Standardization of a CT Protocol for Imaging Patients with Suspected COVID-19—A RACOON Project

Author:

Steuwe Andrea1ORCID,Kamp Benedikt1ORCID,Afat Saif2ORCID,Akinina Alena3,Aludin Schekeb4,Bas Elif Gülsah5,Berger Josephine2ORCID,Bohrer Evelyn6ORCID,Brose Alexander6ORCID,Büttner Susanne Martina7,Ehrengut Constantin8,Gerwing Mirjam9,Grosu Sergio10ORCID,Gussew Alexander3ORCID,Güttler Felix11ORCID,Heinrich Andreas11ORCID,Jiraskova Petra12,Kloth Christopher7,Kottlors Jonathan13ORCID,Kuennemann Marc-David9,Liska Christian14,Lubina Nora14,Manzke Mathias15ORCID,Meinel Felix G.15ORCID,Meyer Hans-Jonas8ORCID,Mittermeier Andreas10ORCID,Persigehl Thorsten13,Schmill Lars-Patrick4ORCID,Steinhardt Manuel12ORCID, ,Antoch Gerald1,Valentin Birte1

Affiliation:

1. Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

2. Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tuebingen, Germany

3. Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), 06120 Halle, Germany

4. Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel, Germany

5. Department of Diagnostic and Interventional Radiology, University Hospital of Marburg, 35043 Marburg, Germany

6. Department of Diagnostic and Interventional Radiology, University Hospital Giessen, Justus Liebig University, Klinikstr. 33, 35392 Giessen, Germany

7. Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany

8. Department of Diagnostic and Interventional Radiology, University of Leipzig Medical Center, Liebigstraße 20, 04103 Leipzig, Germany

9. Clinic of Radiology, University of Münster, 48149 Münster, Germany

10. Department of Radiology, LMU University Hospital, LMU Munich, 81377 Munich, Germany

11. Department of Radiology, Jena University Hospital, Friedrich Schiller University, 07747 Jena, Germany

12. Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany

13. Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany

14. Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany

15. Institute of Diagnostic and Interventional Radiology, Paediatric Radiology and Neuroradiology, University Medical Centre Rostock, Schillingallee 36, 18057 Rostock, Germany

Abstract

CT protocols that diagnose COVID-19 vary in regard to the associated radiation exposure and the desired image quality (IQ). This study aims to evaluate CT protocols of hospitals participating in the RACOON (Radiological Cooperative Network) project, consolidating CT protocols to provide recommendations and strategies for future pandemics. In this retrospective study, CT acquisitions of COVID-19 patients scanned between March 2020 and October 2020 (RACOON phase 1) were included, and all non-contrast protocols were evaluated. For this purpose, CT protocol parameters, IQ ratings, radiation exposure (CTDIvol), and central patient diameters were sampled. Eventually, the data from 14 sites and 534 CT acquisitions were analyzed. IQ was rated good for 81% of the evaluated examinations. Motion, beam-hardening artefacts, or image noise were reasons for a suboptimal IQ. The tube potential ranged between 80 and 140 kVp, with the majority between 100 and 120 kVp. CTDIvol was 3.7 ± 3.4 mGy. Most healthcare facilities included did not have a specific non-contrast CT protocol. Furthermore, CT protocols for chest imaging varied in their settings and radiation exposure. In future, it will be necessary to make recommendations regarding the required IQ and protocol parameters for the majority of CT scanners to enable comparable IQ as well as radiation exposure for different sites but identical diagnostic questions.

Funder

“NUM 2.0”

Heinrich Heine University Düsseldorf

Publisher

MDPI AG

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