Diffusion-Weighted Imaging and Fluid-Attenuated Inversion Recovery Quantification to Predict Diffusion-Weighted Imaging-Fluid-Attenuated Inversion Recovery Mismatch Status in Ischemic Stroke With Unknown Onset

Autor: Lauranne Scheldeman, Anke Wouters, Patrick Dupont, Søren Christensen, Florent Boutitie, Bastian Cheng, Martin Ebinger, Matthias Endres, Jochen B. Fiebach, Christian Gerloff, Keith W. Muir, Norbert Nighoghossian, Salvador Pedraza, Claus Z. Simonsen, Vincent Thijs, Götz Thomalla, Robin Lemmens
Přispěvatelé: University Hospitals Leuven [Leuven], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Leuven Center for Cancer Biology (VIB-KU-CCB), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-Vlaams Instituut voor Biotechnologie [Ghent, Belgique] (VIB), Amsterdam UMC - Amsterdam University Medical Center, Leuven Brain Institute [Leuven, Belgium] (LBI), GrayNumber Analytics [Lomma, Sweden] (GNA), Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Medical Park Berlin Humboldtmühle [Berlin, Germany] (MPBH), German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Glasgow, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta - Girona Biomedical Research Institute (IDIBGI), Aarhus University Hospital, University of Melbourne, Austin Hospital [Melbourne], Austin Health, CarMeN, laboratoire, Neurology
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Stroke 53(5), 1665-1673 (2022). doi:10.1161/STROKEAHA.121.036871
Stroke
Stroke, 2022, 53 (5), pp.1665-1673. ⟨10.1161/strokeaha.121.036871⟩
Scheldeman, L, Wouters, A, Dupont, P, Christensen, S, Boutitie, F, Cheng, B, Ebinger, M, Endres, M, Fiebach, J B, Gerloff, C, Muir, K W, Nighoghossian, N, Pedraza, S, Simonsen, C Z, Thijs, V, Thomalla, G & Lemmens, R 2022, ' Diffusion-Weighted Imaging and Fluid-Attenuated Inversion Recovery Quantification to Predict Diffusion-Weighted Imaging-Fluid-Attenuated Inversion Recovery Mismatch Status in Ischemic Stroke with Unknown Onset ', Stroke, vol. 53, no. 5, pp. 1665-1673 . https://doi.org/10.1161/STROKEAHA.121.036871
Stroke, 53(5), 1665-1673. Lippincott Williams and Wilkins
ISSN: 0039-2499
1524-4628
DOI: 10.1161/STROKEAHA.121.036871
Popis: Background: Visual rating of diffusion-weighted imaging (DWI)–fluid-attenuated inversion recovery (FLAIR) mismatch can be challenging. We evaluated quantification of DWI and FLAIR to predict DWI-FLAIR mismatch status in ischemic stroke. Methods: In screened patients from the WAKE-UP trial (Efficacy and Safety of Magnetic Resonance Imaging-Based Thrombolysis in Wake-Up Stroke), we retrospectively studied relative DWI (rDWI SI) and FLAIR signal intensity (rFLAIR SI). We defined the optimal mean rFLAIR SI and interquartile range of the rDWI SI in the DWI lesion to predict DWI-FLAIR mismatch status. We investigated agreement between each quantitative parameter and the DWI-FLAIR mismatch and the association between both quantitative parameters. We evaluated the predictive value of the quantitative parameters for excellent functional outcome by logistic regression, adjusted for DWI lesion volume, treatment, age, and National Institutes of Health Stroke Scale score. Results: In the rFLAIR and rDWI SI analysis, 213/369 and 241/421 subjects respectively had a DWI-FLAIR mismatch. A mean rFLAIR SI cutoff of 1.09 and interquartile range rDWI SI cutoff of 0.47 were optimal to predict the DWI-FLAIR mismatch with a sensitivity and specificity of 77% (95% CI, 71%–83%) and 67% (95% CI, 59%–74%), and 76% (95% CI, 70%–81%) and 72% (95% CI, 65%–79%), respectively. For both quantitative parameters, agreement with the DWI-FLAIR mismatch was fair (73%, κ=0.44 [95% CI, 0.35–0.54] for rFLAIR and 74%, κ=0.48 [95% CI, 0.39–0.56] for rDWI). Both quantitative parameters correlated moderately (Pearson R=0.54 [95% CI, 0.46–0.61]; P P =0.01). Conclusions: Agreement between the quantitative and qualitative approach may be insufficient to advocate DWI or FLAIR quantification as alternative for visual rating.
Databáze: OpenAIRE
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