Prediction of response to thrombolysis in acute stroke using neural network analysis of CT perfusion imaging

BACKGROUND: In ischaemic stroke patients undergoing reperfusion therapy, the amount of salvageable tissue, that is, extent of the ischaemic penumbra, predicts the clinical outcomes. CT perfusion (CTP) enables quantification of penumbral tissues to guide decision making, and current programmes have a...

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Detalles Bibliográficos
Autores principales: Chen, Yutong, Tozer, Daniel J, Liu, Weiran, Peake, Edward J, Markus, Hugh S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472959/
https://www.ncbi.nlm.nih.gov/pubmed/37350512
http://dx.doi.org/10.1177/23969873231183206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472959/
https://www.ncbi.nlm.nih.gov/pubmed/37350512
http://dx.doi.org/10.1177/23969873231183206

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