Machine‐learning‐based outcome prediction in stroke patients with middle cerebral artery‐M1 occlusions and early thrombectomy
European Journal of Neurology2020Vol. 28(4), pp. 1234–1243
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Janne Hamann, Lisa Herzog, Carina Wehrli, Tomas Dobrocky, Andrea Bink, Marco Piccirelli, Leonidas D Panos, Johannes Kaesmacher, Urs Fischer, Christoph Stippich, Andreas R. Luft, Jan Gralla, Marcel Arnold, Roland Wiest, Beate Sick, Susanne Wegener
Abstract
In patients with MCA-M1 occlusion strokes referred to EVT within 6 h of symptom onset, infarct core volume was associated with outcome. However, ROI-based imaging variables led to no significant improvement in outcome prediction at an individual patient level when added to a set of clinical predictors. Our study is in concordance with current practice, where imaging mismatch or collateral readouts are not recommended as factors for excluding patients with MCA-M1 occlusion for early EVT.
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