Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients

The aim of this study was to compare whole lung CT density histograms to predict critical illness outcome and hospital length of stay in a cohort of 80 COVID-19 patients. CT chest images on segmented lungs were retrospectively analyzed. Functional Principal Component Analysis (FPCA) was used to find...

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Detalles Bibliográficos
Autores principales: Shalmon, Tamar, Salazar, Pascal, Horie, Miho, Hanneman, Kate, Pakkal, Mini, Anwari, Vahid, Fratesi, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114017/
https://www.ncbi.nlm.nih.gov/pubmed/35581369
http://dx.doi.org/10.1038/s41598-022-12311-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114017/
https://www.ncbi.nlm.nih.gov/pubmed/35581369
http://dx.doi.org/10.1038/s41598-022-12311-4

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