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

被引:1
作者
Boussel, Loic [1 ,2 ]
Bartoli, Jean-Michel [3 ]
Adnane, Samy [1 ]
Meder, Jean-Francois [4 ,5 ]
Mallea, Patrick [6 ]
Clech, Jeremy [6 ]
Zins, Marc [7 ]
Beregi, Jean-Paul [8 ]
机构
[1] Hosp Civils Lyon, Croix Rousse Hosp, Dept Radiol, F-69004 Lyon, France
[2] Univ Claude Bernard Lyon 1, INSA Lyon, Univ Lyon, UJM St Etienne,CNRS,Inserm,CREATIS UMR 5220,U1294, F-69100 Villeurbanne, France
[3] Aix Marseille Univ, Univ Hosp La Timone, AP HM, Dept Radiol, F-13385 Marseille, France
[4] St Anne Hosp, Dept Neuroimaging, F-75013 Paris, France
[5] Univ Paris Cite, F-75006 Paris, France
[6] NEHS DIGITAL, F-92240 Malakoff, France
[7] Paris St Joseph Hosp, Dept Radiol, F-75014 Paris, France
[8] Univ Hosp Nimes, Dept Med Imaging, F-30900 Nimes, France
关键词
Computed tomography; COVID-19; Database; Multicenter studies; RADIOLOGY; PNEUMONIA; PREDICTION; MODEL;
D O I
10.1016/j.diii.2022.05.006
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 con-tent of this public database.Materials and methods: Twenty-two French radiology centers participated to the data collection. The data col-lected 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 normal-ized CT report performed by a senior radiologist. All the data were anonymized and sent through a NEHS Dig-ital system to a centralized data center.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.Conclusion: The FIDAC project allowed the creation of a large database of chest CT images and metadata avail-able, under conditions, in open access through the CERF-SFR website.(c) 2022 Societe francaise de radiologie. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:460 / 463
页数:4
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