Hemodynamic MRI parameters to predict asymptomatic unilateral carotid artery stenosis with random forest machine learning

BACKGROUND: Internal carotid artery stenosis (ICAS) can cause stroke and cognitive decline. Associated hemodynamic impairments, which are most pronounced within individual watershed areas (iWSA) between vascular territories, can be assessed with hemodynamic-oxygenation-sensitive MRI and may help to...

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Detalles Bibliográficos
Autores principales: Gleißner, Carina, Kaczmarz, Stephan, Kufer, Jan, Schmitzer, Lena, Kallmayer, Michael, Zimmer, Claus, Wiestler, Benedikt, Preibisch, Christine, Göttler, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406220/
https://www.ncbi.nlm.nih.gov/pubmed/37555162
http://dx.doi.org/10.3389/fnimg.2022.1056503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406220/
https://www.ncbi.nlm.nih.gov/pubmed/37555162
http://dx.doi.org/10.3389/fnimg.2022.1056503

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