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French Imaging Database Against Coronavirus (FIDAC): A large COVID-19 multi-center chest CT database.

Authors :
Boussel L
Bartoli JM
Adnane S
Meder JF
Malléa P
Clech J
Zins M
Bérégi JP
Source :
Diagnostic and interventional imaging [Diagn Interv Imaging] 2022 Oct; Vol. 103 (10), pp. 460-463. Date of Electronic Publication: 2022 May 26.
Publication Year :
2022

Abstract

Purpose: During the first wave of the COVID-19 pandemic, the French Society of Radiology and the French College of Radiology, in partnership with NEHS Digital, have set up a system to collect chest computed tomography (CT) examinations with clinical, virological and radiological metadata, from patients clinically suspected of COVID-19 pneumonia. This allowed the constitution of an anonymized multicenter database, named FIDAC (French Imaging Database Against Coronavirus). The aim of this report was to describe the content of this public database.<br />Materials and Methods: Twenty-two French radiology centers participated to the data collection. The data collected were chest CT examinations in DICOM format associated with the following metadata: patient age and sex, originating facility identifier, originating facility region, time from symptom onset to CT examination, indication for CT examination, reverse transcription-polymerase chain reaction (RT-PCR) results and normalized CT report performed by a senior radiologist. All the data were anonymized and sent through a NEHS Digital system to a centralized data center.<br />Results: A total of 5944 patients were included from the 22 centers aggregated into 8 regions with a mean number of patients of 743 ± 603.3 [SD] per region (range: 102-1577 patients). Reasons for CT examination and normalized CT reports were provided for all patients. RT-PCR results were provided in 5574 patients (93.77%) with a positive result of RT-PCR in 44.6% of patients.<br />Conclusion: The FIDAC project allowed the creation of a large database of chest CT images and metadata available, under conditions, in open access through the CERF-SFR website.<br /> (Copyright © 2022 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.)

Details

Language :
English
ISSN :
2211-5684
Volume :
103
Issue :
10
Database :
MEDLINE
Journal :
Diagnostic and interventional imaging
Publication Type :
Academic Journal
Accession number :
35715328
Full Text :
https://doi.org/10.1016/j.diii.2022.05.006