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COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System
OBJECTIVES: To study the impact of COVID-19 on chest CT practice during the different waves using Dose Archiving and Communication System (DACS). METHODS: Retrospective study including data from 86,136 chest CT acquisitions from 27 radiology centers (15 private; 12 public) between January 1, 2020, a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908501/ https://www.ncbi.nlm.nih.gov/pubmed/36754891 http://dx.doi.org/10.1007/s00330-023-09426-1 |
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author | Meyrignac, Olivier Devic, Clément Munier, Mélodie Rius, Emily Crézé, Maud Moreno, Ramiro |
author_facet | Meyrignac, Olivier Devic, Clément Munier, Mélodie Rius, Emily Crézé, Maud Moreno, Ramiro |
author_sort | Meyrignac, Olivier |
collection | PubMed |
description | OBJECTIVES: To study the impact of COVID-19 on chest CT practice during the different waves using Dose Archiving and Communication System (DACS). METHODS: Retrospective study including data from 86,136 chest CT acquisitions from 27 radiology centers (15 private; 12 public) between January 1, 2020, and October 13, 2021, using a centralized DACS. Daily chest CT activity and dosimetry information such as dose length product (DLP), computed tomography dose index (CTDI), and acquisition parameters were collected. Pandemic indicators (daily tests performed, incidence, and hospital admissions) and vaccination rates were collected from a governmental open-data platform. Descriptive statistics and correlation analysis were performed. RESULTS: For the first two waves, strong positive and significant correlations were found between all pandemic indicators and total chest CT activity, as high as R = 0.7984 between daily chest CT activity and hospital admissions during the second wave (p < 0.0001). We found differences between public hospitals and private imaging centers during the first wave, with private centers demonstrating a negative correlation between daily chest CT activity and hospital admissions (−0.2819, p = 0.0019). Throughout the third wave, simultaneously with the rise of vaccination rates, total chest CT activity decreased with significant negative correlations with pandemic indicators, such as R = −0.7939 between daily chest CTs and daily incidence (p < 0.0001). Finally, less than 5% of all analyzed chest CTs could be considered as low dose. CONCLUSIONS: During the first waves, COVID-19 had a strong impact on chest CT practice which was lost with the arrival of vaccination. Low-dose protocols remained marginal. KEY POINTS: • There was a significant correlation between the number of daily chest CTs and pandemic indicators throughout the first two waves. It was lost during the third wave due to vaccination arrival. • Differences were observed between public and private centers, especially during the first wave, less during the second, and were lost during the third. • During the first three waves of COVID-19 pandemic, few CT helical acquisitions could be considered as low dose with only 3.8% of the acquisitions according to CTDIvol and 4.3% according to DLP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09426-1. |
format | Online Article Text |
id | pubmed-9908501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-99085012023-02-09 COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System Meyrignac, Olivier Devic, Clément Munier, Mélodie Rius, Emily Crézé, Maud Moreno, Ramiro Eur Radiol Imaging Informatics and Artificial Intelligence OBJECTIVES: To study the impact of COVID-19 on chest CT practice during the different waves using Dose Archiving and Communication System (DACS). METHODS: Retrospective study including data from 86,136 chest CT acquisitions from 27 radiology centers (15 private; 12 public) between January 1, 2020, and October 13, 2021, using a centralized DACS. Daily chest CT activity and dosimetry information such as dose length product (DLP), computed tomography dose index (CTDI), and acquisition parameters were collected. Pandemic indicators (daily tests performed, incidence, and hospital admissions) and vaccination rates were collected from a governmental open-data platform. Descriptive statistics and correlation analysis were performed. RESULTS: For the first two waves, strong positive and significant correlations were found between all pandemic indicators and total chest CT activity, as high as R = 0.7984 between daily chest CT activity and hospital admissions during the second wave (p < 0.0001). We found differences between public hospitals and private imaging centers during the first wave, with private centers demonstrating a negative correlation between daily chest CT activity and hospital admissions (−0.2819, p = 0.0019). Throughout the third wave, simultaneously with the rise of vaccination rates, total chest CT activity decreased with significant negative correlations with pandemic indicators, such as R = −0.7939 between daily chest CTs and daily incidence (p < 0.0001). Finally, less than 5% of all analyzed chest CTs could be considered as low dose. CONCLUSIONS: During the first waves, COVID-19 had a strong impact on chest CT practice which was lost with the arrival of vaccination. Low-dose protocols remained marginal. KEY POINTS: • There was a significant correlation between the number of daily chest CTs and pandemic indicators throughout the first two waves. It was lost during the third wave due to vaccination arrival. • Differences were observed between public and private centers, especially during the first wave, less during the second, and were lost during the third. • During the first three waves of COVID-19 pandemic, few CT helical acquisitions could be considered as low dose with only 3.8% of the acquisitions according to CTDIvol and 4.3% according to DLP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09426-1. Springer Berlin Heidelberg 2023-02-09 /pmc/articles/PMC9908501/ /pubmed/36754891 http://dx.doi.org/10.1007/s00330-023-09426-1 Text en © The Author(s), under exclusive licence to European Society of Radiology 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Imaging Informatics and Artificial Intelligence Meyrignac, Olivier Devic, Clément Munier, Mélodie Rius, Emily Crézé, Maud Moreno, Ramiro COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title | COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title_full | COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title_fullStr | COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title_full_unstemmed | COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title_short | COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System |
title_sort | covid-19 and vaccination impact on radiology departments provided by dose archiving and communication system |
topic | Imaging Informatics and Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908501/ https://www.ncbi.nlm.nih.gov/pubmed/36754891 http://dx.doi.org/10.1007/s00330-023-09426-1 |
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