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Patient organ and effective dose estimation in CT: comparison of four software applications

BACKGROUND: Radiation dose in computed tomography (CT) has become a topic of high interest due to the increasing numbers of CT examinations performed worldwide. Hence, dose tracking and organ dose calculation software are increasingly used. We evaluated the organ dose variability associated with the...

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Autores principales: De Mattia, Cristina, Campanaro, Federica, Rottoli, Federica, Colombo, Paola Enrica, Pola, Andrea, Vanzulli, Angelo, Torresin, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021892/
https://www.ncbi.nlm.nih.gov/pubmed/32060664
http://dx.doi.org/10.1186/s41747-019-0130-5
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author De Mattia, Cristina
Campanaro, Federica
Rottoli, Federica
Colombo, Paola Enrica
Pola, Andrea
Vanzulli, Angelo
Torresin, Alberto
author_facet De Mattia, Cristina
Campanaro, Federica
Rottoli, Federica
Colombo, Paola Enrica
Pola, Andrea
Vanzulli, Angelo
Torresin, Alberto
author_sort De Mattia, Cristina
collection PubMed
description BACKGROUND: Radiation dose in computed tomography (CT) has become a topic of high interest due to the increasing numbers of CT examinations performed worldwide. Hence, dose tracking and organ dose calculation software are increasingly used. We evaluated the organ dose variability associated with the use of different software applications or calculation methods. METHODS: We tested four commercial software applications on CT protocols actually in use in our hospital: CT-Expo, NCICT, NCICTX, and Virtual Dose. We compared dose coefficients, estimated organ doses and effective doses obtained by the four software applications by varying exposure parameters. Our results were also compared with estimates reported by the software authors. RESULTS: All four software applications showed dependence on tube voltage and volume CT dose index, while only CT-Expo was also dependent on other exposure parameters, in particular scanner model and pitch caused a variability till 50%. We found a disagreement between our results and those reported by the software authors (up to 600%), mainly due to a different extent of examined body regions. The relative range of the comparison of the four software applications was within 35% for most organs inside the scan region, but increased over the 100% for organs partially irradiated and outside the scan region. For effective doses, this variability was less evident (ranging from 9 to 36%). CONCLUSIONS: The two main sources of organ dose variability were the software application used and the scan region set. Dose estimate must be related to the process used for its calculation.
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spelling pubmed-70218922020-02-28 Patient organ and effective dose estimation in CT: comparison of four software applications De Mattia, Cristina Campanaro, Federica Rottoli, Federica Colombo, Paola Enrica Pola, Andrea Vanzulli, Angelo Torresin, Alberto Eur Radiol Exp Original Article BACKGROUND: Radiation dose in computed tomography (CT) has become a topic of high interest due to the increasing numbers of CT examinations performed worldwide. Hence, dose tracking and organ dose calculation software are increasingly used. We evaluated the organ dose variability associated with the use of different software applications or calculation methods. METHODS: We tested four commercial software applications on CT protocols actually in use in our hospital: CT-Expo, NCICT, NCICTX, and Virtual Dose. We compared dose coefficients, estimated organ doses and effective doses obtained by the four software applications by varying exposure parameters. Our results were also compared with estimates reported by the software authors. RESULTS: All four software applications showed dependence on tube voltage and volume CT dose index, while only CT-Expo was also dependent on other exposure parameters, in particular scanner model and pitch caused a variability till 50%. We found a disagreement between our results and those reported by the software authors (up to 600%), mainly due to a different extent of examined body regions. The relative range of the comparison of the four software applications was within 35% for most organs inside the scan region, but increased over the 100% for organs partially irradiated and outside the scan region. For effective doses, this variability was less evident (ranging from 9 to 36%). CONCLUSIONS: The two main sources of organ dose variability were the software application used and the scan region set. Dose estimate must be related to the process used for its calculation. Springer International Publishing 2020-02-14 /pmc/articles/PMC7021892/ /pubmed/32060664 http://dx.doi.org/10.1186/s41747-019-0130-5 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
De Mattia, Cristina
Campanaro, Federica
Rottoli, Federica
Colombo, Paola Enrica
Pola, Andrea
Vanzulli, Angelo
Torresin, Alberto
Patient organ and effective dose estimation in CT: comparison of four software applications
title Patient organ and effective dose estimation in CT: comparison of four software applications
title_full Patient organ and effective dose estimation in CT: comparison of four software applications
title_fullStr Patient organ and effective dose estimation in CT: comparison of four software applications
title_full_unstemmed Patient organ and effective dose estimation in CT: comparison of four software applications
title_short Patient organ and effective dose estimation in CT: comparison of four software applications
title_sort patient organ and effective dose estimation in ct: comparison of four software applications
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021892/
https://www.ncbi.nlm.nih.gov/pubmed/32060664
http://dx.doi.org/10.1186/s41747-019-0130-5
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