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. 2020 Jul 20;51(8):2488–2494. doi: 10.1161/STROKEAHA.120.030334

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© 2020 The Authors.

Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made.

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Figure 3. — Number of passages with a mechanical thrombectomy (MTB) device predicted and observed. Overall number of predicted and observed passages with an MTB device for successful recanalization (modified Thrombolysis in Cerebral Infarction score, ≥2b) in the independent validation cohort. The second machine learning model achieved a good prediction based on clot-derived radiomic features, with an explained variance of 0.70, an mean squared error of 0.76 and a Pearson correlation coefficient of 0.73 (P<0.05).