Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke

OBJECTIVE: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. MATERIALS AND METHODS: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the trainin...

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Detalles Bibliográficos
Autores principales: Zhou, Yiran, Wu, Di, Yan, Su, Xie, Yan, Zhang, Shun, Lv, Wenzhi, Qin, Yuanyuan, Liu, Yufei, Liu, Chengxia, Lu, Jun, Li, Jia, Zhu, Hongquan, Liu, Weiyin Vivian, Liu, Huan, Zhang, Guiling, Zhu, Wenzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Neuroimaging and Head & Neck
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340229/
https://www.ncbi.nlm.nih.gov/pubmed/35695316
http://dx.doi.org/10.3348/kjr.2022.0160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340229/
https://www.ncbi.nlm.nih.gov/pubmed/35695316
http://dx.doi.org/10.3348/kjr.2022.0160

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