Radiomics-based prediction of hemorrhage expansion among patients with thrombolysis/thrombectomy related-hemorrhagic transformation using machine learning

INTRODUCTION: Patients with hemorrhagic transformation (HT) were reported to have hemorrhage expansion. However, identification these patients with high risk of hemorrhage expansion has not been well studied. OBJECTIVES: We aimed to develop a radiomic score to predict hemorrhage expansion after HT a...

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Detalles Bibliográficos
Autores principales: Liu, Junfeng, Tao, Wendan, Wang, Zhetao, Chen, Xinyue, Wu, Bo, Liu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842178/
https://www.ncbi.nlm.nih.gov/pubmed/35173809
http://dx.doi.org/10.1177/17562864211060029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842178/
https://www.ncbi.nlm.nih.gov/pubmed/35173809
http://dx.doi.org/10.1177/17562864211060029

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