Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome

Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome

Abstract Background Computed tomography (CT) enables quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, helping in outcome prediction. Methods From 1 to 22 March 2020, patients with pneumonia symptoms, positive lung CT scan, and confirmed SARS-CoV-2 on reverse...

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Bibliographic Details
Main Authors: João Matos, Francesco Paparo, Ilaria Mussetto, Lorenzo Bacigalupo, Alessio Veneziano, Silvia Perugin Bernardi, Ennio Biscaldi, Enrico Melani, Giancarlo Antonucci, Paolo Cremonesi, Marco Lattuada, Alberto Pilotto, Emanuele Pontali, Gian Andrea Rollandi
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:European Radiology Experimental
Subjects:
COVID-19
Lung, SARS-Cov-2
Pneumonia (viral)
Support vector machine
Tomography (x-ray computed)
Online Access:http://link.springer.com/article/10.1186/s41747-020-00167-0

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http://link.springer.com/article/10.1186/s41747-020-00167-0

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