Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis

BACKGROUND: Small multiple intracranial aneurysms (SMIAs) are known to be more prone to rupture than are single aneurysms. However, specific recommendations for patients with small MIAs are not included in the guidelines of the American Heart Association and American Stroke Association. In this stud...

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Detalles Bibliográficos
Autores principales: Tong, Xin, Feng, Xin, Peng, Fei, Niu, Hao, Zhang, Xin, Li, Xifeng, Zhao, Yuanli, Liu, Aihua, Duan, Chuanzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883873/
https://www.ncbi.nlm.nih.gov/pubmed/36709247
http://dx.doi.org/10.1186/s12883-023-03088-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883873/
https://www.ncbi.nlm.nih.gov/pubmed/36709247
http://dx.doi.org/10.1186/s12883-023-03088-8

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