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

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...

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Autores principales: Hamper, Christina M., Fleckenstein, Florian Nima, Büttner, Laura, Hamm, Bernd, Thieme, Nadine, Thiess, Hans-Martin, Scholz, Oriane, Döllinger, Felix, Böning, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609045/
https://www.ncbi.nlm.nih.gov/pubmed/33169104
http://dx.doi.org/10.1016/j.ejro.2020.100283
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author Hamper, Christina M.
Fleckenstein, Florian Nima
Büttner, Laura
Hamm, Bernd
Thieme, Nadine
Thiess, Hans-Martin
Scholz, Oriane
Döllinger, Felix
Böning, Georg
author_facet Hamper, Christina M.
Fleckenstein, Florian Nima
Büttner, Laura
Hamm, Bernd
Thieme, Nadine
Thiess, Hans-Martin
Scholz, Oriane
Döllinger, Felix
Böning, Georg
author_sort Hamper, Christina M.
collection PubMed
description 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: SNR(normal lung): 17.0 ± 5.9, CNR(GGO/normal lung): 7.5 ± 5.0, and CNR(consolidation/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.
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spelling pubmed-76090452020-11-05 Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center Hamper, Christina M. Fleckenstein, Florian Nima Büttner, Laura Hamm, Bernd Thieme, Nadine Thiess, Hans-Martin Scholz, Oriane Döllinger, Felix Böning, Georg Eur J Radiol Open Article 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: SNR(normal lung): 17.0 ± 5.9, CNR(GGO/normal lung): 7.5 ± 5.0, and CNR(consolidation/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. Elsevier 2020-11-03 /pmc/articles/PMC7609045/ /pubmed/33169104 http://dx.doi.org/10.1016/j.ejro.2020.100283 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Hamper, Christina M.
Fleckenstein, Florian Nima
Büttner, Laura
Hamm, Bernd
Thieme, Nadine
Thiess, Hans-Martin
Scholz, Oriane
Döllinger, Felix
Böning, Georg
Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title_full Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title_fullStr Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title_full_unstemmed Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title_short Submillisievert chest CT in patients with COVID-19 - experiences of a German Level-I center
title_sort submillisievert chest ct in patients with covid-19 - experiences of a german level-i center
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609045/
https://www.ncbi.nlm.nih.gov/pubmed/33169104
http://dx.doi.org/10.1016/j.ejro.2020.100283
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