Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke

OBJECTIVE: To develop and validate a model based on the radiomics features of the infarct areas on non-contrast-enhanced CT to predict hemorrhagic transformation (HT) in acute ischemic stroke. MATERIALS AND METHODS: A total of 118 patients diagnosed with acute ischemic stroke in two centers from Jan...

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Detalles Bibliográficos
Autores principales: Xie, Gang, Li, Ting, Ren, Yitao, Wang, Danni, Tang, Wuli, Li, Junlin, Li, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533555/
https://www.ncbi.nlm.nih.gov/pubmed/36213752
http://dx.doi.org/10.3389/fnins.2022.1002717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533555/
https://www.ncbi.nlm.nih.gov/pubmed/36213752
http://dx.doi.org/10.3389/fnins.2022.1002717

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