Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography
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 pat...
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description | 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.
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.
As compared to SDCT, the LDCT protocol allowed for significant organ dose and cancer risk reductions (p |
doi_str_mv | 10.1371/journal.pone.0155722 |
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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.
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 (R2 = 0.72 and R2 = 0.75 for SDCT and LDCT, respectively).
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0155722</identifier><identifier>PMID: 27203720</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Aged ; Biology and Life Sciences ; Body size ; Cancer ; Cancer screening ; CAT scans ; Chest ; Computed tomography ; Computer simulation ; Diagnosis ; Early Detection of Cancer - adverse effects ; Early Detection of Cancer - methods ; Equivalence ; Female ; Health aspects ; Health risks ; Hospitals ; Humans ; Ionizing radiation ; Lung cancer ; Lung diseases ; Lung Neoplasms - diagnosis ; Male ; Mathematical analysis ; Medical imaging ; Medical screening ; Medicine and Health Sciences ; Methods ; Middle Aged ; Monte Carlo Method ; Monte Carlo simulation ; Patients ; Physical sciences ; Quality ; Radiation ; Radiation Dosage ; Research and Analysis Methods ; Risk factors ; Risk reduction ; Scanners ; Simulation ; Stochasticity ; Studies ; Tomography ; Tomography, X-Ray Computed - adverse effects ; Tomography, X-Ray Computed - methods</subject><ispartof>PloS one, 2016-05, Vol.11 (5), p.e0155722-e0155722</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Saltybaeva et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Saltybaeva et al 2016 Saltybaeva et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-2376d2e55b4fa04d3e0caf6b42e7dbe7bf0b0c3342458c1c39d66cc80458a8783</citedby><cites>FETCH-LOGICAL-c725t-2376d2e55b4fa04d3e0caf6b42e7dbe7bf0b0c3342458c1c39d66cc80458a8783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874690/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874690/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27203720$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saltybaeva, Natalia</creatorcontrib><creatorcontrib>Martini, Katharina</creatorcontrib><creatorcontrib>Frauenfelder, Thomas</creatorcontrib><creatorcontrib>Alkadhi, Hatem</creatorcontrib><title>Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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 (R2 = 0.72 and R2 = 0.75 for SDCT and LDCT, respectively).
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.</description><subject>Age</subject><subject>Aged</subject><subject>Biology and Life Sciences</subject><subject>Body size</subject><subject>Cancer</subject><subject>Cancer screening</subject><subject>CAT scans</subject><subject>Chest</subject><subject>Computed tomography</subject><subject>Computer simulation</subject><subject>Diagnosis</subject><subject>Early Detection of Cancer - adverse effects</subject><subject>Early Detection of Cancer - methods</subject><subject>Equivalence</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Ionizing radiation</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Medical screening</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulation</subject><subject>Patients</subject><subject>Physical sciences</subject><subject>Quality</subject><subject>Radiation</subject><subject>Radiation Dosage</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Risk reduction</subject><subject>Scanners</subject><subject>Simulation</subject><subject>Stochasticity</subject><subject>Studies</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - 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adverse effects</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saltybaeva, Natalia</creatorcontrib><creatorcontrib>Martini, Katharina</creatorcontrib><creatorcontrib>Frauenfelder, Thomas</creatorcontrib><creatorcontrib>Alkadhi, Hatem</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saltybaeva, Natalia</au><au>Martini, Katharina</au><au>Frauenfelder, Thomas</au><au>Alkadhi, Hatem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-05-20</date><risdate>2016</risdate><volume>11</volume><issue>5</issue><spage>e0155722</spage><epage>e0155722</epage><pages>e0155722-e0155722</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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 (R2 = 0.72 and R2 = 0.75 for SDCT and LDCT, respectively).
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27203720</pmid><doi>10.1371/journal.pone.0155722</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age Aged Biology and Life Sciences Body size Cancer Cancer screening CAT scans Chest Computed tomography Computer simulation Diagnosis Early Detection of Cancer - adverse effects Early Detection of Cancer - methods Equivalence Female Health aspects Health risks Hospitals Humans Ionizing radiation Lung cancer Lung diseases Lung Neoplasms - diagnosis Male Mathematical analysis Medical imaging Medical screening Medicine and Health Sciences Methods Middle Aged Monte Carlo Method Monte Carlo simulation Patients Physical sciences Quality Radiation Radiation Dosage Research and Analysis Methods Risk factors Risk reduction Scanners Simulation Stochasticity Studies Tomography Tomography, X-Ray Computed - adverse effects Tomography, X-Ray Computed - methods |
title | Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography |
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