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Magnetic Resonance Imaging Selection for Endovascular Stroke Therapy [Clinical Sciences]

Background and Purpose—The GOLIATH trial (General or Local Anesthesia in Intra-Arterial Therapy) compared infarct growth and outcome in patients undergoing endovascular therapy under either general anesthesia or conscious sedation. Magnetic resonance imaging was performed before and after the procedure to study infarct growth. In this post hoc analysis of GOLIATH, we aimed to characterize the workflow of patients undergoing magnetic resonance imaging selection before endovascular therapy.Methods—We randomized 128 patients with anterior circulation large vessel occlusion stroke within 6 hours of onset to either general anesthesia or conscious sedation (1:1 allocation). We studied workflow time intervals to examine whether magnetic resonance imaging conferred a time delay in treatment when compared with computed tomography-based studies that emphasized rapid workflow.Results—Of 128 patients enrolled between March 2015 and February 2017, 65 were randomized to general anesthesia. Baseline demographic and clinical variables were balanced between the treatment arms. The median interval from scan to groin puncture was 56.5 minutes (interquartile range, 44.5–73.5) for all patients. The median interval from admission to groin puncture was 68 minutes (interquartile range, 54.5–87 minutes). Comparable intervals in recent randomized data were 51 minutes (interquartile range, 39–68) for scan to groin puncture in the ESCAPE trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) and 90 minutes (interquartile range, 69–120 minutes) for door to groin puncture in the SWIFT-PRIME study (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment).Conclusions—Workflow in GOLIATH demonstrates that magnetic resonance imaging selection for endovascular therapy can be accomplished rapidly and within a similar time frame as computed tomography-based selection.Clinical Trial Registration—URL: https://www.clinicaltrials.gov. Unique identifier: NCT02317237.

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