Brun, Anne Laure http://orcid.org/0000-0002-4447-7850
Gence-Breney, Alexia
Trichereau, Julie
Ballester, Marie Christine
Vasse, Marc
Chabi, Marie Laure
Mellot, François
Grenier, Philippe A.
Article History
Received: 4 June 2020
Revised: 27 August 2020
Accepted: 23 September 2020
First Online: 3 October 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Anne Laure BRUN.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: One of the authors (Julie Trichereau) has significant statistical expertise.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Chest CT scans of two hundreds patients from the three hundred and nineteen patients included in this study were also used after removal of identifying details, to train or validate a deep learning–based tool for automatic quantification of abnormalities associated with COVID. The article describing the development of this new method has been submitted to Radiology: Artificial intelligence and is currently under revision. The radiologists who analyzed the CT scans included in the presently submitted article did not participate to the selection of the cases used for the development of the automatic quantitative tool.
: • retrospective• diagnostic and observational study• performed at one institution
Free to read: This content has been made available to all.