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dc.contributor.authorDrake, Mattias
dc.contributor.authorFrid, Petrea
dc.contributor.authorHansen, Björn M.
dc.contributor.authorWu, Ona
dc.contributor.authorGiese, Anne-Katrin
dc.contributor.authorSchirmer, Markus D.
dc.contributor.authorDonahue, Kathleen
dc.contributor.authorCloonan, Lisa
dc.contributor.authorIrie, Robert E.
dc.contributor.authorBouts, Mark J. R. J.
dc.contributor.authorMcIntosh, Elissa C.
dc.contributor.authorMocking, Steven J. T.
dc.contributor.authorDalca, Adrian Vasile
dc.contributor.authorSridharan, Ramesh
dc.contributor.authorXu, Huichun
dc.contributor.authorGiralt-Steinhauer, Eva
dc.contributor.authorHolmegaard, Lukas
dc.contributor.authorJood, Katarina
dc.contributor.authorRoquer, Jaume
dc.contributor.authorCole, John W.
dc.contributor.authorMcArdle, Patrick F.
dc.contributor.authorBroderick, Joseph P.
dc.contributor.authorJiménez-Conde, Jordi
dc.contributor.authorJern, Christina
dc.contributor.authorKissela, Brett M.
dc.contributor.authorKleindorfer, Dawn O.
dc.contributor.authorLemmens, Robin
dc.contributor.authorMeschia, James F.
dc.contributor.authorRundek, Tatjana
dc.contributor.authorSacco, Ralph L.
dc.contributor.authorSchmidt, Reinhold
dc.contributor.authorSharma, Pankaj
dc.contributor.authorSlowik, Agnieszka
dc.contributor.authorThijs, Vincent
dc.contributor.authorWoo, Daniel
dc.contributor.authorWorrall, Bradford B.
dc.contributor.authorKittner, Steven J.
dc.contributor.authorMitchell, Braxton D.
dc.contributor.authorRosand, Jonathan
dc.contributor.authorGolland, Polina
dc.contributor.authorLindgren, Arne
dc.contributor.authorRost, Natalia S.
dc.contributor.authorWassélius, Johan
dc.date.accessioned2021-01-05T20:58:05Z
dc.date.available2021-01-05T20:58:05Z
dc.date.issued2020-06
dc.identifier.issn1664-2295
dc.identifier.urihttps://hdl.handle.net/1721.1/128960
dc.description.abstractBackground: 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.en_US
dc.language.isoen
dc.publisherFrontiers Media SAen_US
dc.relation.isversionofhttp://dx.doi.org/10.3389/fneur.2020.00577en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceFrontiersen_US
dc.titleDiffusion-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 Studyen_US
dc.typeArticleen_US
dc.identifier.citationDrake, Mattias et al. "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." Frontiers in Neurology 11 (June 2020): 577 © 2020 Drake et al.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalFrontiers in Neurologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-12-16T17:18:50Z
dspace.orderedauthorsDrake, M; Frid, P; Hansen, BM; Wu, O; Giese, A-K; Schirmer, MD; Donahue, K; Cloonan, L; Irie, RE; Bouts, MJRJ; McIntosh, EC; Mocking, SJT; Dalca, AV; Sridharan, R; Xu, H; Giralt-Steinhauer, E; Holmegaard, L; Jood, K; Roquer, J; Cole, JW; McArdle, PF; Broderick, JP; Jiménez-Conde, J; Jern, C; Kissela, BM; Kleindorfer, DO; Lemmens, R; Meschia, JF; Rundek, T; Sacco, RL; Schmidt, R; Sharma, P; Slowik, A; Thijs, V; Woo, D; Worrall, BB; Kittner, SJ; Mitchell, BD; Rosand, J; Golland, P; Lindgren, A; Rost, NS; Wassélius, Jen_US
dspace.date.submission2020-12-16T17:18:51Z
mit.journal.volume11en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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