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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2020
Materias:
Chest Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549421/
https://www.ncbi.nlm.nih.gov/pubmed/33047295
http://dx.doi.org/10.1007/s11547-020-01293-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549421/
https://www.ncbi.nlm.nih.gov/pubmed/33047295
http://dx.doi.org/10.1007/s11547-020-01293-w

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