Relationship between paediatric CT scans and subsequent risk of leukaemia and brain tumours: assessment of the impact of underlying conditions

Background: We previously reported evidence of a dose–response relationship between ionising-radiation exposure from paediatric computed tomography (CT) scans and the risk of leukaemia and brain tumours in a large UK cohort. Underlying unreported conditions could have introduced bias into these find...

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Veröffentlicht in:British journal of cancer 2016-02, Vol.114 (4), p.388-394
Hauptverfasser: de Gonzalez, Amy Berrington, Salotti, Jane A, McHugh, Kieran, Little, Mark P, Harbron, Richard W, Lee, Choonsik, Ntowe, Estelle, Braganza, Melissa Z, Parker, Louise, Rajaraman, Preetha, Stiller, Charles, Stewart, Douglas R, Craft, Alan W, Pearce, Mark S
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container_end_page 394
container_issue 4
container_start_page 388
container_title British journal of cancer
container_volume 114
creator de Gonzalez, Amy Berrington
Salotti, Jane A
McHugh, Kieran
Little, Mark P
Harbron, Richard W
Lee, Choonsik
Ntowe, Estelle
Braganza, Melissa Z
Parker, Louise
Rajaraman, Preetha
Stiller, Charles
Stewart, Douglas R
Craft, Alan W
Pearce, Mark S
description Background: We previously reported evidence of a dose–response relationship between ionising-radiation exposure from paediatric computed tomography (CT) scans and the risk of leukaemia and brain tumours in a large UK cohort. Underlying unreported conditions could have introduced bias into these findings. Methods: We collected and reviewed additional clinical information from radiology information systems (RIS) databases, underlying cause of death and pathology reports. We conducted sensitivity analyses excluding participants with cancer-predisposing conditions or previous unreported cancers and compared the dose–response analyses with our original results. Results: We obtained information from the RIS and death certificates for about 40% of the cohort (n∼180 000) and found cancer-predisposing conditions in 4 out of 74 leukaemia/myelodysplastic syndrome (MDS) cases and 13 out of 135 brain tumour cases. As these conditions were unrelated to CT exposure, exclusion of these participants did not alter the dose–response relationships. We found evidence of previous unreported cancers in 2 leukaemia/MDS cases, 7 brain tumour cases and 232 in non-cases. These previous cancers were related to increased number of CTs. Exclusion of these cancers reduced the excess relative risk per mGy by 15% from 0.036 to 0.033 for leukaemia/MDS ( P -trend=0.02) and by 30% from 0.023 to 0.016 ( P -trend
doi_str_mv 10.1038/bjc.2015.415
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Underlying unreported conditions could have introduced bias into these findings. Methods: We collected and reviewed additional clinical information from radiology information systems (RIS) databases, underlying cause of death and pathology reports. We conducted sensitivity analyses excluding participants with cancer-predisposing conditions or previous unreported cancers and compared the dose–response analyses with our original results. Results: We obtained information from the RIS and death certificates for about 40% of the cohort (n∼180 000) and found cancer-predisposing conditions in 4 out of 74 leukaemia/myelodysplastic syndrome (MDS) cases and 13 out of 135 brain tumour cases. As these conditions were unrelated to CT exposure, exclusion of these participants did not alter the dose–response relationships. We found evidence of previous unreported cancers in 2 leukaemia/MDS cases, 7 brain tumour cases and 232 in non-cases. These previous cancers were related to increased number of CTs. Exclusion of these cancers reduced the excess relative risk per mGy by 15% from 0.036 to 0.033 for leukaemia/MDS ( P -trend=0.02) and by 30% from 0.023 to 0.016 ( P -trend&lt;0.0001) for brain tumours. When we included pathology reports we had additional clinical information for 90% of the cases. Additional exclusions from these reports further reduced the risk estimates, but this sensitivity analysis may have underestimated risks as reports were only available for cases. 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Underlying unreported conditions could have introduced bias into these findings. Methods: We collected and reviewed additional clinical information from radiology information systems (RIS) databases, underlying cause of death and pathology reports. We conducted sensitivity analyses excluding participants with cancer-predisposing conditions or previous unreported cancers and compared the dose–response analyses with our original results. Results: We obtained information from the RIS and death certificates for about 40% of the cohort (n∼180 000) and found cancer-predisposing conditions in 4 out of 74 leukaemia/myelodysplastic syndrome (MDS) cases and 13 out of 135 brain tumour cases. As these conditions were unrelated to CT exposure, exclusion of these participants did not alter the dose–response relationships. We found evidence of previous unreported cancers in 2 leukaemia/MDS cases, 7 brain tumour cases and 232 in non-cases. 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Underlying unreported conditions could have introduced bias into these findings. Methods: We collected and reviewed additional clinical information from radiology information systems (RIS) databases, underlying cause of death and pathology reports. We conducted sensitivity analyses excluding participants with cancer-predisposing conditions or previous unreported cancers and compared the dose–response analyses with our original results. Results: We obtained information from the RIS and death certificates for about 40% of the cohort (n∼180 000) and found cancer-predisposing conditions in 4 out of 74 leukaemia/myelodysplastic syndrome (MDS) cases and 13 out of 135 brain tumour cases. As these conditions were unrelated to CT exposure, exclusion of these participants did not alter the dose–response relationships. We found evidence of previous unreported cancers in 2 leukaemia/MDS cases, 7 brain tumour cases and 232 in non-cases. 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subjects 692/4028/67/1922
692/4028/67/1990/283
692/700/1421/1846/2771
692/700/1750
Adolescent
Adult
Biomedical and Life Sciences
Biomedicine
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - epidemiology
Brain Neoplasms - etiology
Cancer Research
Child
Clinical Study
Cohort Studies
Drug Resistance
Epidemiology
Female
Humans
Leukemia - diagnostic imaging
Leukemia - epidemiology
Leukemia - etiology
Male
Molecular Medicine
Neoplasms, Radiation-Induced - diagnostic imaging
Neoplasms, Radiation-Induced - epidemiology
Neoplasms, Radiation-Induced - etiology
Oncology
Retrospective Studies
Tomography, X-Ray Computed - adverse effects
Tomography, X-Ray Computed - statistics & numerical data
Young Adult
title Relationship between paediatric CT scans and subsequent risk of leukaemia and brain tumours: assessment of the impact of underlying conditions
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