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CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis
BACKGROUND: There is still uncertainty on whether ionizing radiation from CT scans can increase the risks of cancer. This study aimed to identify the association of cumulative ionizing radiation from CT scans with pertaining cancer risks in adults. METHODS: Five databases were searched from their in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710150/ https://www.ncbi.nlm.nih.gov/pubmed/36451138 http://dx.doi.org/10.1186/s12885-022-10310-2 |
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author | Cao, Chun-Feng Ma, Kun-Long Shan, Hua Liu, Tang-Fen Zhao, Si-Qiao Wan, Yi Jun-Zhang Wang, Hai-Qiang |
author_facet | Cao, Chun-Feng Ma, Kun-Long Shan, Hua Liu, Tang-Fen Zhao, Si-Qiao Wan, Yi Jun-Zhang Wang, Hai-Qiang |
author_sort | Cao, Chun-Feng |
collection | PubMed |
description | BACKGROUND: There is still uncertainty on whether ionizing radiation from CT scans can increase the risks of cancer. This study aimed to identify the association of cumulative ionizing radiation from CT scans with pertaining cancer risks in adults. METHODS: Five databases were searched from their inception to November 15, 2020. Observational studies reporting cancer risks from CT scans in adults were included. The main outcome included quantified cancer risks as cancer case numbers in exposed/unexposed adult participants with unified converted measures to odds ratio (OR) for relative risk, hazard ratio. Global background radiation (2.4 mSv per year) was used as control for lifetime attribution risk (LAR), with the same period from incubation after exposure until survival to 100 years. RESULTS: 25 studies were included with a sum of 111,649,943 participants (mean age: 45.37 years, 83.4% women), comprising 2,049,943 actual participants from 6 studies with an average follow-up period as 30.1 years (range, 5 to 80 years); 109,600,000 participants from 19 studies using LAR. The cancer risks for adults following CT scans were inordinately increased (LAR adults, OR, 10.00 [95% CI, 5.87 to 17.05]; actual adults, OR, 1.17 [95%CI, 0.89 to 1.55]; combined, OR, 5.89 [95%CI, 3.46 to 10.35]). Moreover, cancer risks elevated with increase of radiation dose (OR, 33.31 [95% CI, 21.33 to 52.02]), and multiple CT scan sites (OR, 14.08 [95% CI, 6.60 to 30.05]). The risk of solid malignancy was higher than leukemia. Notably, there were no significant differences for age, gender, country, continent, study quality and studying time phrases. CONCLUSIONS: Based on 111.6 million adult participants from 3 continents (Asia, Europe and America), this meta-analysis identifies an inordinately increase in cancer risks from CT scans for adults. Moreover, the cancer risks were positively correlated with radiation dose and CT sites. The meta-analysis highlights the awareness of potential cancer risks of CT scans as well as more reasonable methodology to quantify cancer risks in terms of life expectancy as 100 years for LAR. PROSPERO TRIAL REGISTRATION NUMBER: CRD42019133487. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10310-2. |
format | Online Article Text |
id | pubmed-9710150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97101502022-12-01 CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis Cao, Chun-Feng Ma, Kun-Long Shan, Hua Liu, Tang-Fen Zhao, Si-Qiao Wan, Yi Jun-Zhang Wang, Hai-Qiang BMC Cancer Research Article BACKGROUND: There is still uncertainty on whether ionizing radiation from CT scans can increase the risks of cancer. This study aimed to identify the association of cumulative ionizing radiation from CT scans with pertaining cancer risks in adults. METHODS: Five databases were searched from their inception to November 15, 2020. Observational studies reporting cancer risks from CT scans in adults were included. The main outcome included quantified cancer risks as cancer case numbers in exposed/unexposed adult participants with unified converted measures to odds ratio (OR) for relative risk, hazard ratio. Global background radiation (2.4 mSv per year) was used as control for lifetime attribution risk (LAR), with the same period from incubation after exposure until survival to 100 years. RESULTS: 25 studies were included with a sum of 111,649,943 participants (mean age: 45.37 years, 83.4% women), comprising 2,049,943 actual participants from 6 studies with an average follow-up period as 30.1 years (range, 5 to 80 years); 109,600,000 participants from 19 studies using LAR. The cancer risks for adults following CT scans were inordinately increased (LAR adults, OR, 10.00 [95% CI, 5.87 to 17.05]; actual adults, OR, 1.17 [95%CI, 0.89 to 1.55]; combined, OR, 5.89 [95%CI, 3.46 to 10.35]). Moreover, cancer risks elevated with increase of radiation dose (OR, 33.31 [95% CI, 21.33 to 52.02]), and multiple CT scan sites (OR, 14.08 [95% CI, 6.60 to 30.05]). The risk of solid malignancy was higher than leukemia. Notably, there were no significant differences for age, gender, country, continent, study quality and studying time phrases. CONCLUSIONS: Based on 111.6 million adult participants from 3 continents (Asia, Europe and America), this meta-analysis identifies an inordinately increase in cancer risks from CT scans for adults. Moreover, the cancer risks were positively correlated with radiation dose and CT sites. The meta-analysis highlights the awareness of potential cancer risks of CT scans as well as more reasonable methodology to quantify cancer risks in terms of life expectancy as 100 years for LAR. PROSPERO TRIAL REGISTRATION NUMBER: CRD42019133487. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10310-2. BioMed Central 2022-11-30 /pmc/articles/PMC9710150/ /pubmed/36451138 http://dx.doi.org/10.1186/s12885-022-10310-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Cao, Chun-Feng Ma, Kun-Long Shan, Hua Liu, Tang-Fen Zhao, Si-Qiao Wan, Yi Jun-Zhang Wang, Hai-Qiang CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title | CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title_full | CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title_fullStr | CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title_full_unstemmed | CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title_short | CT Scans and Cancer Risks: A Systematic Review and Dose-response Meta-analysis |
title_sort | ct scans and cancer risks: a systematic review and dose-response meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710150/ https://www.ncbi.nlm.nih.gov/pubmed/36451138 http://dx.doi.org/10.1186/s12885-022-10310-2 |
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