Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/23880
Title: Diffusion-Weighted Imaging, MR Angiography, and Baseline Data in a Systematic Multicenter Analysis of 3,301 MRI Scans of Ischemic Stroke Patients-Neuroradiological Review Within the MRI-GENIE Study.
Austin Authors: Drake, Mattias;Frid, Petrea;Hansen, Björn M;Wu, Ona;Giese, Anne-Katrin;Schirmer, Markus D;Donahue, Kathleen;Cloonan, Lisa;Irie, Robert E;Bouts, Mark J R J;McIntosh, Elissa C;Mocking, Steven J T;Dalca, Adrian V;Sridharan, Ramesh;Xu, Huichun;Giralt-Steinhauer, Eva;Holmegaard, Lukas;Jood, Katarina;Roquer, Jaume;Cole, John W;McArdle, Patrick F;Broderick, Joseph P;Jiménez-Conde, Jordi;Jern, Christina;Kissela, Brett M;Kleindorfer, Dawn O;Lemmens, Robin;Meschia, James F;Rundek, Tatjana;Sacco, Ralph L;Schmidt, Reinhold;Sharma, Pankaj;Slowik, Agnieszka;Thijs, Vincent N ;Woo, Daniel;Worrall, Bradford B;Kittner, Steven J;Mitchell, Braxton D;Rosand, Jonathan;Golland, Polina;Lindgren, Arne;Rost, Natalia S;Wassélius, Johan
Affiliation: Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Sweden
Department of Neurology, VIB, Vesalius Research Center, Laboratory of Neurobiology, University Hospitals Leuven, Leuven, Belgium
Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), Leuven, Belgium
Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Malmö, Sweden
Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, MD, United States
Henry and Allison McCancer Center for Brain Health and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
Department of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden
Department of Radiology, Neuroradiology, Skåne University Hospital, Lund, Sweden
Department of Neurology, Neurovascular Research Group (NEUVAS), IMIM-Hospital del Mar (Institut Hospital del Mar d'Investigacions Mèdiques), University at Autonoma de Barcelona, Barcelona, Spain
Neurology
The Florey Institute of Neuroscience and Mental Health
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States
Department of Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (MGH), Harvard Medical School, Charlestown, MA, United States
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, United States
Institute of Cardiovascular Research, Royal Holloway University of London (ICR2UL), Egham, United Kingdom
Ashford and St Peter's Hospital, Surrey, United Kingdom
Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (MGH), Harvard Medical School, Charlestown, MA, United States
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (MGH), Harvard Medical School, Charlestown, MA, United States
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, United States
Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States
Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
Department of Neurology, Mayo Clinic, Jacksonville, FL, United States
Department of Neurology and the Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria
Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
Departments of Neurology and Public Health Sciences, University of Virginia, Charlottesville, VA, United States
Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, United States
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
Issue Date: 25-Jun-2020
metadata.dc.date: 2020-06-25
Publication information: Frontiers in Neurology 2020; 11: 577
Abstract: Background: Magnetic resonance imaging (MRI) serves as a cornerstone in defining stroke phenotype and etiological subtype through examination of ischemic stroke lesion appearance and is therefore an essential tool in linking genetic traits and stroke. Building on baseline MRI examinations from the centralized and structured radiological assessments of ischemic stroke patients in the Stroke Genetics Network, the results of the MRI-Genetics Interface Exploration (MRI-GENIE) study are described in this work. Methods: The MRI-GENIE study included patients with symptoms caused by ischemic stroke (N = 3,301) from 12 international centers. We established and used a structured reporting protocol for all assessments. Two neuroradiologists, using a blinded evaluation protocol, independently reviewed the baseline diffusion-weighted images (DWIs) and magnetic resonance angiography images to determine acute lesion and vascular occlusion characteristics. Results: In this systematic multicenter radiological analysis of clinical MRI from 3,301 acute ischemic stroke patients according to a structured prespecified protocol, we identified that anterior circulation infarcts were most prevalent (67.4%), that infarcts in the middle cerebral artery (MCA) territory were the most common, and that the majority of large artery occlusions 0 to 48 h from ictus were in the MCA territory. Multiple acute lesions in one or several vascular territories were common (11%). Of 2,238 patients with unilateral DWI lesions, 52.6% had left-sided infarct lateralization (P = 0.013 for χ2 test). Conclusions: This large-scale analysis of a multicenter MRI-based cohort of AIS patients presents a unique imaging framework facilitating the relationship between imaging and genetics for advancing the knowledge of genetic traits linked to ischemic stroke.
URI: http://ahro.austin.org.au/austinjspui/handle/1/23880
DOI: 10.3389/fneur.2020.00577
PubMed URL: 32670186
ISSN: 1664-2295
Type: Journal Article
Subjects: DWI
MRI
imaging
phenotype
Stroke
Appears in Collections:Journal articles

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