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Extension of COVID-19 pulmonary parenchyma lesions based on real-life visual assessment on initial chest CT is an independent predictor of poor patient outcome.
Grégory, Jules; Raynaud, Lucas; Galy, Adrien; Corre, Félix; Bijot, Jean Charles; Nguyen, Yann; Vilgrain, Valérie.
  • Grégory J; Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France.
  • Raynaud L; Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France.
  • Galy A; Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France.
  • Corre F; Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France.
  • Bijot JC; Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France.
  • Nguyen Y; Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France.
  • Vilgrain V; Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France.
Infect Dis (Lond) ; 52(11): 838-840, 2020 11.
Article in English | MEDLINE | ID: covidwho-642716
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Infect Dis (Lond) Year: 2020 Document Type: Article Affiliation country: 23744235.2020.1792544

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Infect Dis (Lond) Year: 2020 Document Type: Article Affiliation country: 23744235.2020.1792544