Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics

OBJECTIVE: To explore the value of CT texture analysis (CTTA) for determining coronavirus disease 2019 (COVID-19) severity. METHODS: The clinical and CT data of 81 patients with COVID-19 were retrospectively analyzed. The texture features were extracted using LK2.1. The two-sample t test or Mann–Whi...

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Detalles Bibliográficos
Autores principales: Wei, Wei, Hu, Xiao-wen, Cheng, Qi, Zhao, Ying-ming, Ge, Ya-qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327490/
https://www.ncbi.nlm.nih.gov/pubmed/32613287
http://dx.doi.org/10.1007/s00330-020-07012-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327490/
https://www.ncbi.nlm.nih.gov/pubmed/32613287
http://dx.doi.org/10.1007/s00330-020-07012-3

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