Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis

OBJECTIVE: To evaluate by means of regression models the relationships between baseline clinical and laboratory data and lung involvement on baseline chest CT and to quantify the thoracic disease using an artificial intelligence tool and a visual scoring system to predict prognosis in patients with...

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Detalhes bibliográficos
Publicado no:Radiol Med
Main Authors: Salvatore, Cappabianca, Roberta, Fusco, Angela, de Lisio, Cesare, Paura, Alfredo, Clemente, Giuliano, Gagliardi, Giulio, Lombardi, Giuliana, Giacobbe, Maria, Russo Gaetano, Paola, Belfiore Maria, Fabrizio, Urraro, Roberta, Grassi, Beatrice, Feragalli, Vittorio, Miele
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Milan 2020
Assuntos:
Chest Radiology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7549421/
https://ncbi.nlm.nih.gov/pubmed/33047295
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11547-020-01293-w
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