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Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography
PURPOSE: Lung cancer screening with CT has been recently recommended for decreasing lung cancer mortality. The radiation dose of CT, however, must be kept as low as reasonably achievable for reducing potential stochastic risks from ionizing radiation. The purpose of this study was to calculate indiv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874690/ https://www.ncbi.nlm.nih.gov/pubmed/27203720 http://dx.doi.org/10.1371/journal.pone.0155722 |
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author | Saltybaeva, Natalia Martini, Katharina Frauenfelder, Thomas Alkadhi, Hatem |
author_facet | Saltybaeva, Natalia Martini, Katharina Frauenfelder, Thomas Alkadhi, Hatem |
author_sort | Saltybaeva, Natalia |
collection | PubMed |
description | PURPOSE: Lung cancer screening with CT has been recently recommended for decreasing lung cancer mortality. The radiation dose of CT, however, must be kept as low as reasonably achievable for reducing potential stochastic risks from ionizing radiation. The purpose of this study was to calculate individual patients’ lung doses and to estimate cancer risks in low-dose CT (LDCT) in comparison with a standard dose CT (SDCT) protocol. MATERIALS AND METHODS: This study included 47 adult patients (mean age 63.0 ± 5.7 years) undergoing chest CT on a third-generation dual-source scanner. 23/47 patients (49%) had a non-enhanced chest SDCT, 24 patients (51%) underwent LDCT at 100 kVp with spectral shaping at a dose equivalent to a chest x-ray. 3D-dose distributions were obtained from Monte Carlo simulations for each patient, taking into account their body size and individual CT protocol. Based on the dose distributions, patient-specific lung doses were calculated and relative cancer risk was estimated according to BEIR VII recommendations. RESULTS: As compared to SDCT, the LDCT protocol allowed for significant organ dose and cancer risk reductions (p<0.001). On average, lung dose was reduced from 7.7 mGy to 0.3 mGy when using LDCT, which was associated with lowering of the cancer risk from 8.6 to 0.35 per 100’000 cases. A strong linear correlation between lung dose and patient effective diameter was found for both protocols (R(2) = 0.72 and R(2) = 0.75 for SDCT and LDCT, respectively). CONCLUSION: Use of a LDCT protocol for chest CT with a dose equivalent to a chest x-ray allows for significant lung dose and cancer risk reduction from ionizing radiation. |
format | Online Article Text |
id | pubmed-4874690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48746902016-06-09 Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography Saltybaeva, Natalia Martini, Katharina Frauenfelder, Thomas Alkadhi, Hatem PLoS One Research Article PURPOSE: Lung cancer screening with CT has been recently recommended for decreasing lung cancer mortality. The radiation dose of CT, however, must be kept as low as reasonably achievable for reducing potential stochastic risks from ionizing radiation. The purpose of this study was to calculate individual patients’ lung doses and to estimate cancer risks in low-dose CT (LDCT) in comparison with a standard dose CT (SDCT) protocol. MATERIALS AND METHODS: This study included 47 adult patients (mean age 63.0 ± 5.7 years) undergoing chest CT on a third-generation dual-source scanner. 23/47 patients (49%) had a non-enhanced chest SDCT, 24 patients (51%) underwent LDCT at 100 kVp with spectral shaping at a dose equivalent to a chest x-ray. 3D-dose distributions were obtained from Monte Carlo simulations for each patient, taking into account their body size and individual CT protocol. Based on the dose distributions, patient-specific lung doses were calculated and relative cancer risk was estimated according to BEIR VII recommendations. RESULTS: As compared to SDCT, the LDCT protocol allowed for significant organ dose and cancer risk reductions (p<0.001). On average, lung dose was reduced from 7.7 mGy to 0.3 mGy when using LDCT, which was associated with lowering of the cancer risk from 8.6 to 0.35 per 100’000 cases. A strong linear correlation between lung dose and patient effective diameter was found for both protocols (R(2) = 0.72 and R(2) = 0.75 for SDCT and LDCT, respectively). CONCLUSION: Use of a LDCT protocol for chest CT with a dose equivalent to a chest x-ray allows for significant lung dose and cancer risk reduction from ionizing radiation. Public Library of Science 2016-05-20 /pmc/articles/PMC4874690/ /pubmed/27203720 http://dx.doi.org/10.1371/journal.pone.0155722 Text en © 2016 Saltybaeva 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 Saltybaeva, Natalia Martini, Katharina Frauenfelder, Thomas Alkadhi, Hatem Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title_full | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title_fullStr | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title_full_unstemmed | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title_short | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
title_sort | organ dose and attributable cancer risk in lung cancer screening with low-dose computed tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874690/ https://www.ncbi.nlm.nih.gov/pubmed/27203720 http://dx.doi.org/10.1371/journal.pone.0155722 |
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