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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...
Autores principales: | Palumbo, Pierpaolo, Palumbo, Maria Michela, Bruno, Federico, Picchi, Giovanna, Iacopino, Antonio, Acanfora, Chiara, Sgalambro, Ferruccio, Arrigoni, Francesco, Ciccullo, Arturo, Cosimini, Benedetta, Splendiani, Alessandra, Barile, Antonio, Masedu, Francesco, Grimaldi, Alessandro, Di Cesare, Ernesto, Masciocchi, Carlo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624922/ https://www.ncbi.nlm.nih.gov/pubmed/34829472 http://dx.doi.org/10.3390/diagnostics11112125 |
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