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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Bibliografiske detaljer

Principais autores:	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:	Artigo
Sprog:	Inglês
Udgivet:	Wiley 2024-12-01
Serier:	Annals of Clinical and Translational Neurology
Online adgang:	https://doi.org/10.1002/acn3.52215
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