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Local DRLs and automated risk estimation in paediatric interventional cardiology

INTRODUCTION: Cardiac catheterization procedures result in high radiation doses and often multiple procedures are necessary for congenital heart disease patients. However, diagnostic reference levels (DRL) remain scarce. Our first goal was finding the optimal DRL parameter and determining appropriat...

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Autores principales: Buytaert, Dimitri, Vandekerckhove, Kristof, Panzer, Joseph, Rubbens, Lukas, De Wolf, Daniël, Bacher, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668795/
https://www.ncbi.nlm.nih.gov/pubmed/31365573
http://dx.doi.org/10.1371/journal.pone.0220359
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author Buytaert, Dimitri
Vandekerckhove, Kristof
Panzer, Joseph
Rubbens, Lukas
De Wolf, Daniël
Bacher, Klaus
author_facet Buytaert, Dimitri
Vandekerckhove, Kristof
Panzer, Joseph
Rubbens, Lukas
De Wolf, Daniël
Bacher, Klaus
author_sort Buytaert, Dimitri
collection PubMed
description INTRODUCTION: Cardiac catheterization procedures result in high radiation doses and often multiple procedures are necessary for congenital heart disease patients. However, diagnostic reference levels (DRL) remain scarce. Our first goal was finding the optimal DRL parameter and determining appropriate DRLs. The second goal was to calculate organ doses (OD), effective doses (ED) and lifetime attributable risks (LAR) per procedure and to provide conversion factors based on dose area product (DAP). MATERIALS AND METHODS: DRLs are calculated for each procedure type, as the 75(th) percentile of the cumulative value per procedure from the corresponding parameter. All irradiation events in the DICOM Structured Reports were automatically processed and simulated using PCXMC, resulting in OD, ED and LAR. Using a Kruskal Wallis H test and subsequent pairwise comparisons, differences in median values of the DRL parameter between procedure types were assessed. RESULTS: Linear regression showed a strong correlation and narrow confidence interval between DAP and product of body weight and fluoroscopy time (BWxFT), even when all procedures (diagnostic and interventional) are combined. Only 15% of the pairwise comparisons were statistically significant for DAP normalized to BWxFT (DAP(BWxFT)). The latter pairs contained less frequent procedure types with significant outliers. For DAP normalized to BW (DAP(BW)), 38% of the pairwise comparisons showed statistically significant differences. Conversion factors from DAP(BW) to OD and ED were reported for various weight groups, due to the higher correlation between DAP(BW) and both OD and ED than between DAP and both OD and ED. CONCLUSIONS: The P75 of DAP(BWxFT) for all procedures combined serves as an appropriate DRL value. This facilitates local DRL determination in smaller paediatric centres, which often have insufficient data to produce appropriate DRLs for different procedure types. Conversion factors are more reliable starting from DAP(BW) instead of DAP and should be used according to the appropriate BW group.
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spelling pubmed-66687952019-08-06 Local DRLs and automated risk estimation in paediatric interventional cardiology Buytaert, Dimitri Vandekerckhove, Kristof Panzer, Joseph Rubbens, Lukas De Wolf, Daniël Bacher, Klaus PLoS One Research Article INTRODUCTION: Cardiac catheterization procedures result in high radiation doses and often multiple procedures are necessary for congenital heart disease patients. However, diagnostic reference levels (DRL) remain scarce. Our first goal was finding the optimal DRL parameter and determining appropriate DRLs. The second goal was to calculate organ doses (OD), effective doses (ED) and lifetime attributable risks (LAR) per procedure and to provide conversion factors based on dose area product (DAP). MATERIALS AND METHODS: DRLs are calculated for each procedure type, as the 75(th) percentile of the cumulative value per procedure from the corresponding parameter. All irradiation events in the DICOM Structured Reports were automatically processed and simulated using PCXMC, resulting in OD, ED and LAR. Using a Kruskal Wallis H test and subsequent pairwise comparisons, differences in median values of the DRL parameter between procedure types were assessed. RESULTS: Linear regression showed a strong correlation and narrow confidence interval between DAP and product of body weight and fluoroscopy time (BWxFT), even when all procedures (diagnostic and interventional) are combined. Only 15% of the pairwise comparisons were statistically significant for DAP normalized to BWxFT (DAP(BWxFT)). The latter pairs contained less frequent procedure types with significant outliers. For DAP normalized to BW (DAP(BW)), 38% of the pairwise comparisons showed statistically significant differences. Conversion factors from DAP(BW) to OD and ED were reported for various weight groups, due to the higher correlation between DAP(BW) and both OD and ED than between DAP and both OD and ED. CONCLUSIONS: The P75 of DAP(BWxFT) for all procedures combined serves as an appropriate DRL value. This facilitates local DRL determination in smaller paediatric centres, which often have insufficient data to produce appropriate DRLs for different procedure types. Conversion factors are more reliable starting from DAP(BW) instead of DAP and should be used according to the appropriate BW group. Public Library of Science 2019-07-31 /pmc/articles/PMC6668795/ /pubmed/31365573 http://dx.doi.org/10.1371/journal.pone.0220359 Text en © 2019 Buytaert et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Buytaert, Dimitri
Vandekerckhove, Kristof
Panzer, Joseph
Rubbens, Lukas
De Wolf, Daniël
Bacher, Klaus
Local DRLs and automated risk estimation in paediatric interventional cardiology
title Local DRLs and automated risk estimation in paediatric interventional cardiology
title_full Local DRLs and automated risk estimation in paediatric interventional cardiology
title_fullStr Local DRLs and automated risk estimation in paediatric interventional cardiology
title_full_unstemmed Local DRLs and automated risk estimation in paediatric interventional cardiology
title_short Local DRLs and automated risk estimation in paediatric interventional cardiology
title_sort local drls and automated risk estimation in paediatric interventional cardiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668795/
https://www.ncbi.nlm.nih.gov/pubmed/31365573
http://dx.doi.org/10.1371/journal.pone.0220359
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