Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network

BACKGROUND: For prognosis of stroke, measurement of the diffusion-perfusion mismatch is a common practice for estimating tissue at risk of infarction in the absence of timely reperfusion. However, perfusion-weighted imaging (PWI) adds time and expense to the acute stroke imaging workup. We explored...

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Detalles Bibliográficos
Autores principales: Nazari-Farsani, Sanaz, Yu, Yannan, Armindo, Rui Duarte, Lansberg, Maarten, Liebeskind, David S., Albers, Gregory, Christensen, Soren, Levin, Craig S., Zaharchuk, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727698/
https://www.ncbi.nlm.nih.gov/pubmed/36481696
http://dx.doi.org/10.1016/j.nicl.2022.103278

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727698/
https://www.ncbi.nlm.nih.gov/pubmed/36481696
http://dx.doi.org/10.1016/j.nicl.2022.103278

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