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Location-weighted versus Volume-weighted Mismatch at MRI for Response to Mechanical Thrombectomy in Acute Stroke

dc.rights.licenseopenen_US
dc.contributor.authorFUKUTOMI, Hikaru
dc.contributor.authorYAMAMOTO, Takayuki
hal.structure.identifierInstitut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]
dc.contributor.authorSIBON, Igor
dc.contributor.authorCHRISTENSEN, Soren
dc.contributor.authorRAPOSO, Nicolas
dc.contributor.authorMARNAT, Gaultier
dc.contributor.authorALBUCHER, Jean François
dc.contributor.authorOLINDO, Stéphane
dc.contributor.authorCALVIÈRE, Lionel
hal.structure.identifierInstitut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]
dc.contributor.authorSAGNIER, Sharmila
dc.contributor.authorVIGUIER, Alain
hal.structure.identifierUFR Sciences médicales 3 [Bordeaux]
dc.contributor.authorRENOU, Pauline
dc.contributor.authorGUENEGO, Adrien
dc.contributor.authorPOLI, Mathilde
dc.contributor.authorDARCOURT, Jean
dc.contributor.authorDEBRUXELLES, Sabrina
dc.contributor.authorDRIF, Amel
dc.contributor.authorTHALAMAS, Claire
dc.contributor.authorSOMMET, Agnès
dc.contributor.authorROUSSEAU, Vanessa
dc.contributor.authorMAZIGHI, Mikael
dc.contributor.authorBONNEVILLE, Fabrice
dc.contributor.authorALBERS, Gregory W.
dc.contributor.authorCOGNARD, Christophe
hal.structure.identifierNeurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
dc.contributor.authorDOUSSET, Vincent
dc.contributor.authorOLIVOT, Jean-Marc
hal.structure.identifierNeurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
dc.contributor.authorTOURDIAS, Thomas
dc.date.accessioned2024-02-06T15:54:29Z
dc.date.available2024-02-06T15:54:29Z
dc.date.issued2023-02
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/187942
dc.description.abstractEnBackground: A target mismatch profile can identify good clinical response to recanalization after acute ischemic stroke, but does not consider region specificities. Purpose: To test whether location-weighted infarction core and mismatch, determined from diffusion and perfusion MRI performed in patients with acute stroke, could improve prediction of good clinical response to mechanical thrombectomy compared with a target mismatch profile. Materials and Methods: In this secondary analysis, two prospectively collected independent stroke data sets (2012–2015 and 2017–2019) were analyzed. From the brain before stroke (BBS) study data (data set 1), an eloquent map was computed through voxel-wise associations between the infarction core (based on diffusion MRI on days 1–3 following stroke) and National Institutes of Health Stroke Scale (NIHSS) score. The French acute multimodal imaging to select patients for mechanical thrombectomy (FRAME) data (data set 2) consisted of large vessel occlusion–related acute ischemic stroke successfully recanalized. From acute MRI studies (performed on arrival, prior to thrombectomy) in data set 2, target mismatch and eloquent (vs noneloquent) infarction core and mismatch were computed from the intersection of diffusion- and perfusion-detected lesions with the coregistered eloquent map. Associations of these imaging metrics with early neurologic improvement were tested in multivariable regression models, and areas under the receiver operating characteristic curve (AUCs) were compared. Results: Data sets 1 and 2 included 321 (median age, 69 years [IQR, 58–80 years]; 207 men) and 173 (median age, 74 years [IQR, 65–82 years]; 90 women) patients, respectively. Eloquent mismatch was positively and independently associated with good clinical response (odds ratio [OR], 1.14; 95% CI: 1.02, 1.27; P =.02) and eloquent infarction core was negatively associated with good response (OR, 0.85; 95% CI: 0.77, 0.95; P =.004), while noneloquent mismatch was not associated with good response (OR, 1.03; 95% CI: 0.98, 1.07; P =.20). Moreover, adding eloquent metrics improved the prediction accuracy (AUC, 0.73; 95% CI: 0.65, 0.81) compared with clinical variables alone (AUC, 0.65; 95% CI: 0.56, 0.73; P =.01) or a target mismatch profile (AUC, 0.67; 95% CI: 0.59, 0.76; P =.03). Conclusion: Location-weighted infarction core and mismatch on diffusion and perfusion MRI scans improved the identification of patients with acute stroke who would benefit from mechanical thrombectomy compared with the volume-based target mismatch profile. © RSNA, 2022.
dc.description.sponsorshipTranslational Research and Advanced Imaging Laboratoryen_US
dc.language.isoENen_US
dc.title.enLocation-weighted versus Volume-weighted Mismatch at MRI for Response to Mechanical Thrombectomy in Acute Stroke
dc.title.alternativeRadiologyen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1148/radiol.220080en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed36194114en_US
bordeaux.journalRadiologyen_US
bordeaux.volume306en_US
bordeaux.hal.laboratoriesNeurocentre Magendie - U1215en_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionCNRS
bordeaux.teamRelations glie-neuroneen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDMinistère de la Santéen_US
hal.identifierhal-04442249
hal.version1
hal.date.transferred2024-02-06T15:54:33Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Radiology&rft.date=2023-02&rft.volume=306&rft.issue=2&rft.au=FUKUTOMI,%20Hikaru&YAMAMOTO,%20Takayuki&SIBON,%20Igor&CHRISTENSEN,%20Soren&RAPOSO,%20Nicolas&rft.genre=article


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