It’s been a decade since Brenner and colleagues published their landmark paper1 suggesting that the radiation doses from paediatric computed tomography (CT) scans would cause a significant number of cancer deaths, sometime in the future. The following day the story hit the front page of USA Today, and the world of CT scans was changed forever.
It was never in question that CT is a remarkably effective modality, but the message that there might be some potential downside in terms of cancer risks was one that was immediately and vehemently questioned by many practitioners.
Specifically, these risk estimates for paediatric CT, as well as subsequent estimates for other medical exposures2, were derived using risk projection models based on data from studies of Japanese atomic bomb survivors.3, 4 Clearly there are many differences between a CT scan and an atomic bomb exposure, even though about 28,000 atomic bomb survivors (a couple of miles from the epicenter) did indeed get radiation exposures comparable to those from a few CT scans. For one thing CT scans are typically focused on a particular part of the body, whereas atomic bomb exposures were to the whole body. These differences are taken into account, insofar as possible, in the models used to estimate CT scan risks, but were the predictions correct that there is a small but real cancer risk associated with CT scans?
Many medical practitioners suggested that the evidence for a small but real cancer risk associated with CT scanning was simply speculation. For example a position paper5 from the American Association of Physicists in Medicine states that “Risks of medical imaging at effective doses below 50 mSv for single procedures or 100 mSv for multiple procedures over short time periods are too low to be detectable and may be nonexistent.” Others suggested that the risk estimates were based on the best available science at the time. Indeed, no epidemiologic study has been previously published that convincingly demonstrates increased cancers associated with low-dose radiation from medical imaging during childhood or adulthood. Into this tangle enter the study in The Lancet by Pearce et al.6
The authors investigated a cohort of 178,604 children without cancer who underwent x-ray CT between 1985 and 2002 in a wide range of hospitals across the United Kingdom. They used state-of-the-art dosimetric methodology to estimate radiation doses to individual organs of these children, and identified subsequent cancers via linkage to the National Health Service Central Registry. To avoid confounding the data with CT scans performed for cancer diagnosis, they excluded leukaemias occurring within 2 years of the scan and brain tumours occurring within 5 years, lag periods during which it is not thought that radiation-related cancers occur.
In the present publication6, the initial analysis of this cohort, analysis is limited to leukaemia and brain cancer risks, with a typical follow-up of about 10 years after exposure and maximum follow-up time of 23 years. Over this follow-up period, statistically significant increases in leukaemia incidence were found in the children with cumulative bone marrow doses from CT of at least 30 milliGray (here equivalent to 30 milliSieverts), while significant increases in brain tumour incidence were found in children with brain doses of at least 50 milliGray (i.e., milliSieverts). Using current typical doses, the authors thus found that 2–3 head CTs could triple childrens’ risk of brain cancer and that 5–10 head CTs could triple the risk of leukaemia. The risk of leukaemia was significantly positively associated with the radiation dose to the bone marrow, and the risk of brain tumour was similarly associated with dose to the brain. The findings of Pearce et al suggest a higher but statistically-compatible radiation-attributable brain cancer risk per unit than does the atomic bomb survivor data, and a similar leukaemia risk.
In addition to the UK cohort, at least a dozen other groups are studying or are planning to study national cohorts of children (Table). Large Australian and Canadian cohorts are expected to report findings in the next year or two, while the EPIdemiological Study to Quantify Risks for Paediatric Computerized Tomography and to Optimise Doses (EPI-CT) is expected to report a pooled analysis of data from 9 European cohorts in 2016. Future analyses of UK children are expected to identify cancer risks from other solid tumours and be based on longer follow-up and an expanded cohort. Together, these studies will provide us with a more robust evidence base informing our understanding of radiation-induced malignancy at low doses.
What implications does this study have for clinical practice and policy? The Pearce paper5 should reduce the number of debates about whether CT risks are “real”, but in fact the field has anyway changed remarkably in the last decade, even while the risk debates raged on. New CT scanners all now have dose-reduction options, and there is far more awareness among most practitioners about the need to both justify and optimise CT doses – an awareness which will surely be bolstered by the Pearce et al study.6
Justification of any CT scan prescription is important, because there is good evidence that 20–50% of CT examinations could either be not done at all, or could be replaced with some other type of imaging.7 On a patient level, justification should take account of all available information, including details of the proposed procedure and alternative management strategies, patient characteristics, the expected radiation dose and its associated degree of risk, information on previous or expected procedures, and patient preferences.8 A shared responsibility between referring and performing healthcare providers8, justification is facilitated by the “3 As” of awareness, appropriateness, and audit—awareness by knowledgeable providers who assist the patient in balancing the immediate benefits of medical radiation with its downstream radiation risk, use of appropriateness guidelines to ensure that those referred for radiological examinations need them, and post hoc audit of imaging use against agreed-upon standards of good practice.7
Optimisation incorporates keeping radiation exposure as low as reasonably achievable (ALARA) for any and every study. A variety of modality- and procedure-specific techniques are available, though they are not always utilized. In paediatric CT, for example, these include “child sizing” scan parameters such as the x-ray tube current and voltage, personalizing protocols on the basis of referral indication, limiting the area scanned, and scanning only once.9 However the wide range of dose indices reported for the same CT procedures10 underscore the extensive efforts still needed to ensure that radiation exposure is optimized for every patient.
In summary, a decade after the suggestion1 that CT scans might produce a small cancer risk, Pearce et al6 have shown that this is almost certainly the case. CT usage continues to rise, generally with good clinical reasons, so we must redouble our efforts to justify and optimize every CT scan.
Table 1.
Country | Exposed Cohort Size | Exposed Age Range | Start Accrual | Estimated Report |
---|---|---|---|---|
Belgium | 30,000 | 0–15 | 2002 | 2016 |
Denmark | 30,000 | 0–18 | 2000 | 2016 |
France | 90,000 | 0–5 | 2000 | 2016 |
Germany | 140,000 | 0–15 | 1985 | 2016 |
Netherlands | 40,000 | 0–18 | 1998 | 2016 |
Norway | 20,000 | 0–20 | 2005 | 2016 |
Spain | 200,000 | 0–20 | 2005 | 2016 |
Sweden | 95,000 | 0–18 | 1984 | 2016 |
UK | 400,000 | 0–21 | 1985 | 2012 |
EPI-CT (Pooled European) | 1,045,000 | 0–21 | 1984–2002 | 2016 |
Australia | 660,000 | 0–19 | 1985 | 2012–3 |
Canada (Ontario) | 370,000 | 0–17 | 1985 | 2013 |
Canada (Ontario) | 4,105,000 | 18+ | 1991 | 2013 |
Israel | 42,000 | 0–22 | 1985 | 2013 |
Israel | 18,000 | 0–22 | 1999 | 2013 |
European studies adapted from http://epi-ct.iarc.fr/index.php
Additional data kindly provided by Drs. Gabriel Chodick, Ausrele Kesminiene, Vicki Kirsh, John Mathews, and Isabelle Thierry-Chef.
Acknowledgments
Supported by US National Heart, Lung, and Blood Institute R01 HL109711, a Victoria and Esther Aboodi Assistant Professorship, and the Louis V. Gerstner, Jr. Scholars Program. AJE has received previous research support from GE Healthcare and Spectrum Dynamics, and has been a consultant for Kyowa Hakko Kirin Pharma.
References
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