Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30071
Title: 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.
Austin Authors: Scheldeman, Lauranne;Wouters, Anke;Dupont, Patrick;Christensen, Søren;Boutitie, Florent;Cheng, Bastian;Ebinger, Martin;Endres, Matthias;Fiebach, Jochen B;Gerloff, Christian;Muir, Keith W;Nighoghossian, Norbert;Pedraza, Salvador;Simonsen, Claus Z;Thijs, Vincent N ;Thomalla, Götz;Lemmens, Robin
Affiliation: Department of Neurology, University Hospitals Leuven, Belgium (L.S., A.W., R.L.)..
Department of Neurosciences, Experimental Neurology (L.S., A.W., R.L.), KU Leuven - University of Leuven, Belgium..
Center for Brain and Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium (L.S., A.W., R.L.)..
Neurology, Amsterdam University Medical Centers, the Netherlands (A.W.)..
Department of Neurosciences, Laboratory for Cognitive Neurology (P.D.), KU Leuven - University of Leuven, Belgium..
Leuven Brain Institute, Belgium (P.D.)..
GrayNumber Analytics, Lomma, Sweden (S.C.)..
Hospices Civils de Lyon, Service de Biostatistique, France (F.B.)..
Université Lyon 1, Villeurbanne, France (F.B.)..
Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Germany (B.C., C.G., G.T.)..
Center for Stroke Research Berlin (CSB) (M. Ebinger, M. Endres, J.B.F.), Charité - Universitätsmedizin Berlin, Germany..
Klinik für Neurologie, Medical Park Berlin Humboldtmühle, Germany (M. Ebinger)..
Klinik und Hochschulambulanz für Neurologie (M. Endres), Charité - Universitätsmedizin Berlin, Germany..
German Center for Cardiovascular Research (DZHK), partner site Berlin (M. Endres)..
German Center for Neurodegenerative Diseases (DZNE), partner site Berlin (M. Endres)..
ExcellenceCluster NeuroCure (M. Endres)..
Institute of Neuroscience and Psychology, University of Glasgow, United Kingdom (K.W.M.)..
Department of Stroke Medicine, Université Claude Bernard Lyon 1, CREATIS CNRS UMR 5220-INSERM U1206, INSA- Lyon (N.N.)..
Hospices Civils de Lyon, France (N.N.)..
Department of Radiology, Institut de Diagnostic per la Image (IDI), Hospital Dr Josep Trueta, Institut d'Investigació Biomedica de Girona (IDIBGI), Parc Hospitalari Marti i Julia de Salt - Edifici M2, Girona, Spain (S.P.)..
Department of Neurology, Aarhus University Hospital, Denmark (C.Z.S.)..
The Florey Institute of Neuroscience and Mental Health
Neurology
Issue Date: May-2022
Date: 2022
Publication information: Stroke 2022; 53(5): 1665-1673
Abstract: 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. 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. 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<0.001, n=367). The interquartile range rDWI SI (n=188), but not the mean rFLAIR SI (n=172), was an independent predictor of excellent functional outcome (odds ratio, 0.67 per 0.1 unit increase of interquartile range rDWI SI, 95% CI, 0.51-0.89, P=0.01). Agreement between the quantitative and qualitative approach may be insufficient to advocate DWI or FLAIR quantification as alternative for visual rating.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30071
DOI: 10.1161/STROKEAHA.121.036871
ORCID: 0000-0002-5263-3550
0000-0001-5229-2699
0000-0003-1980-2540
0000-0003-2434-1822
0000-0001-6520-3720
0000-0002-7936-6958
0000-0002-6484-8882
0000-0001-9535-022X
0000-0003-0594-4409
0000-0003-2517-4413
0000-0003-1363-0266
0000-0002-6614-8417
0000-0002-4785-1449
0000-0002-4948-5956
Journal: Stroke
PubMed URL: 35105179
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35105179/
Type: Journal Article
Subjects: brain ischemia
logistic models
magnetic resonance imaging
retrospective studies
sensitivity and specificity
Appears in Collections:Journal articles

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