Prediction of stroke severity: systematic evaluation of lesion representations

Prediction of stroke severity: systematic evaluation of lesion representations

Abstract Objective To systematically evaluate which lesion‐based imaging features and methods allow for the best statistical prediction of poststroke deficits across independent datasets. Methods We utilized imaging and clinical data from three independent datasets of patients experiencing acute str...

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Main Authors: Anna K. Bonkhoff, Alexander L. Cohen, William Drew, Michael A. Ferguson, Aaliya Hussain, Christopher Lin, Frederic L. W. V. J. Schaper, Anthony Bourached, Anne‐Katrin Giese, Lara C. Oliveira, Robert W. Regenhardt, Markus D. Schirmer, Christina Jern, Arne G. Lindgren, Jane Maguire, Ona Wu, Sahar Zafar, John Y. Rhee, Eyal Y. Kimchi, Maurizio Corbetta, Natalia S. Rost, Michael D. Fox, MRI‐GENIE and GISCOME Investigators and the International Stroke Genetics Consortium
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Annals of Clinical and Translational Neurology
Online Access:https://doi.org/10.1002/acn3.52215
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https://doi.org/10.1002/acn3.52215

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