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Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients.
Shalmon, Tamar; Salazar, Pascal; Horie, Miho; Hanneman, Kate; Pakkal, Mini; Anwari, Vahid; Fratesi, Jennifer.
Afiliação
  • Shalmon T; Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Salazar P; University Health Network, Toronto General Hospital, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
  • Horie M; Canon Medical, Minnetonka, MN, USA.
  • Hanneman K; Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Pakkal M; University Health Network, Toronto General Hospital, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
  • Anwari V; Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Fratesi J; University Health Network, Toronto General Hospital, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
Sci Rep ; 12(1): 8143, 2022 05 17.
Article em En | MEDLINE | ID: mdl-35581369
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá