Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system

OBJECTIVE: Proposing a scoring tool to predict COVID-19 patients’ outcomes based on initially assessed clinical and CT features. METHODS: All patients, who were referred to a tertiary-university hospital respiratory triage (March 27–April 26, 2020), were highly clinically suggestive for COVID-19 and...

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Detalles Bibliográficos
Autores principales: Salahshour, Faeze, Mehrabinejad, Mohammad-Mehdi, Nassiri Toosi, Mohssen, Gity, Masoumeh, Ghanaati, Hossein, Shakiba, Madjid, Nosrat Sheybani, Sina, Komaki, Hamidreza, Kolahi, Shahriar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809225/
https://www.ncbi.nlm.nih.gov/pubmed/33449185
http://dx.doi.org/10.1007/s00330-020-07623-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809225/
https://www.ncbi.nlm.nih.gov/pubmed/33449185
http://dx.doi.org/10.1007/s00330-020-07623-w

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