Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease

Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease

(1) Background: COVID-19 continues to represent a worrying pandemic. Despite the high percentage of non-severe illness, a wide clinical variability is often reported in real-world practice. Accurate predictors of disease aggressiveness, however, are still lacking. The purpose of our study was to eva...

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Autores principales: Pierpaolo Palumbo, Maria Michela Palumbo, Federico Bruno, Giovanna Picchi, Antonio Iacopino, Chiara Acanfora, Ferruccio Sgalambro, Francesco Arrigoni, Arturo Ciccullo, Benedetta Cosimini, Alessandra Splendiani, Antonio Barile, Francesco Masedu, Alessandro Grimaldi, Ernesto Di Cesare, Carlo Masciocchi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
COVID-19
lung inflammation
prognosis
tomography computed scanners
lung volume measurement
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/da4fcf94af0943caa330f6233a15e65c
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https://doaj.org/article/da4fcf94af0943caa330f6233a15e65c

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