Automated quantitative thin slice volumetric low dose CT analysis predicts disease severity in COVID-19 patients

PURPOSE: This study aimed to identify predictive (bio-)markers for COVID-19 severity derived from automated quantitative thin slice low dose volumetric CT analysis, clinical chemistry and lung function testing. METHODS: Seventy-four COVID-19 patients admitted between March 16th and June 3rd 2020 to...

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Detalles Bibliográficos
Autores principales: Stoleriu, Mircea Gabriel, Gerckens, Michael, Obereisenbuchner, Florian, Zaimova, Iva, Hetrodt, Justin, Mavi, Sarah-Christin, Schmidt, Felicitas, Schoenlebe, Anna Auguste, Heinig-Menhard, Katharina, Koch, Ina, Jörres, Rudolf A, Spiro, Judith, Nowak, Lorenz, Hatz, Rudolf, Behr, Jürgen, Gesierich, Wolfgang, Heiß-Neumann, Marion, Dinkel, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Cardiothoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058052/
https://www.ncbi.nlm.nih.gov/pubmed/33910141
http://dx.doi.org/10.1016/j.clinimag.2021.04.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058052/
https://www.ncbi.nlm.nih.gov/pubmed/33910141
http://dx.doi.org/10.1016/j.clinimag.2021.04.008

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