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Granata C, Sofia C, Francavilla M, Kardos M, Kasznia-Brown J, Nievelstein RA, Olteanu BS, Owens C, Salerno S, Sorantin E, Apine I. Let's talk about radiation dose and radiation protection in children. Pediatr Radiol 2025; 55:386-396. [PMID: 39095613 DOI: 10.1007/s00247-024-06009-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024]
Abstract
Children are more sensitive to ionizing radiation than adults. Even though the risk is very low, exposure from radiological examinations can possibly cause them long-term side effects. Recent large epidemiological studies involving children and young adults have added evidence suggesting that even small doses of radiation, such as those from computed tomography scans, might slightly increase the risk of developing cancer later in life. Therefore, even though radiologic studies are essential for an accurate diagnosis and management of various conditions, it is crucial to minimize radiation exposure. This article addresses radiation protection for children in the medical use of ionizing radiation and it is set in the context of the European legislative framework regarding radiation protection. It advocates for a holistic approach to paediatric radiological tests. This approach includes the key principles of radiation protection, such as the justification of imaging procedures supported by referral guidelines, as well as the optimization of techniques (according to the ALARA principle) and effective communication with parents about the benefits and the risks of radiologic procedures. Protecting children from unnecessary radiation is not only a technical challenge, but also a moral obligation and a legal requirement.
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Affiliation(s)
- Claudio Granata
- Department of Radiology, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Via Dell'Istria, 65, 34137, Trieste, TS, Italy.
| | - Carmelo Sofia
- Department of Biomedical Sciences and Morphologic and Functional Imaging, University of Messina, Policlinico "G. Martino", Messina, Italy
| | | | - Marek Kardos
- Department of Functional Diagnostics, Children's Cardiac Center, Bratislava, Slovakia
| | - Joanna Kasznia-Brown
- Department of Radiology, Musgrove Park Hospital, University of Bristol, Bristol, UK
| | - Rutger Aj Nievelstein
- Department of Radiology & Nuclear Medicine, University Medical Center Utrecht & Princess Máxima Center for Paediatric Oncology, Utrecht, Netherlands
| | - Bogdan Stefan Olteanu
- Department of Radiology, Emergency Hospital for Children "Grigore Alexandrescu", Bucharest, Romania
| | | | - Sergio Salerno
- UOC di Radiologia Pediatrica, ARNAS Civico, Palermo, Italy
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | | | - Ilze Apine
- Department of Radiology, Riga Stradin's University, Riga, Latvia
- Department of Radiology, Children Clinical University Hospital, Riga, Latvia
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Chu PW, Stewart C, Kofler C, Mahendra M, Wang Y, Chu CA, Lee C, Bolch WE, Smith-Bindman R. Representative Organ Doses from Computed Tomography (CT) Exams from a Large International Registry. Radiat Res 2025; 203:1-9. [PMID: 39689286 PMCID: PMC11801243 DOI: 10.1667/rade-24-00178.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 12/11/2024] [Indexed: 12/19/2024]
Abstract
Estimation of absorbed organ doses used in computed tomography (CT) using time-intensive Monte Carlo simulations with virtual patient anatomic models is not widely reported in the literature. Using the library of computational phantoms developed by the University of Florida and the National Cancer Institute, we performed Monte Carlo simulations to calculate organ dose values for 9 CT categories representing the most common body regions and indications for imaging (reflecting low, routine, and high radiation dose examinations), stratified by patient age (in children) and effective diameter (in adults, using "diameter" as a measure of patient size). Our sample of 559,202 adult and 103,423 pediatric CT examinations was prospectively assembled between 2015-2020 from 156 imaging facilities from 27 healthcare organizations in 20 U.S. states and 7 countries in the University of California San Francisco International CT Dose Registry. Organ doses varied by body region and exam type. For example, the mean brain dose associated with head CT was 20 mGy [standard deviation (SD) 14] for head low dose, 46 mGy (SD 21) for head routine dose, and 64 mGy (SD 31) for head high dose scan protocols. The mean colon doses associated with abdomen and pelvis CT were 19 mGy (SD 12), 32 mGy (SD 28), and 69 mGy (SD 42) for low, routine, and high dose examinations, respectively. Organ doses in general varied modestly by patient diameter, and for many categories the organ doses among the largest quartile of patients were no more than 10% higher than doses in the smallest quartile. For example, for abdomen and pelvis high dose, the colon dose increased from 67 to 74 mGy from the smallest to the largest patients (10% increase). With few exceptions, pediatric organ doses also varied relatively little by patient age, except for the youngest children who, on average, had higher organ doses. Thyroid dose, however, tended to increase with age in neck or cervical spine and chest CT. Overall, the highest organ doses were to the skin, thyroid, brain, and eye lens. Mean organ doses differ substantially by site. The organ dose values included in this report are derived from empirical clinical exams and offer useful, representative values. Large inter-site variations demonstrate areas for radiation dose reduction.
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Affiliation(s)
- Philip W. Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Carly Stewart
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Cameron Kofler
- Department of Radiology, The University of Chicago, Chicago, Illinois
| | - Malini Mahendra
- Department of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children’s Hospital, University of California San Francisco, San Francisco, California
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, California
| | - Yifei Wang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Cameron A. Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Wesley E. Bolch
- Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Rebecca Smith-Bindman
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, California
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California
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Lee C, Moroz B, Thome C, Gaudreau K, Emami P, Little MP. Reconstruction of organ doses for patients undergoing computed tomography examinations in Canada 1992-2019. RADIATION PROTECTION DOSIMETRY 2024; 200:379-386. [PMID: 38186237 PMCID: PMC10954068 DOI: 10.1093/rpd/ncad315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 10/31/2023] [Accepted: 11/30/2023] [Indexed: 01/09/2024]
Abstract
We derived the first comprehensive organ dose library for Canadian pediatric and adult patients who underwent computed tomography (CT) scans between 1992 and 2019 to support epidemiological analysis of radiation risk. We calculated organ absorbed doses for Canadian CT patients in two steps. First, we modeled Computed Tomography Dose Index (CTDI) values by patient age, scan body part, and scan year for the scan period between 1992 and 2019 using national survey data conducted in Canada and partially the United Kingdom survey data as surrogates. Second, we converted CTDI values to organ absorbed doses using a library of organ dose conversion coefficients built in an organ dose calculation program, the National Cancer Institute dosimetry system for CT. In result, we created a library of doses delivered to 33 organs and tissues by different patient ages and genders, scan body parts and scan years. In the scan period before 2000, the organs receiving the greatest dose in the head, chest and abdomen-pelvis scans were the active marrow (3.7-15.2 mGy), lungs (54.7-62.8 mGy) and colon (54.9-68.5 mGy), respectively. We observed organ doses reduced by 24% (pediatric head and torso scans, and adult head scans) and 55% (adult torso scans) after 2000. The organ dose library will be used to analyse the risk of radiation exposure from CT scans in the Canadian CT patient cohort.
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Affiliation(s)
- Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, United States
| | - Brian Moroz
- Computing and Software Solutions for Science, LLC, Bethany Beach, DE, 19930, United States
| | - Christopher Thome
- Medical Sciences Division, NOSM University, Sudbury, ON, P3E 2C6, Canada
- School of Natural Sciences, Laurentian University, Sudbury, ON, P3E 2C6, Canada
| | - Katherine Gaudreau
- Medical Sciences Division, NOSM University, Sudbury, ON, P3E 2C6, Canada
| | - Pirouz Emami
- Department of Physics & Astronomy, McMaster University, Hamilton, ON, ON L8S 4L8, Canada
| | - Mark P Little
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, United States
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Smoll NR, Brady Z, Scurrah KJ, Lee C, Berrington de González A, Mathews JD. Computed tomography scan radiation and brain cancer incidence. Neuro Oncol 2023; 25:1368-1376. [PMID: 36638155 PMCID: PMC10326490 DOI: 10.1093/neuonc/noad012] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Computed tomography (CT) scans make substantial contributions to low-dose ionizing radiation exposures, raising concerns about excess cancers caused by diagnostic radiation. METHODS Deidentified medicare records for all Australians aged 0-19 years between 1985-2005 were linked to national death and cancer registrations to 2012. The National Cancer Institute CT program was used to estimate radiation doses to the brain from CT exposures in 1985-2005, Poisson regression was used to model the dependence of brain cancer incidence on brain radiation dose, which lagged by 2 years to minimize reverse causation bias. RESULTS Of 10 524 842 young Australians, 611 544 were CT-exposed before the age of 20 years, with a mean cumulative brain dose of 44 milligrays (mGy) at an average follow-up of 13.5 years after the 2-year lag period. 4472 were diagnosed with brain cancer, of whom only 237 had been CT-exposed. Brain cancer incidence increased with radiation dose to the brain, with an excess relative risk of 0.8 (95% CI 0.57-1.06) per 100 mGy. Approximately 6391 (95% CI 5255, 8155) persons would need to be exposed to cause 1 extra brain cancer. CONCLUSIONS For brain tumors that follow CT exposures in childhood by more than 2 years, we estimate that 40% (95% CI 29%-50%) are attributable to CT Radiation and not due to reverse causation. However, because of relatively low rates of CT exposure in Australia, only 3.7% (95% CI 2.3%-5.4%) of all brain cancers are attributable to CT scans. The population-attributable fraction will be greater in countries with higher rates of pediatric scanning.
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Affiliation(s)
- Nicolas R Smoll
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street Carlton, VIC, 3053, Australia
| | - Zoe Brady
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street Carlton, VIC, 3053, Australia
- Department of Radiology and Nuclear Medicine, Alfred Health, Melbourne, Victoria, Australia
| | - Katrina J Scurrah
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street Carlton, VIC, 3053, Australia
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Amy Berrington de González
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - John D Mathews
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street Carlton, VIC, 3053, Australia
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McBain-Miller J, Scurrah KJ, Brady Z, Mathews JD. Cohort profile: The Australian Paediatric Exposure to Radiation Cohort (Aust-PERC). PLoS One 2022; 17:e0271918. [PMID: 36083886 PMCID: PMC9462670 DOI: 10.1371/journal.pone.0271918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 07/08/2022] [Indexed: 11/25/2022] Open
Abstract
Although the carcinogenic effects of high-dose radiation are well-established, the risks at low doses, such as from diagnostic X-rays, are less well understood. Children are susceptible to radiation induced cancers, and in the last decade, several cohort studies have reported increased cancer risks following computed tomography (CT) scans in childhood. However, cohort studies can be limited by insufficient follow-up, indication bias, reverse causation, or by lack of organ doses from CT scans or other exposures. Aust-PERC is a retrospective cohort designed to study the effects of low-dose medical radiation exposure, primarily from CT scans, in young Australians. The cohort was ascertained using deidentified billing records from patients who were aged 0–19 years while enrolled in Medicare (Australia’s universal healthcare system) between 1985 and 2005. All procedures billed to Medicare in this age/time window that involved low-dose radiation were identified, and persons without such procedures were flagged as unexposed. The Aust-PERC cohort has been linked, using confidential personal identifiers, to the Australian Cancer Database and the National Death Index, on two occasions (to Dec. 2007 and Dec. 2012) by the responsible government agency (Australian Institute of Health and Welfare). Deidentified Medicare service records of all radiological procedures including CT scans, nuclear medicine (NM) scans and fluoroscopy and plain X-ray procedures have been available to derive estimated radiation doses in the cohort. Records of other medical and surgical procedures, together with demographic and socioeconomic variables are being used in analyses to assess biases arising from reverse causation and confounding. After excluding patients with errant records, 11 802 846 persons remained in the baseline cohort, with an average follow-up time of 22.3 years to December 2012. There were 275 489 patients exposed to diagnostic nuclear medicine scans and 688 363 patients exposed to CT scans before age 20 and before cancer diagnosis. Between 1 January 1985 and 31 December 2012, there were 105 124 deaths and 103 505 incident cancers. Dose-response analyses based on the relevant organ doses are underway for individual cancers, and we plan to extend the follow-up for another 8 years to Dec 2020. Analyses using this very large Aust-PERC cohort, with extended follow-up, will help to resolve international uncertainties about the causal role of diagnostic medical radiation as a cause of cancer.
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Affiliation(s)
- Jasmine McBain-Miller
- Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
- * E-mail:
| | - Katrina J. Scurrah
- Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
| | - Zoe Brady
- Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
- Department of Radiology and Nuclear Medicine, Alfred Health, Melbourne, Victoria, Australia
| | - John D. Mathews
- Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
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Berrington de Gonzalez A, Pasqual E, Veiga L. Epidemiological studies of CT scans and cancer risk: the state of the science. Br J Radiol 2021; 94:20210471. [PMID: 34545766 DOI: 10.1259/bjr.20210471] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
20 years ago, 3 manuscripts describing doses and potential cancer risks from CT scans in children raised awareness of a growing public health problem. We reviewed the epidemiological studies that were initiated in response to these concerns that assessed cancer risks from CT scans using medical record linkage. We evaluated the study methodology and findings and provide recommendations for optimal study design for new efforts. We identified 17 eligible studies; 13 with published risk estimates, and 4 in progress. There was wide variability in the study methodology, however, which made comparison of findings challenging. Key differences included whether the study focused on childhood or adulthood exposure, radiosensitive outcomes (e.g. leukemia, brain tumors) or all cancers, the exposure metrics (e.g. organ doses, effective dose or number of CTs) and control for biases (e.g. latency and exclusion periods and confounding by indication). We were able to compare results for the subset of studies that evaluated leukemia or brain tumors. There were eight studies of leukemia risk in relation to red bone marrow (RBM) dose, effective dose or number of CTs; seven reported a positive dose-response, which was statistically significant (p < 0.05) in four studies. Six of the seven studies of brain tumors also found a positive dose-response and in five, this was statistically significant. Mean RBM dose ranged from 6 to 12 mGy and mean brain dose from 18 to 43 mGy. In a meta-analysis of the studies of childhood exposure the summary ERR/100 mGy was 1.78 (95%CI: 0.01-3.53) for leukemia/myelodisplastic syndrome (n = 5 studies) and 0.80 (95%CI: 0.48-1.12) for brain tumors (n = 4 studies) (p-heterogeneity >0.4). Confounding by cancer pre-disposing conditions was unlikely in these five studies of leukemia. The summary risk estimate for brain tumors could be over estimated, however, due to reverse causation. In conclusion, there is growing evidence from epidemiological data that CT scans can cause cancer. The absolute risks to individual patients are, however, likely to be small. Ongoing large multicenter cohorts and future pooling efforts will provide more precise risk quantification.
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Affiliation(s)
- Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Elisa Pasqual
- Radiation Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lene Veiga
- Radiation Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
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