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Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians
Open accessAbstract
OBJECTIVE: To assess the cancer risk in children and adolescents following exposure to low dose ionising radiation from diagnostic computed tomography (CT) scans. DESIGN: Population based, cohort, data linkage study in Australia. COHORT MEMBERS: 10.9 million people identified from Australian Medicare records, aged 0-19 years on 1 January 1985 or born between 1 January 1985 and 31 December 2005; all exposures to CT scans funded by Medicare during 1985-2005 were identified for this cohort. Cancers diagnosed in cohort members up to 31 December 2007 were obtained through linkage to national cancer records. MAIN OUTCOME: Cancer incidence rates in individuals exposed to a CT scan more than one year before any cancer diagnosis, compared with cancer incidence rates in unexposed individuals. RESULTS: 60,674 cancers were recorded, including 3150 in 680,211 people exposed to a CT scan at least one year before any cancer diagnosis. The mean duration of follow-up after exposure was 9.5 years. Overall cancer incidence was 24% greater for exposed than for unexposed people, after accounting for age, sex, and year of birth (incidence rate ratio (IRR) 1.24 (95% confidence interval 1.20 to 1.29); P<0.001). We saw a dose-response relation, and the IRR increased by 0.16 (0.13 to 0.19) for each additional CT scan. The IRR was greater after exposure at younger ages (P<0.001 for trend). At 1-4, 5-9, 10-14, and 15 or more years since first exposure, IRRs were 1.35 (1.25 to 1.45), 1.25 (1.17 to 1.34), 1.14 (1.06 to 1.22), and 1.24 (1.14 to 1.34), respectively. The IRR increased significantly for many types of solid cancer (digestive organs, melanoma, soft tissue, female genital, urinary tract, brain, and thyroid); leukaemia, myelodysplasia, and some other lymphoid cancers. There was an excess of 608 cancers in people exposed to CT scans (147 brain, 356 other solid, 48 leukaemia or myelodysplasia, and 57 other lymphoid). The absolute excess incidence rate for all cancers combined was 9.38 per 100,000 person years at risk, as of 31 December 2007. The average effective radiation dose per scan was estimated as 4.5 mSv. CONCLUSIONS: The increased incidence of cancer after CT scan exposure in this cohort was mostly due to irradiation. Because the cancer excess was still continuing at the end of follow-up, the eventual lifetime risk from CT scans cannot yet be determined. Radiation doses from contemporary CT scans are likely to be lower than those in 1985-2005, but some increase in cancer risk is still likely from current scans. Future CT scans should be limited to situations where there is a definite clinical indication, with every scan optimised to provide a diagnostic CT image at the lowest possible radiation dose.
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From Risk of hematological malignancies from CT radiation exposure in children, adolescents and young adults (2023) · cites this paper as [13]
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- All cancers, except brain cancer after brain CT IRR=incidence rate ratio, exposed v unexposed; EIR=absolute excess incidence rate compared with rates in unexposed group. *IRR, EIR, and number of excess cancers calculated after stratification for age, sex, and year of birth. No commercial reuse: See rights and reprints http://www.bmj.com/permissions Subscribe: http://www.bmj.com/subscribe Minerva Access is the Institutional Repository of The University of Melbourne Author/s:
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Metadata
- Authors
- Mathews, J. D., Forsythe, A. V., Brady, Z., Butler, M. W., Goergen, S. K., Byrnes, G. B., Giles, G. G., Wallace, A. B., Anderson, P. R., Guiver, T. A., McGale, P., Cain, T. M., Dowty, J. G., Bickerstaffe, A. C., & Darby, S. C.
- Affiliations
- The University of Melbourne (AU)
- Department of Health and Aged Care (AU)
- Monash University (AU)
- Centre international de recherche sur le cancer (FR)
- Cancer Council Victoria (AU)
- Australian Radiation Protection and Nuclear Safety Agency (AU)
- Australian Institute of Health and Welfare (AU)
- University of Oxford (GB)
- Royal Children's Hospital (AU)
- Corresponding author
- Mathews, J. D.
- ORCID
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2013-05-21
- Volume
- 346
- Issue
- may21 1
- Pages
- f2360-f2360
- ISSN
- 1756-1833 (ISSN-L)
- PMC
- PMC3660619
- OpenAlex
- W2130876592
- Cited by
- 2,029
- References
- 53
- Citations by year
- 2026: 74 · 2025: 100 · 2024: 120 · 2023: 131 · 2022: 134 · 2021: 201 · 2020: 177 · 2019: 153 · 2018: 152 · 2017: 173 · 2016: 176 · 2015: 195 · 2014: 186 · 2013: 50
- FWCI
- 157.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- Australian Government
- Cancer Research UK
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- computed tomography, pediatric radiation exposure, low-dose radiation, cancer risk, cancer incidence, dose-response relationship, age at exposure, time since exposure, solid tumors, leukemia, myelodysplastic syndrome, lymphoid cancer, melanoma, thyroid cancer, radiation-induced cancer, diagnostic imaging safety, Australia, Medicare claims data, cancer registry
- MeSH terms
- Adolescent, Australia, Child, Child, Preschool, Epidemiologic Methods, Female, Humans, Infant, Male, Neoplasms, Radiation-Induced, Radiation Dosage, Socioeconomic Factors, Time Factors, Tomography, X-Ray Computed, Age Distribution, Sex Distribution, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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