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Published in: European Radiology 10/2019

01-10-2019 | Computed Tomography | Computed Tomography

CT diagnostic reference levels: are they appropriately computed?

Authors: Thibault Vanaudenhove, Alain Van Muylem, Nigel Howarth, Pierre Alain Gevenois, Denis Tack

Published in: European Radiology | Issue 10/2019

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Abstract

Objectives

To estimate the variability of CT diagnostic reference levels (DRLs) according to the methods used for computing collected data.

Methods

Dose-length products (DLP) were collected by our national nuclear control agency from the 250 devices installed in 140 medical centers in the country. In 2015, the number of head, thorax, abdomen, and lumbar spine examinations collected in these centers ranged from approximately 20,000 to 42,000. The impact on DRLs of the number of devices considered, as well as the differences in descriptive statistics (mean vs. median DLP) or methods of pooling DLP data (all devices vs. all patients), was investigated. Variability in DRLs was investigated using a bootstrapping method as a function of the numbers of devices and examinations per device.

Results

As expected, DRLs derived from means were higher than those from medians, with substantial differences between device- and patient-related DRLs. Depending on the numbers of devices and DLP data per device, the variability ranged from 10 to 40% but was stabilized at a level of 10–20% if the number of devices was higher than 50 to 60, regardless of the number of DLP data per device.

Conclusion

Number of devices and of DLP data per device, descriptive statistics, and pooling data influence DRLs. As differences in methods of computing survey data can artificially influence DRLs, harmonization among national authorities should be recommended.

Key Points

• Due to CT dose variability, that of DRLs is at least of 10%.
• DRLs derived from medians are lower than from means and differ from those obtained by pooling all patient data.
• Fifty to 60 devices should be sufficient for estimating national DRLs, regardless of the number of data collected per device.
Literature
3.
go back to reference Authors on behalf of ICRP, Vañó E, Miller DL, et al (2017) ICRP Publication 135: Diagnostic Reference Levels in Medical Imaging. Ann ICRP 46:1–144 Authors on behalf of ICRP, Vañó E, Miller DL, et al (2017) ICRP Publication 135: Diagnostic Reference Levels in Medical Imaging. Ann ICRP 46:1–144
6.
go back to reference Stamm G (2012) Collective radiation dose from MDCT. Critical review of survey studies. In: Tack D, Kalra MK, Gevenois PA (eds) Radiation dose from multidetector CT. Springer, Heidelberg, pp 209–229 Stamm G (2012) Collective radiation dose from MDCT. Critical review of survey studies. In: Tack D, Kalra MK, Gevenois PA (eds) Radiation dose from multidetector CT. Springer, Heidelberg, pp 209–229
7.
go back to reference Tack D, Jahnen A, Kohler S et al (2014) Multidetector CT radiation dose optimisation in adults: short- and long-term effects of a clinical audit. Eur Radiol 24:169–175CrossRefPubMed Tack D, Jahnen A, Kohler S et al (2014) Multidetector CT radiation dose optimisation in adults: short- and long-term effects of a clinical audit. Eur Radiol 24:169–175CrossRefPubMed
10.
go back to reference Shrimpton PC, Hillier MC, Lewis MA, Dunn M (2006) National survey of doses from CT in the UK: 2003. Br J Radiol 79:968–980CrossRefPubMed Shrimpton PC, Hillier MC, Lewis MA, Dunn M (2006) National survey of doses from CT in the UK: 2003. Br J Radiol 79:968–980CrossRefPubMed
11.
go back to reference Jessen KA, Shrimpton PC, Geleijns J, Panzer W, Tosi G (1999) Dosimetry for optimisation of patient protection in computed tomography. Appl Radiat Isot 50:165–172CrossRefPubMed Jessen KA, Shrimpton PC, Geleijns J, Panzer W, Tosi G (1999) Dosimetry for optimisation of patient protection in computed tomography. Appl Radiat Isot 50:165–172CrossRefPubMed
17.
go back to reference Taylor S, Van Muylem A, Howarth N, Gevenois PA, Tack D (2017) CT dose survey in adults: what sample size for what precision? Eur Radiol 27(1):365–373CrossRefPubMed Taylor S, Van Muylem A, Howarth N, Gevenois PA, Tack D (2017) CT dose survey in adults: what sample size for what precision? Eur Radiol 27(1):365–373CrossRefPubMed
18.
go back to reference Smith-Bindman R, Wang Y, Yellen-Nelson TR, et al (2017) Predictors of CT radiation dose and their effect on patient care: a comprehensive analysis using automated data. Radiology 282(1):182–193 Smith-Bindman R, Wang Y, Yellen-Nelson TR, et al (2017) Predictors of CT radiation dose and their effect on patient care: a comprehensive analysis using automated data. Radiology 282(1):182–193
Metadata
Title
CT diagnostic reference levels: are they appropriately computed?
Authors
Thibault Vanaudenhove
Alain Van Muylem
Nigel Howarth
Pierre Alain Gevenois
Denis Tack
Publication date
01-10-2019
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-019-06141-8

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