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Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center

Authors :
Christina M. Hamper
Florian Nima Fleckenstein
Laura Büttner
Bernd Hamm
Nadine Thieme
Hans-Martin Thiess
Oriane Scholz
Felix Döllinger
Georg Böning
Source :
European Journal of Radiology Open, Vol 7, Iss , Pp 100283- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Purpose: Computed tomography (CT) is used for initial diagnosis and therapy monitoring of patients with coronavirus disease 2019 (COVID-19). As patients of all ages are affected, radiation dose is a concern. While follow-up CT examinations lead to high cumulative radiation doses, the ALARA principle states that the applied dose should be as low as possible while maintaining adequate image quality. The aim of this study was to evaluate parameter settings for two commonly used CT scanners to ensure sufficient image quality/diagnostic confidence at a submillisievert dose. Materials and methods: We retrospectively analyzed 36 proven COVID-19 cases examined on two different scanners. Image quality was evaluated objectively as signal-to-noise ratio (SNR)/contrast-to-noise ratio (CNR) measurement and subjectively by two experienced, independent readers using 3-point Likert scales. CT dose index volume (CTDIvol) and dose-length product (DLP) were extracted from dose reports, and effective dose was calculated. Results: With the tested parameter settings we achieved effective doses below 1 mSv (median 0.5 mSv, IQR: 0.2 mSv, range: 0.3−0.9 mSv) in all 36 patients. Thirty-four patients had typical COVID-19 findings. Both readers were confident regarding the typical COVID-19 CT-characteristics in all cases (3 ± 0). Objective image quality parameters were: SNRnormal lung: 17.0 ± 5.9, CNRGGO/normal lung: 7.5 ± 5.0, and CNRconsolidation/normal lung: 15.3 ± 6.1. Conclusion: With the tested parameters, we achieved applied doses in the submillisievert range, on two different CT scanners without sacrificing diagnostic confidence regarding COVID-19 findings.

Details

Language :
English
ISSN :
23520477
Volume :
7
Issue :
100283-
Database :
Directory of Open Access Journals
Journal :
European Journal of Radiology Open
Publication Type :
Academic Journal
Accession number :
edsdoj.6b0139d6fa0a47c6ad8396bb87d3a5eb
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ejro.2020.100283