Deep Learning-based Assessment of Internal Carotid Artery Anatomy to Predict Difficult Intracranial Access in Endovascular Recanalization of Acute Ischemic Stroke

BACKGROUND: Endovascular thrombectomy (EVT) duration is an important predictor for neurological outcome. Recently it was shown that an angle of ≤ 90° of the internal carotid artery (ICA) is predictive for longer EVT duration. As manual angle measurement is not trivial and time-consuming, deep learni...

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Detalles Bibliográficos
Autores principales: Nageler, Gregor, Gergel, Ingmar, Fangerau, Markus, Breckwoldt, Michael, Seker, Fatih, Bendszus, Martin, Möhlenbruch, Markus, Neuberger, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449951/
https://www.ncbi.nlm.nih.gov/pubmed/36928398
http://dx.doi.org/10.1007/s00062-023-01276-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449951/
https://www.ncbi.nlm.nih.gov/pubmed/36928398
http://dx.doi.org/10.1007/s00062-023-01276-0

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