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A multi-institutional assessment of low-dose protocols in chest computed tomography: Dose and image quality.

Authors :
Tonkopi, Elena
Tetteh, Mercy Afadzi
Gunn, Catherine
Ashraf, Haseem
Rusten, Sigrid Lia
Safi, Perkhah
Tinsoe, Nora Suu
Colford, Kylie
Ouellet, Olivia
Naimi, Salma
Johansen, Safora
Source :
Acta Radiologica Open. Jan2024, Vol. 13 Issue 1, p1-10. 10p.
Publication Year :
2024

Abstract

Background: Low-dose CT (LDCT) chest protocols have widespread clinical applications for many indications; as a result, there is a need for protocol assessment prior to standardization. Dalhousie University and Oslo Metropolitan University have a formally established cooperative relationship. Purpose: The purpose is to assess radiation dose and image quality for LDCT chest protocols in seven different hospital locations in Norway and Canada. Material and methods: Retrospective dosimetry data, volumetric CT dose index (CTDIvol), and dose length product (DLP) from 240 average-sized patients as well as CT protocol parameters were included in the survey. Effective dose (ED) and size-specific dose estimate (SSDE) were calculated for each examination. For a quantitative image quality analysis, noise, CT number, and signal-to-noise ratio (SNR) were determined for three regions in the chest. The contrast-to-noise ratio (CNR) was calculated for lung parenchyma in comparison to the subcutaneous fat. Differences in dose and image quality were evaluated by a single-factor ANOVA test. A two-sample t -test was performed to determine differences in means between individual scanners. Results: The ANOVA test revealed significant differences (p <.05) in dose values for all scanners, including identical scanner models. Statistically significant differences (p <.05) were determined in mean values of the SNR distributions between the scanners in all three measured regions in the chest, as well as the CNR values. Conclusion: The observed variations in dose and image quality measurements, even within the same hospitals and between identical scanner models, indicate a potential for protocol optimization in the involved hospitals in both countries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20584601
Volume :
13
Issue :
1
Database :
Academic Search Index
Journal :
Acta Radiologica Open
Publication Type :
Academic Journal
Accession number :
175824885
Full Text :
https://doi.org/10.1177/20584601241228220