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Infectious Diseases Volume 52, 2020 - Issue 11
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Letter to the Editor

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

Jules Grégorya Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, FranceCorrespondence[email protected]
,
Lucas Raynauda Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France
,
Adrien Galyb Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France
,
Félix Correb Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France
,
Jean Charles Bijota Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France
,
Yann Nguyenb Department of Internal Medicine, Beaujon Hospital, Paris Nord Val de Seine Hospitals, Assistance Publique des Hôpitaux de Paris, University of Paris, Clichy, France
&
Valérie Vilgraina Department of Radiology, Assistance Publique des Hôpitaux de Paris Nord, Beaujon Hospital, University of Paris, Clichy, France;c Centre for Research on Inflammation, Laboratory of Imaging Biomarkers, INSERM U1149, Paris, France
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Pages 838-840 | Received 22 Jun 2020, Accepted 01 Jul 2020, Published online: 13 Jul 2020

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Erik Ahlstrand, Sara Cajander, Per Cajander, Edvin Ingberg, Erika Löf, Matthias Wegener & Mats Lidén. (2021) Visual scoring of chest CT at hospital admission predicts hospitalization time and intensive care admission in Covid-19. Infectious Diseases 53:8, pages 622-632.
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Articles from other publishers (3)

Nikolaos-Achilleas Arkoudis, Emmanouil Karofylakis, Ornella Moschovaki-Zeiger, Emmanouil Vrentzos, Konstantinos Palialexis, Dimitrios Filippiadis, Nikolaos Oikonomopoulos, Nikolaos Kelekis & Stavros Spiliopoulos. (2022) Covid Visual Assessment Scale (“Co.V.A.Sc.”): quantification of COVID-19 disease extent on admission chest computed tomography (CT) in the prediction of clinical outcome—a retrospective analysis of 273 patients. Emergency Radiology 29:3, pages 479-489.
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Marina Chalkia, Nikolaos-Achilleas Arkoudis, Emmanouil Maragkoudakis, Stamatis Rallis, Ioanna Tremi, Alexandros G. Georgakilas, Vassilis Kouloulias, Efstathios Efstathopoulos & Kalliopi Platoni. (2022) The Role of Ionizing Radiation for Diagnosis and Treatment against COVID-19: Evidence and Considerations. Cells 11:3, pages 467.
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Matthias Fontanellaz, Lukas Ebner, Adrian Huber, Alan Peters, Laura Löbelenz, Cynthia Hourscht, Jeremias Klaus, Jaro Munz, Thomas Ruder, Dionysios Drakopoulos, Dominik Sieron, Elias Primetis, Johannes T. Heverhagen, Stavroula Mougiakakou & Andreas Christe. (2021) A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs. Investigative Radiology 56:6, pages 348-356.
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