Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia

OBJECTIVES: To develop and validate a radiomics nomogram for timely predicting severe COVID-19 pneumonia. MATERIALS AND METHODS: Three hundred and sixteen COVID-19 patients (246 non-severe and 70 severe) were retrospectively collected from two institutions and allocated to training, validation, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liang, Wang, Li, Zeng, Feifei, Peng, Gongling, Ke, Zan, Liu, Huan, Zha, Yunfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009273/
https://www.ncbi.nlm.nih.gov/pubmed/33786655
http://dx.doi.org/10.1007/s00330-021-07727-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009273/
https://www.ncbi.nlm.nih.gov/pubmed/33786655
http://dx.doi.org/10.1007/s00330-021-07727-x

Ejemplares similares