Revascularization Outcome Prediction for A Direct Aspiration-First Pass Technique (ADAPT) from Pre-Treatment Imaging and Machine Learning

A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the treatment of large vessel ischemic stroke. Here, we sought to create a machine learning-based model that uses pre-treatment imaging metrics to predict successful outcomes for ADAPT in middle cerebral artery (MCA)...

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Detalles Bibliográficos
Autores principales: Patel, Tatsat R., Waqas, Muhammad, Sarayi, Seyyed M. M. J., Ren, Zeguang, Borlongan, Cesario V., Dossani, Rimal, Levy, Elad I., Siddiqui, Adnan H., Snyder, Kenneth V., Davies, Jason M., Mokin, Maxim, Tutino, Vincent M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534082/
https://www.ncbi.nlm.nih.gov/pubmed/34679386
http://dx.doi.org/10.3390/brainsci11101321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534082/
https://www.ncbi.nlm.nih.gov/pubmed/34679386
http://dx.doi.org/10.3390/brainsci11101321

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