Low-dose chest CT and the impact on nodule visibility

Tugwell-Allsup, J; Owen, BW; England, A

Abstract

The need to continually optimise CT protocols is essential to ensure the lowest possible radiation dose for the clinical task and individual patient. The aim of this study was to explore the effect of reducing effective mAs on nodule detection and radiation dose across six scanners. An anthropomorphic chest phantom was scanned using a low-dose chest CT protocol, with the effective mAs lowered to the lowest permissible level. All other acquisition parameters remained consistent. Images were evaluated by five radiologists to determine their sensitivity in detecting six simulated nodules within the phantom. Image noise was calculated together with DLP. The lowest possible mAs achievable ranged from 7 to 19 mAs. The two highest mAs setting (17 mAs + 19 mAs) had kV modulation enabled (100 kV instead of 120 kV) which consequently resulted in a higher nodule detection rate. Overall nodule detection averaged at 91% (range 80-97%). Out of a possible 180 nodules, 16 were missed, with 12 of those 16 being the same nodule. Noise was double for the Somatom Sensation scanner when compared to the others; however, this scanner did not have iterative reconstruction and it was installed over 10 years ago. There was a strong correlation between image noise and scanner age. This study highlighted that nodules can be detected at very low effective mAs (<20 mAs) but only when other acquisition parameters are optimised i.e. iterative reconstruction and kV modulation. Nodule detection rates were affected by nodule location and image noise. This study consolidates previous findings on how to successfully optimise low-dose chest CT. It also highlights the difficulty with standardisation owing to factors such as scanner age and different vendor attributes. [Abstract copyright: Crown Copyright © 2020. Published by Elsevier Ltd. All rights reserved.]

Citation

Tugwell-Allsup, J., Owen, B., & England, A. (2021). Low-dose chest CT and the impact on nodule visibility. Radiography, 27(1), 24-30. https://doi.org/10.1016/j.radi.2020.05.004

• Journal Article Type: Article
• Acceptance Date: May 8, 2020
• Online Publication Date: Jun 1, 2020
• Publication Date: Feb 1, 2021
• Deposit Date: Jun 22, 2020
• Journal: Radiography
• Print ISSN: 1078-8174
• Electronic ISSN: 1532-2831
• Publisher: Elsevier
• Volume: 27
• Issue: 1
• Pages: 24-30
• DOI: https://doi.org/10.1016/j.radi.2020.05.004
• Publisher URL: https://doi.org/10.1016/j.radi.2020.05.004
• Related Public URLs: https://www.journals.elsevier.com/radiography
• Additional Information: Additional Information : ** From PubMed via Jisc Publications Router **Journal IDs: eissn 1532-2831 **Article IDs: pubmed: 32499090; pii: S1078-8174(20)30076-6 **History: accepted 08-05-2020; revised 07-05-2020; submitted 24-02-2020