Dipòsit Digital de Documents de la UAB 10 registres trobats  La cerca s'ha fet en 0.01 segons. 
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9 p, 1.1 MB Paramagnetic rims are a promising diagnostic imaging biomarker in multiple sclerosis / Meaton, Isobel (University of Nottingham) ; Altokhis, Amjad (University of Nottingham) ; Allen, Christopher Martin (University of Nottingham) ; Clarke, Margareta A. (Vanderbilt University) ; Sinnecker, Timm (University Basel) ; Meier, Dominik (University Basel) ; Enzinger, Christian (Medical University of Graz) ; Calabrese, Massimiliano (University of Verona) ; De Stefano, Nicola (University of Siena) ; Pitiot, Alain (Laboratory of Image and Data Analysis (Regne Unit)) ; Giorgio, Antonio (University of Siena) ; Schoonheim, Menno M. (Universiteit Amsterdam) ; Paul, Friedemann (Charité - Universitätsmedizin Berlin) ; Pawlak, Mikolaj A. (Poznan University of Medical Sciences) ; Schmidt, Reinhold (Medical University of Graz) ; Granziera, Cristina (University of Basel) ; Kappos, Ludwig (University of Basel) ; Montalban, Xavier (Hospital Universitari Vall d'Hebron) ; Rovira, Alex (Hospital Universitari Vall d'Hebron) ; Wuerfel, Jens (Charité - Universitätsmedizin Berlin) ; Evangelou, Nikos (University of Nottingham) ; Universitat Autònoma de Barcelona
White matter lesions (WMLs) on brain magnetic resonance imaging (MRI) in multiple sclerosis (MS) may contribute to misdiagnosis. In chronic active lesions, peripheral iron-laden macrophages appear as paramagnetic rim lesions (PRLs). [...]
2022 - 10.1177/13524585221118677
Multiple sclerosis, Vol. 28 (august 2022) , p. 2212-2220  
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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 / 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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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 / 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)  
4.
13 p, 1.2 MB Progression of regional grey matter atrophy in multiple sclerosis / 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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12 p, 3.1 MB Manual and automated tissue segmentation confirm the impact of thalamus atrophy on cognition in multiple sclerosis : A multicenter study / 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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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 / 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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10 p, 1.4 MB 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
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. [...]
2018 - 10.1016/j.nicl.2018.04.023
NeuroImage, Vol. 19 (april 2018) , p. 466-475  
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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 / 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 / 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  
10.
11 p, 168.8 KB Genetic variants in CETP increase risk of intracerebral hemorrhage / Anderson, Christopher D. (Broad Institute of MIT and Harvard) ; Falcone, Guido J. (Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health) ; Phuah, Chia-Ling (Broad Institute of MIT and Harvard) ; Radmanesh, Farid (Broad Institute of MIT and Harvard) ; Brouwers, H. Bart (Broad Institute of MIT and Harvard) ; Battey, Thomas W. K. (Broad Institute of MIT and Harvard) ; Biffi, Alessandro (Division of Psychiatry, Department of Psychiatry, MGH) ; Peloso, Gina M. (Broad Institute of MIT and Harvard) ; Liu, Dajiang J. (Institute of Personalized Medicine, Penn State College of Medicine) ; Ayres, Alison M. (J. Philip Kistler Stroke Research Center, Department of Neurology, MGH) ; Goldstein, Joshua N. (Department of Emergency Medicine, MGH) ; Viswanathan, Anand (J. Philip Kistler Stroke Research Center, Department of Neurology, MGH) ; Greenberg, Steven M. (J. Philip Kistler Stroke Research Center, Department of Neurology, MGH) ; Selim, Magdy (Beth Israel Deaconess Medical Center) ; Meschia, James F. (Mayo Clinic (Jacksonville, Estats Units d'Amèrica)) ; Brown, Devin L. (University of Michigan Health System) ; Worrall, Bradford B. (University of Virginia Health System) ; Silliman, Scott L. (University of Florida College of Medicine) ; Tirschwell, David L. (University of Washington) ; Flaherty, Matthew L. (University of Cincinnati College of Medicine) ; Kraft, Peter (Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health) ; Jagiella, Jeremiasz M. (Jagiellonian University Medical College) ; Schmidt, Helena (Medical University Graz) ; Hansen, Björn M. (Skåne University Hospital (Suècia)) ; Jimenez-Conde, Jordi (Institut Hospital del Mar d'Investigacions Mèdiques) ; Giralt Steinhauer, Eva (Institut Hospital del Mar d'Investigacions Mèdiques) ; Elosua, Roberto (Institut Hospital del Mar d'Investigacions Mèdiques) ; Cuadrado-Godia, Elisa (Institut Hospital del Mar d'Investigacions Mèdiques) ; Soriano Tàrraga, Carolina (Institut Hospital del Mar d'Investigacions Mèdiques) ; van Nieuwenhuizen, Koen M. (University Medical Center Utrecht) ; Klijn, Catharina J. M. (Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center) ; Rannikmae, Kristiina (University of Edinburgh) ; Samarasekera, Neshika (University of Edinburgh) ; Salman, Rustam Al-Shahi (University of Edinburgh) ; Sudlow, Catherine L. (University of Edinburgh) ; Deary, Ian J. (University of Edinburgh) ; Morotti, Andrea (Neurology Clinic, University of Brescia) ; Pezzini, Alessandro (Neurology Clinic, University of Brescia) ; Pera, Joanna (Jagiellonian University Medical College) ; Urbanik, Andrzej (Jagiellonian University Medical College) ; Pichler, Alexander (Medical University of Graz) ; Enzinger, Christian (Medical University of Graz) ; Norrving, Bo (Skåne University Hospital (Suècia)) ; Montaner, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Fernandez-Cadenas, Israel (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Delgado Martínez, María Pilar (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Roquer González, Jaume (Institut Hospital del Mar d'Investigacions Mèdiques) ; Lindgren, Arne (Skåne University Hospital (Suècia)) ; Slowik, Agnieszka (Jagiellonian University Medical College) ; Schmidt, Reinhold (Medical University of Graz) ; Kidwell, Chelsea S. (University of Arizona) ; Kittner, Steven J. (Baltimore Veterans Administration Medical Center and University of Maryland School of Medicine) ; Waddy, Salina P. (National Institutes of Health (Bethesda, Estats Units d'Amèrica)) ; Langefeld, Carl D. (Wake Forest University) ; Abecasis, Goncalo (University of Michigan School of Public Health) ; Willer, Cristen J. (University of Michigan Medical School) ; Kathiresan, Sekar (Cardiovascular Disease Prevention Center, MGH) ; Woo, Daniel (University of Cincinnati College of Medicine) ; Rosand, Jonathan (Broad Institute of MIT and Harvard) ; Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya)
In observational epidemiologic studies, higher plasma high-density lipoprotein cholesterol (HDL-C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL-C; as such, medicines that inhibit CETP and raise HDL-C are in clinical development. [...]
2016 - 10.1002/ana.24780
Annals of neurology, Vol. 80 (october 2016) , p. 730-740  

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