bernard (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ;
Pirpamer, Lukas (Medical University of Graz (Graz, Àustria)) ;
Enzinger, Christian (Medical University of Graz (Graz, Àustria)) ;
Ourselin, Sebastien (University College London Hospitals) ;
Gandini Wheeler-Kingshott, Claudia A. M (IRCCS Mondino Foundation (Pavia, Itàlia)) ;
Chard, Declan (University College London Hospitals) ;
Thompson, Alan J. (University College London. Faculty of Brain Sciences) ;
Barkhof, Frederik (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ;
Alexander, Daniel C.. (University College London. Department of Computer Science) ;
Ciccarelli, Olga (University College London Hospitals) ;
Universitat Autònoma de Barcelona
See Stankoff and Louapre (doi:) for a scientific commentary on this article. Grey matter atrophy in multiple sclerosis affects certain areas preferentially. Eshaghi et al. use a data-driven computational model to predict the order in which regions atrophy, and use this sequence to stage patients. [...]
2018 - 10.1093/brain/awy088
Brain, Vol. 141 (may 2018) , p. 1665-1677
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4.
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12 p, 3.1 MB |
Manual and automated tissue segmentation confirm the impact of thalamus atrophy on cognition in multiple sclerosis : A multicenter study
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Burggraaff, Jessica (Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Liu, Yao (Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Prieto, Juan C. (Harvard Medical School) ;
Simoes, Jorge (Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
de Sitter, Alexandra (Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Brouwer, Iman (Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Lissenberg-Witte, Birgit I. (Department of Epidemiology and Biostatistics, Amsterdam UMC, Location VUmc, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands) ;
Rocca, Mara A. (Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy) ;
Valsasina, Paola (Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy) ;
Ropele, Stefan (Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Gallo, Antonio (Division of Neurology and 3T MRI Research Center, Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Viale Abramo Lincoln, 5, 81100 Caserta, CE, Napoli, Italy) ;
Pareto, Deborah (Hospital Universitari Vall d'Hebron) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ;
Enzinger, Christian (Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria) ;
Filippi, Massimo (Department of Neurological and Behavioural Sciences, University of Siena, 53100 Siena SI, Italy) ;
De Stefano, Nicola (Department of Neurological and Behavioural Sciences, University of Siena, 53100 Siena SI, Italy) ;
Ciccarelli, Olga (UCL Institute of Neurology (Regne Unit)) ;
Hulst, Hanneke E. (Amsterdam UMC. University Medical Center) ;
Wattjes, Mike P. (Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Carl-Neuberg-Straße, 30625 Hannover, Germany) ;
Barkhof, Frederik (Institutes of Neurology & Healthcare Engineering, UCL, 235 Euston Rd, Bloomsbury, London NW1 2BU, United Kingdom) ;
Uitdehaag, Bernard M. J. (Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Vrenken, Hugo (Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands) ;
Guttmann, Charles R. G. (Harvard Medical School) ;
Universitat Autònoma de Barcelona
Thalamus atrophy has been linked to cognitive decline in multiple sclerosis (MS) using various segmentation methods. We investigated the consistency of the association between thalamus volume and cognition in MS for two common automated segmentation approaches, as well as fully manual outlining. [...]
2020 - 10.1016/j.nicl.2020.102549
NeuroImage, Vol. 29 (december 2020)
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5.
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14 p, 1.7 MB |
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis : an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
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de Sitter, Alexandra (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Verhoeven, Tom (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Burggraaff, Jessica (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ;
Liu, Yaou (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Simoes, Jorge (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Palotai, Miklos (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ;
Brouwer, Iman (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Versteeg, Adriaan (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Wottschel, Viktor (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Ropele, Stefan (Medical University of Graz. Department of Neurology) ;
Rocca, Mara A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Neurology Unit) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Gallo, Antonio (University of Campania "Luigi Vanvitelli". Division of Neurology and MRI Research Center, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences) ;
Yiannakas, Marios C. (University College London. Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Enzinger, Christian (University of Graz. Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology Medical) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
De Stefano, Nicola (University of Siena. Department of Neurological and Behavioural Sciences) ;
Kappos, Ludwig (University Hospital, Kantonsspital. Department of Neurology) ;
Frederiksen, Jette L. (Glostrup University Hospital Copenhagen) ;
Uitdehaag, Bernard M. J. (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ;
Barkhof, Frederik (University College London. Institutes of Neurology & Healthcare Engineering) ;
Guttmann, Charles R. G. (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ;
Vrenken, Hugo (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Universitat Autònoma de Barcelona
Deep grey matter (DGM) atrophy in multiple sclerosis (MS) and its relation to cognitive and clinical decline requires accurate measurements. MS pathology may deteriorate the performance of automated segmentation methods. [...]
2020 - 10.1007/s00415-020-10023-1
Journal of Neurology, Vol. 267 (july 2020) , p. 3541-3554
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12 p, 1.5 MB |
MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice
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Sastre-Garriga, Jaume (Centre d'Esclerosi Mútiple de Catalunya (Cemcat)) ;
Pareto, Deborah (Hospital Universitari Vall d'Hebron) ;
Battaglini, Marco (University of Siena. Department of Medicine, Surgery and Neuroscience) ;
Rocca, Maria A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Institute of Experimental Neurology) ;
Ciccarelli, Olga (University College London Hospitals. National Institute for Health Research Biomedical Research Centre) ;
Enzinger, Christian (Medical University of Graz. Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology) ;
Wuerfel, Jens (University of Basel. Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering) ;
Sormani, Maria P. (IRCCS, Ospedale Policlinico San Martino, Genoa) ;
Barkhof, Frederik (University College London. Institutes of Neurology and Healthcare Engineering) ;
Yousry, Tarek A. (University College London Hospitals National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology. Lysholm Department of Neuroradiology) ;
De Stefano, Nicola (University of Siena. Department of Medicine, Surgery and Neuroscience) ;
Tintoré, Mar (Centre d'Esclerosi Mútiple de Catalunya (Cemcat)) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa)) ;
Río, Jordi (Universitat Autònoma de Barcelona) ;
Frederiksen, Jette (University of Copenhagen) ;
Palace, Jackie (University of Oxford. Nuffield Department of Clinical Neurosciences) ;
Vrenken, Hugo (Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC) ;
Montalban, Xavier (University of Toronto. Division of Neurology, St Michael's Hospital) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron) ;
Universitat Autònoma de Barcelona ;
Hospital Universitari Vall d'Hebron ;
Centre d'Esclerosi Mútiple de Catalunya (Cemcat)
Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. [...]
2020 - 10.1038/s41582-020-0314-x
Nature Reviews. Neurology, Vol. 16 (february 2020) , p. 171-182
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13 p, 862.2 KB |
Deep gray matter volume loss drives disability worsening in multiple sclerosis
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Eshaghi, Arman (University College London) ;
Prados Carrasco, Ferran (University College London Hospitals) ;
Brownlee, Wallace J. (University College London) ;
Altmann, Daniel R. (London School of Hygiene & Tropical Medicine) ;
Tur, Carmen (University College London) ;
Cardoso, M. Jorge (University College London) ;
De Angelis, Floriana (University College London) ;
van de Pavert, Steven H. (University College London) ;
Cawley, Niamh (University College London) ;
De Stefano, Nicola (University of Siena) ;
Stromillo, M. Laura (University of Siena) ;
Battaglini, Marco (University of Siena) ;
Ruggieri, Serena (University of Rome Sapienza) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
Rocca, Maria A. (Vita-Salute San Raffaele University) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ;
Vrenken, Hugo (VU University Medical Centre) ;
Leurs, Cyra E. (Amsterdam UMC. University Medical Center) ;
Killestein, Joep (Amsterdam UMC. University Medical Center) ;
Pirpamer, Lukas (Medical University of Graz) ;
Enzinger, Christian (Medical University of Graz) ;
Ourselin, Sebastien (University College London Hospitals) ;
Wheeler-Kingshott, Claudia A. M. Gandini (C. Mondino National Neurological Institute) ;
Chard, Declan (University College London Hospitals) ;
Thompson, Alan J. (University College London) ;
Alexander, Daniel C.. (University College London) ;
Barkhof, Frederik (VU University Medical Centre) ;
Ciccarelli, Olga (University College London Hospitals) ;
Universitat Autònoma de Barcelona
Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS. [...]
2018 - 10.1002/ana.25145
Annals of neurology, Vol. 83, Issue 2 (February 2018) , p. 210-222
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