Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort

Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort

Abstract Our aim was to develop practical models built with simple clinical and radiological features to help diagnosing Coronavirus disease 2019 [COVID-19] in a real-life emergency cohort. To do so, 513 consecutive adult patients suspected of having COVID-19 from 15 emergency departments from 2020-...

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Auteurs principaux: Paul Schuster, Amandine Crombé, Hubert Nivet, Alice Berger, Laurent Pourriol, Nicolas Favard, Alban Chazot, Florian Alonzo-Lacroix, Emile Youssof, Alexandre Ben Cheikh, Julien Balique, Basile Porta, François Petitpierre, Grégoire Bouquet, Charles Mastier, Flavie Bratan, Jean-François Bergerot, Vivien Thomson, Nathan Banaste, Guillaume Gorincour
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/db4dd3af5915405f9d3d6815066a0955
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Internet

https://doaj.org/article/db4dd3af5915405f9d3d6815066a0955

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