1. Relevance of Brain Regions' Eloquence Assessment in Patients With a Large Ischemic Core Treated With Mechanical Thrombectomy
- Author
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Basile, Kerleroux, Joseph, Benzakoun, Kévin, Janot, Cyril, Dargazanli, Dimitri Daly, Eraya, Wagih, Ben Hassen, François, Zhu, Benjamin, Gory, Jean-Francois, Hak, Charline, Perot, Lili, Detraz, Romain, Bourcier, Rouchaud, Aymeric, Géraud, Forestier, Gaultier, Marnat, Florent, Gariel, Pasquale, Mordasini, Pierre, Seners, Guillaume, Turc, Johannes, Kaesmacher, Catherine, Oppenheim, Olivier, Naggara, Gregoire, Boulouis, Jean Christophe, Labour, Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), GHU Paris Psychiatrie et Neurosciences, Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital Gui de Chauliac [Montpellier], Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Hôpital de la Timone [CHU - APHM] (TIMONE), Aix Marseille Université (AMU), Hôpital Guillaume-et-René-Laennec [Saint-Herblain], Hôpital Dupuytren [CHU Limoges], Hôpital Pellegrin, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, University of Bern, Hôpital Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), FHU NeuroVasc [Site Sainte-Anne, Paris] (GHU-PPN), Centre Hospitalier Sainte Anne [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université de Paris (UP), Martinez Rico, Clara, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Cité (UPCité), Hôpital Gui de Chauliac [CHU Montpellier], CHU Rothschild [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
- Subjects
Male ,medicine.medical_specialty ,610 Medicine & health ,Brain tissue ,030204 cardiovascular system & hematology ,Logistic regression ,Brain Ischemia ,03 medical and health sciences ,0302 clinical medicine ,Primary outcome ,Internal medicine ,medicine ,Humans ,Infarct core ,In patient ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Aged ,Ischemic Stroke ,Retrospective Studies ,Thrombectomy ,Aged, 80 and over ,Core (anatomy) ,[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,business.industry ,Middle Aged ,Magnetic Resonance Imaging ,Mechanical thrombectomy ,Treatment Outcome ,Infarction ,Cardiology ,Female ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Neurology (clinical) ,business ,610 Medizin und Gesundheit ,Perfusion ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,030217 neurology & neurosurgery - Abstract
ObjectiveIndividualized patient selection for mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) and large ischemic core (LIC) at baseline is an unmet need. We tested the hypothesis that assessing the functional relevance of both infarcted and hypoperfused brain tissue would improve the selection framework of patients with LIC for MT.MethodsWe performed a multicenter, retrospective study of adults with LIC (ischemic core volume >70 mL on MRI diffusion-weighted imaging) with MRI perfusion treated with MT or best medical management (BMM). Primary outcome was 3-month modified Rankin Scale (mRS), favorable if 0–3. Global and regional eloquence-based core perfusion mismatch ratios were derived. The predictive accuracy for clinical outcome of eloquent regions involvement was compared in multivariable and bootstrap random forest models.ResultsA total of 138 patients with baseline LIC were included (MT n = 96 or BMM n = 42; mean age ± SD, 72.4 ± 14.4 years; 34.1% female; mRS 0–3: 45.1%). Mean core and critically hypoperfused volume were 100.4 mL ± 36.3 mL and 157.6 ± 56.2 mL, respectively, and did not differ between groups. Models considering the functional relevance of the infarct location showed a better accuracy for the prediction of mRS 0–3 with a c statistic of 0.76 and 0.83 for logistic regression model and bootstrap random forest testing sets, respectively. In these models, the interaction between treatment effect of MT and the mismatch was significant (p = 0.04). In comparison, in the logistic regression model disregarding functional eloquence, the c statistic was 0.67 and the interaction between MT and the mismatch was insignificant.ConclusionsConsidering functional eloquence of hypoperfused tissue in patients with a large infarct core at baseline allows for a more precise estimation of treatment expected benefit.Classification of EvidenceThis study provides Class II evidence that, in patients with AIS and LIC, considering the functional eloquence of the infarct location improves prediction of disability status at 3 months.
- Published
- 2021
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