COVID-19: A qualitative chest CT model to identify severe form of the disease.
Fiche publication
Date publication
décembre 2020
Journal
Diagnostic and interventional imaging
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HOEFFEL Christine, Pr JOLLY Damien
Tous les auteurs :
Devie A, Kanagaratnam L, Perotin JM, Jolly D, Ravey JN, Djelouah M, Hoeffel C
Lien Pubmed
Résumé
The purpose of this study was to identify clinical and chest computed tomography (CT) features associated with a severe form of coronavirus disease 2019 (COVID-19) and to propose a quick and easy to use model to identify patients at risk of a severe form.
Mots clés
COVID-19, Risk factors, Severe acute respiratory syndrome coronavirus 2, Severity of illness index, Tomography, X-ray computed (CT)
Référence
Diagn Interv Imaging. 2020 Dec 17;: