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Waxer JF, Wong K, Modiri A, Charpentier AM, Moiseenko V, Ronckers CM, Taddei PJ, Constine LS, Sprow G, Tamrazi B, MacDonald S, Olch AJ. Risk of Cerebrovascular Events Among Childhood and Adolescent Patients Receiving Cranial Radiation Therapy: A PENTEC Normal Tissue Outcomes Comprehensive Review. Int J Radiat Oncol Biol Phys 2024; 119:417-430. [PMID: 36057476 PMCID: PMC12123681 DOI: 10.1016/j.ijrobp.2022.06.079] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/19/2022] [Accepted: 06/21/2022] [Indexed: 10/14/2022]
Abstract
PURPOSE Radiation-induced cerebrovascular toxicity is a well-documented sequelae that can be both life-altering and potentially fatal. We performed a meta-analysis of the relevant literature to create practical models for predicting the risk of cerebral vasculopathy after cranial irradiation. METHODS AND MATERIALS A literature search was performed for studies reporting pediatric radiation therapy (RT) associated cerebral vasculopathy. When available, we used individual patient RT doses delivered to the Circle of Willis (CW) or optic chiasm (as a surrogate), as reported or digitized from original publications, to formulate a dose-response. A logistic fit and a Normal Tissue Complication Probability (NTCP) model was developed to predict future risk of cerebrovascular toxicity and stroke, respectively. This NTCP risk was assessed as a function of prescribed dose. RESULTS The search identified 766 abstracts, 5 of which were used for modeling. We identified 101 of 3989 pediatric patients who experienced at least one cerebrovascular toxicity: transient ischemic attack, stroke, moyamoya, or arteriopathy. For a range of shorter follow-ups, as specified in the original publications (approximate attained ages of 17 years), our logistic fit model predicted the incidence of any cerebrovascular toxicity as a function of dose to the CW, or surrogate structure: 0.2% at 30 Gy, 1.3% at 45 Gy, and 4.4% at 54 Gy. At an attained age of 35 years, our NTCP model predicted a stroke incidence of 0.9% to 1.3%, 1.8% to 2.7%, and 2.8% to 4.1%, respectively at prescribed doses of 30 Gy, 45 Gy, and 54 Gy (compared with a baseline risk of 0.2%-0.3%). At an attained age of 45 years, the predicted incidence of stroke was 2.1% to 4.2%, 4.5% to 8.6%, and 6.7% to 13.0%, respectively at prescribed doses of 30 Gy, 45 Gy, and 54 Gy (compared with a baseline risk of 0.5%-1.0%). CONCLUSIONS Risk of cerebrovascular toxicity continues to increase with longer follow-up. NTCP stroke predictions are very sensitive to model variables (baseline stroke risk and proportional stroke hazard), both of which found in the literature may be systematically erring on minimization of true risk. We hope this information will assist practitioners in counseling, screening, surveilling, and facilitating risk reduction of RT-related cerebrovascular late effects in this highly sensitive population.
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Affiliation(s)
- Jonathan F Waxer
- Department of Radiation Oncology, Southern California Permanente Medical Group, Los Angeles, California
| | - Kenneth Wong
- Radiation Oncology Program, Children's Hospital Los Angeles/Keck School of Medicine of the University of Southern California, Los Angeles, California.
| | - Arezoo Modiri
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Anne-Marie Charpentier
- Department of Radiation Oncology, Center Hospitalier de l'Universite de Montreal, Montreal, QC, Canada
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Science, University of California San Diego, La Jolla, California
| | - Cécile M Ronckers
- Department of Pediatric Oncology, Princess Maxima Center for Pediatric Oncology, Utretcht, Netherlands
| | - Phillip J Taddei
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington
| | - Louis S Constine
- Department of Radiation Oncology and Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Grant Sprow
- Albert Einstein College of Medicine, Bronx, New York
| | - Benita Tamrazi
- Department of Radiology, Children's Hospital Los Angeles/Keck School of Medicine of the University of Southern California, Los Angeles, California
| | - Shannon MacDonald
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Arthur J Olch
- Radiation Oncology Program, Children's Hospital Los Angeles/Keck School of Medicine of the University of Southern California, Los Angeles, California
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2
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Caramenti L, Gradowska PL, Moriña D, Byrnes G, Cardis E, Hauptmann M. Finite-Sample Bias of the Linear Excess Relative Risk in Cohort Studies of Computed Tomography-Related Radiation Exposure and Cancer. Radiat Res 2024; 201:206-214. [PMID: 38323646 DOI: 10.1667/rade-23-00187.1] [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: 09/23/2023] [Accepted: 01/22/2024] [Indexed: 02/08/2024]
Abstract
The linear excess relative risk (ERR) is the most commonly reported measure of association in radiation epidemiological studies, when individual dose estimates are available. While the asymptotic properties of the ERR estimator are well understood, there is evidence of small sample bias in case-control studies of treatment-related radiation exposure and second cancer risk. Cohort studies of cancer risk after exposure to low doses of radiation from diagnostic procedures, e.g., computed tomography (CT) examinations, typically have small numbers of cases and risks are small. Therefore, understanding the properties of the estimated ERR is essential for interpretation and analysis of such studies. We present results of a simulation study that evaluates the finite-sample bias of the ERR estimated by time-to-event analyses and its confidence interval using simulated data, resembling a retrospective cohort study of radiation-related leukemia risk after CT examinations in childhood and adolescence. Furthermore, we evaluate how the Firth-corrected estimator reduces the finite-sample bias of the classical estimator. We show that the ERR is overestimated by about 30% for a cohort of about 150,000 individuals, with 42 leukemia cases observed on average. The bias is reduced for higher baseline incidence rates and for higher values of the true ERR. As the number of cases increases, the ERR is approximately unbiased. The Firth correction reduces the bias for all cohort sizes to generally around or under 5%. Epidemiological studies showing an association between radiation exposure from pediatric CT and cancer risk, unless very large, may overestimate the magnitude of the relationship, while there is no evidence of an increased chance for false-positive results. Conducting large studies, perhaps by pooling individual studies to increase the number of cases, should be a priority. If this is not possible, Firth correction should be applied to reduce small-sample bias.
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Affiliation(s)
- L Caramenti
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane; Neuruppin, Germany
| | - P L Gradowska
- Erasmus MC Cancer Institute; Rotterdam, The Netherlands
| | - D Moriña
- Department of Econometrics, Statistics and Applied Economics, Riskcenter-IREA, Universitat de Barcelona (UB); Barcelona, Spain
| | - G Byrnes
- International Agency for Research in Cancer (IARC); Lyon, France
| | - E Cardis
- Institute for Global Health, ISGlobal; Barcelona, Spain
- Universitat Pompeu Fabra (UPF); Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP); Madrid, Spain
| | - M Hauptmann
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane; Neuruppin, Germany
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3
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Bosch de Basea M, Thierry-Chef I, Harbron R, Hauptmann M, Byrnes G, Bernier MO, Le Cornet L, Dabin J, Ferro G, Istad TS, Jahnen A, Lee C, Maccia C, Malchair F, Olerud H, Simon SL, Figuerola J, Peiro A, Engels H, Johansen C, Blettner M, Kaijser M, Kjaerheim K, Berrington de Gonzalez A, Journy N, Meulepas JM, Moissonnier M, Nordenskjold A, Pokora R, Ronckers C, Schüz J, Kesminiene A, Cardis E. Risk of hematological malignancies from CT radiation exposure in children, adolescents and young adults. Nat Med 2023; 29:3111-3119. [PMID: 37946058 PMCID: PMC10719096 DOI: 10.1038/s41591-023-02620-0] [Citation(s) in RCA: 103] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 09/29/2023] [Indexed: 11/12/2023]
Abstract
Over one million European children undergo computed tomography (CT) scans annually. Although moderate- to high-dose ionizing radiation exposure is an established risk factor for hematological malignancies, risks at CT examination dose levels remain uncertain. Here we followed up a multinational cohort (EPI-CT) of 948,174 individuals who underwent CT examinations before age 22 years in nine European countries. Radiation doses to the active bone marrow were estimated on the basis of body part scanned, patient characteristics, time period and inferred CT technical parameters. We found an association between cumulative dose and risk of all hematological malignancies, with an excess relative risk of 1.96 (95% confidence interval 1.10 to 3.12) per 100 mGy (790 cases). Similar estimates were obtained for lymphoid and myeloid malignancies. Results suggest that for every 10,000 children examined today (mean dose 8 mGy), 1-2 persons are expected to develop a hematological malignancy attributable to radiation exposure in the subsequent 12 years. Our results strengthen the body of evidence of increased cancer risk at low radiation doses and highlight the need for continued justification of pediatric CT examinations and optimization of doses.
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Affiliation(s)
- Magda Bosch de Basea
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Isabelle Thierry-Chef
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Richard Harbron
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Michael Hauptmann
- Institute of Biostatistics and Registry Research, Brandenburg Medical School, Neuruppin, Germany
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Maria-Odile Bernier
- Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Lucian Le Cornet
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany
- German Cancer Research Center, Heidelberg, Germany
| | - Jérémie Dabin
- Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Gilles Ferro
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Tore S Istad
- Norwegian Radiation and Nuclear Safety Authority, Oslo, Norway
| | - Andreas Jahnen
- Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Carlo Maccia
- Centre d'Assurance de qualité des Applications Technologiques dans le domaine de la Santé (CAATS), Sèvres, France
| | - Françoise Malchair
- Centre d'Assurance de qualité des Applications Technologiques dans le domaine de la Santé (CAATS), Sèvres, France
| | - Hilde Olerud
- Norwegian Radiation and Nuclear Safety Authority, Oslo, Norway
- Norwegian Radiation Protection Authority, Østerås, Norway
- University of South-Eastern Norway, Kongsberg, Norway
| | - Steven L Simon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jordi Figuerola
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Peiro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Hilde Engels
- Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Christoffer Johansen
- Cancer Late Effect Research Oncology Clinic (CASTLE), Center for Surgery and Cancer, Rigshospitalet, Copenhagen, Denmark
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Magnus Kaijser
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | | | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Institute of Cancer Research, London, UK
| | - Neige Journy
- Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
- French National Institute of Health and Medical Research (INSERM) Unit 1018, Centre for Research in Epidemiology and Population Health, Paris Saclay University, Gustave Roussy, Villejuif, France
| | | | - Monika Moissonnier
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Arvid Nordenskjold
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Roman Pokora
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Cecile Ronckers
- Institute of Biostatistics and Registry Research, Brandenburg Medical School, Neuruppin, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Joachim Schüz
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Ausrele Kesminiene
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Elisabeth Cardis
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
- Pompeu Fabra University, Barcelona, Spain.
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
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4
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Marlow EC, Ducore JM, Kwan ML, Bowles EJA, Greenlee RT, Pole JD, Rahm AK, Stout NK, Weinmann S, Smith-Bindman R, Miglioretti DL. Medical imaging utilization and associated radiation exposure in children with down syndrome. PLoS One 2023; 18:e0289957. [PMID: 37672503 PMCID: PMC10482278 DOI: 10.1371/journal.pone.0289957] [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: 11/14/2022] [Accepted: 07/28/2023] [Indexed: 09/08/2023] Open
Abstract
OBJECTIVE To evaluate the frequency of medical imaging or estimated associated radiation exposure in children with Down syndrome. METHODS This retrospective cohort study included 4,348,226 children enrolled in six U.S. integrated healthcare systems from 1996-2016, 3,095 of whom were diagnosed with Down syndrome. We calculated imaging rates per 100 person years and associated red bone marrow dose (mGy). Relative rates (RR) of imaging in children with versus without Down syndrome were estimated using overdispersed Poisson regression. RESULTS Compared to other children, children with Down syndrome received imaging using ionizing radiation at 9.5 times (95% confidence interval[CI] = 8.2-10.9) the rate when age <1 year and 2.3 times (95% CI = 2.0-2.5) between ages 1-18 years. Imaging rates by modality in children <1 year with Down syndrome compared with other children were: computed tomography (6.6 vs. 2.0, RR = 3.1[95%CI = 1.8-5.1]), fluoroscopy (37.1 vs. 3.1, RR 11.9[95%CI 9.5-14.8]), angiography (7.6 vs. 0.2, RR = 35.8[95%CI = 20.6-62.2]), nuclear medicine (6.0 vs. 0.6, RR = 8.2[95% CI = 5.3-12.7]), radiography (419.7 vs. 36.9, RR = 11.3[95%CI = 10.0-12.9], magnetic resonance imaging(7.3 vs. 1.5, RR = 4.2[95% CI = 3.1-5.8]), and ultrasound (231.2 vs. 16.4, RR = 12.6[95% CI = 9.9-15.9]). Mean cumulative red bone marrow dose from imaging over a mean of 4.2 years was 2-fold higher in children with Down syndrome compared with other children (4.7 vs. 1.9mGy). CONCLUSIONS Children with Down syndrome experienced more medical imaging and higher radiation exposure than other children, especially at young ages when they are more vulnerable to radiation. Clinicians should consider incorporating strategic management decisions when imaging this high-risk population.
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Affiliation(s)
- Emily C. Marlow
- Department of Surveillance & Health Equity Science, American Cancer Society, Kennesaw, Georgia, United States of America
| | - Jonathan M. Ducore
- Department of Pediatrics, University of California, Davis, California, United States of America
| | - Marilyn L. Kwan
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Erin J. A. Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America
| | - Robert T. Greenlee
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin, United States of America
| | - Jason D. Pole
- Centre for Health Service Research, University of Queensland, Brisbane, Australia
- Dalla Lana School of Public Health University of Toronto, Toronto, Canada
- ICES Toronto, Ontario, Canada
| | - Alanna K. Rahm
- Department of Genomic Health, Geisinger, Danville, PA, United States of America
| | - Natasha K. Stout
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Sheila Weinmann
- Kaiser Permanente Center for Health Research, Portland, Oregon, United States of America
- Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu, Hawaii, United States of America
| | - Rebecca Smith-Bindman
- Department of Biostatistics and Epidemiology, University of California, San Francisco, California, United States of America
- Department of Obstetrics, Gynecology, and Reproductive Medicine, University of California, San Francisco, California, United States of America
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, California, United States of America
| | - Diana L. Miglioretti
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America
- Department of Public Health Sciences, University of California, Davis, California, United States of America
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5
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Abalo KD, Malekzadeh-Milani S, Hascoët S, Dreuil S, Feuillet T, Damon C, Bouvaist H, Bouzguenda I, Cohen S, Dauphin C, Di Filippo S, Douchin S, Godart F, Guérin P, Helms P, Karsenty C, Lefort B, Mauran P, Ovaert C, Piéchaud JF, Thambo JB, Lee C, Little MP, Bonnet D, Bernier MO, Rage E. Lympho-hematopoietic malignancies risk after exposure to low dose ionizing radiation during cardiac catheterization in childhood. Eur J Epidemiol 2023; 38:821-834. [PMID: 37191831 PMCID: PMC11281830 DOI: 10.1007/s10654-023-01010-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/16/2023] [Indexed: 05/17/2023]
Abstract
Pediatric patients with congenital heart disease (CHD) often undergo low dose ionizing radiation (LDIR) from cardiac catheterization (CC) for the diagnosis and/or treatment of their disease. Although radiation doses from a single CC are usually low, less is known about the long-term radiation associated cancer risks. We aimed to assess the risk of lympho-hematopoietic malignancies in pediatric CHD patients diagnosed or treated with CC. A French cohort of 17,104 children free of cancer who had undergone a first CC from 01/01/2000 to 31/12/2013, before the age of 16 was set up. The follow-up started at the date of the first recorded CC until the exit date, i.e., the date of death, the date of first cancer diagnosis, the date of the 18th birthday, or the 31/12/2015, whichever occurred first. Poisson regression was used to estimate the LDIR associated cancer risk. The median follow-up was 5.9 years, with 110,335 person-years. There were 22,227 CC procedures, yielding an individual active bone marrow (ABM) mean cumulative dose of 3.0 milligray (mGy). Thirty-eight incident lympho-hematopoietic malignancies were observed. When adjusting for attained age, gender and predisposing factors to cancer status, no increased risk was observed for lympho-hematopoietic malignancies RR/mGy = 1.00 (95% CI: 0.88; 1.10). In summary, the risk of lympho-hematopoietic malignancies and lymphoma was not associated to LDIR in pediatric patients with CHD who undergo CC. Further epidemiological studies with greater statistical power are needed to improve the assessment of the dose-risk relationship.
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Affiliation(s)
- Kossi D Abalo
- Institute for Radiological Protection and Nuclear Safety (IRSN), PSE-SANTE/SESANE/Laboratory of Epidemiology, BP 17, Fontenay-aux-Roses, 92262, France
| | - Sophie Malekzadeh-Milani
- M3C-Necker, Hôpital universitaire Necker-Enfants malades, Université de Paris Cité, Paris, France
| | - Sébastien Hascoët
- Cardiology department, Hôpital Marie Lannelongue, Le Plessis Robinson, France
| | - Serge Dreuil
- Institute for Radiological Protection and Nuclear Safety, (IRSN), PSE-SANTE/SER/UEM, BP 17, Fontenay-aux-Roses, 92262, France
| | | | - Cecilia Damon
- Institute for Radiological Protection and Nuclear Safety, (IRSN), DTR/D3NSI/SVDDA/CVD, BP 17, Fontenay-aux-Roses, 92262, France
| | - Hélène Bouvaist
- Cardiopédiatrie, hôpital couple enfant, CHU Grenoble Alpes, Grenoble cedex 9, 38043, France
| | - Ivan Bouzguenda
- Pediatric and congenital cardiology, Interventional cardiology, INTERCARD Clinique La Louvière, Lille, France
| | - Sarah Cohen
- Cardiology department, Hôpital Marie Lannelongue, Le Plessis Robinson, France
| | - Claire Dauphin
- Cardiology Department, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Sylvie Di Filippo
- Paediatric and Congential Cardiology Department, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Stéphanie Douchin
- Cardiopédiatrie, hôpital couple enfant, CHU Grenoble Alpes, Grenoble cedex 9, 38043, France
| | - François Godart
- Service de Cardiologie Infantile et Congénitale, Institut Coeur Poumon, Lille Cedex, 59037, France
| | - Patrice Guérin
- CHU Nantes, INSERM, Nantes Université, Clinique Cardiologique et des Maladies Vasculaires, Institut du Thorax, Nantes, 1413, CIC, France
| | - Pauline Helms
- Unit of Cardiopediatrics, University Hospital of Strasbourg, Strasbourg, France
| | - Clément Karsenty
- Pediatric and Congenital Cardiology, Institut des Maladies Métaboliques et Cardiovasculaires, Children's Hospital, INSERM U1048, Université de Toulouse, Toulouse, I2MC, France
| | - Bruno Lefort
- Institut des Cardiopathies Congénitales, CHRU Tours, 49 boulevard Béranger, Tours, 37000, France
| | - Pierre Mauran
- Unité de cardiologie pédiatrique et congénitale, American Memorial Hospital, CHU de Reims, 47 rue Cognacq-Jay, Reims Cedex, 51092, France
| | - Caroline Ovaert
- Cardiologie pédiatrique et congénitale, AP-HM et INSERM 1251, Aix-Marseille Université, Timone enfants, Marseille, France
| | | | - Jean-Benoît Thambo
- Department of Pediatric and Adult Congenital Cardiology, Bordeaux University Hospital (CHU), Pessac, 33600, France
| | - Choonsik Lee
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Damien Bonnet
- M3C-Necker, Hôpital universitaire Necker-Enfants malades, Université de Paris Cité, Paris, France
| | - Marie-Odile Bernier
- Institute for Radiological Protection and Nuclear Safety (IRSN), PSE-SANTE/SESANE/Laboratory of Epidemiology, BP 17, Fontenay-aux-Roses, 92262, France
| | - Estelle Rage
- Institute for Radiological Protection and Nuclear Safety (IRSN), PSE-SANTE/SESANE/Laboratory of Epidemiology, BP 17, Fontenay-aux-Roses, 92262, France.
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6
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Yoshitake T, Miyazaki O, Kitamura M, Ono K, Kai M. Quantitative Analysis of the Clinical Reasons Influencing the Frequency of Pediatric Head CT Examinations: A Single-Center Observation Study. Tomography 2023; 9:829-839. [PMID: 37104138 PMCID: PMC10144250 DOI: 10.3390/tomography9020067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/23/2023] [Accepted: 04/04/2023] [Indexed: 04/28/2023] Open
Abstract
Epidemiological studies on radiation exposure from pediatric CT scans have attracted attention in terms of radiological protection. These studies have not taken into account the reasons why CT examinations were performed. It is presumed that there are clinical reasons that justify more frequent CT examinations in children. The purpose of this study was to characterize the clinical reasons why relatively high numbers of head CT examinations (NHCT) are frequently performed and to conduct a statistical analysis to determine the factors governing the NHCT. Patient information, the date of examination, and medical conditions for examination data stored on the radiology information system were used to investigate the reasons for undergoing CT examinations. The target facility was National Children's Hospital; data were obtained from March 2002 to April 2017, and the age of the study population was less than 16 years old. Quantitative analysis of the factors associated with frequent examinations was conducted by Poisson regression analysis. Among all patients who had a CT scan, 76.6% had head CT examinations, and 43.4% of children were under 1 year old at the time of the initial examination. There were marked differences in the number of examinations depending on the disease. The average NHCT was higher for children younger than 5 days of age. Among children less than 1 year of age with surgery, there was a marked difference between hydrocephalus, with a mean = 15.5 (95% CI 14.3,16.8), and trauma, with a mean = 8.3 (95% CI 7.2,9.4). In conclusion, this study revealed that NHCT was significantly higher in children who had undergone surgery than in those who had not been to the hospital. The clinical reasons behind patients with higher NHCT should be considered in investigating a causal relationship between CT exposure and brain tumors.
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Affiliation(s)
- Takayasu Yoshitake
- Doctoral Course of Health Science, Graduate School of Nursing, Oita University of Nursing and Health Sciences, 2944-9 Megusuno, Oita 870-1201, Japan
| | - Osamu Miyazaki
- National Center for Child Health and Development, 2-10-1 Ohkura, Setagaya-ku, Tokyo 157-8535, Japan
| | - Masayuki Kitamura
- National Center for Child Health and Development, 2-10-1 Ohkura, Setagaya-ku, Tokyo 157-8535, Japan
| | - Koji Ono
- Division of Nursing, Higashigaoka Faculty of Nursing, Tokyo Health University, 2-5-1 Setagaya, Setagaya-ku, Tokyo 152-8558, Japan
| | - Michiaki Kai
- Department of Health Science, School of Health Science, Nippon Bunri University, 1727 Ichiki, Oita 870-0397, Japan
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7
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Hauptmann M, Byrnes G, Cardis E, Bernier MO, Blettner M, Dabin J, Engels H, Istad TS, Johansen C, Kaijser M, Kjaerheim K, Journy N, Meulepas JM, Moissonnier M, Ronckers C, Thierry-Chef I, Le Cornet L, Jahnen A, Pokora R, Bosch de Basea M, Figuerola J, Maccia C, Nordenskjold A, Harbron RW, Lee C, Simon SL, Berrington de Gonzalez A, Schüz J, Kesminiene A. Brain cancer after radiation exposure from CT examinations of children and young adults: results from the EPI-CT cohort study. Lancet Oncol 2023; 24:45-53. [PMID: 36493793 DOI: 10.1016/s1470-2045(22)00655-6] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The European EPI-CT study aims to quantify cancer risks from CT examinations of children and young adults. Here, we assess the risk of brain cancer. METHODS We pooled data from nine European countries for this cohort study. Eligible participants had at least one CT examination before age 22 years documented between 1977 and 2014, had no previous diagnosis of cancer or benign brain tumour, and were alive and cancer-free at least 5 years after the first CT. Participants were identified through the Radiology Information System in 276 hospitals. Participants were linked with national or regional registries of cancer and vital status, and eligible cases were patients with brain cancers according to WHO International Classification of Diseases for Oncology. Gliomas were analysed separately to all brain cancers. Organ doses were reconstructed using historical machine settings and a large sample of CT images. Excess relative risks (ERRs) of brain cancer per 100 mGy of cumulative brain dose were calculated with linear dose-response modelling. The outcome was the first reported diagnosis of brain cancer after an exclusion period of 5 years after the first electronically recorded CT examination. FINDINGS We identified 948 174 individuals, of whom 658 752 (69%) were eligible for our study. 368 721 (56%) of 658 752 participants were male and 290 031 (44%) were female. During a median follow-up of 5·6 years (IQR 2·4-10·1), 165 brain cancers occurred, including 121 (73%) gliomas. Mean cumulative brain dose, lagged by 5 years, was 47·4 mGy (SD 60·9) among all individuals and 76·0 mGy (100·1) among people with brain cancer. A significant linear dose-response relationship was observed for all brain cancers (ERR per 100 mGy 1·27 [95% CI 0·51-2·69]) and for gliomas separately (ERR per 100 mGy 1·11 [0·36-2·59]). Results were robust when the start of follow-up was delayed beyond 5 years and when participants with possibly previously unreported cancers were excluded. INTERPRETATION The observed significant dose-response relationship between CT-related radiation exposure and brain cancer in this large, multicentre study with individual dose evaluation emphasises careful justification of paediatric CTs and use of doses as low as reasonably possible. FUNDING EU FP7; Belgian Cancer Registry; La Ligue contre le Cancer, L'Institut National du Cancer, France; Ministry of Health, Labour and Welfare of Japan; German Federal Ministry of Education and Research; Worldwide Cancer Research; Dutch Cancer Society; Research Council of Norway; Consejo de Seguridad Nuclear, Generalitat de Catalunya, Spain; US National Cancer Institute; UK National Institute for Health Research; Public Health England.
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Affiliation(s)
- Michael Hauptmann
- Institute of Biostatistics and Registry Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Neuruppin, Germany.
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC/WHO), Environmental and Lifestyle Epidemiology Branch, Lyon, France
| | - Elisabeth Cardis
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Marie-Odile Bernier
- Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jérémie Dabin
- Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Hilde Engels
- Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Tore S Istad
- Norwegian Radiation and Nuclear Safety Authority, Oslo, Norway
| | - Christoffer Johansen
- Cancer Late Effect Research Oncology Clinic (CASTLE), Center for Surgery and Cancer, Rigshospitalet, Copenhagen, Denmark
| | - Magnus Kaijser
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | | | - Neige Journy
- Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France; French National Institute of Health and Medical Research (Inserm), U1018, Centre for Research in Epidemiology and Population Health (CESP), Radiation Epidemiology Group, Gustave Roussy, Paris-Saclay, Paris-Sud University, Gustave Roussy, Villejuif, France
| | | | - Monika Moissonnier
- International Agency for Research on Cancer (IARC/WHO), Environmental and Lifestyle Epidemiology Branch, Lyon, France
| | - Cecile Ronckers
- Institute of Biostatistics and Registry Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Neuruppin, Germany
| | - Isabelle Thierry-Chef
- International Agency for Research on Cancer (IARC/WHO), Environmental and Lifestyle Epidemiology Branch, Lyon, France; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Lucian Le Cornet
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; German Cancer Research Center, Heidelberg, Germany
| | - Andreas Jahnen
- Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg
| | - Roman Pokora
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Magda Bosch de Basea
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Figuerola
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Carlo Maccia
- CAATS, Centre d'Assurance de qualité des Applications Technologiques dans le domaine de la Santé, Sèvres, France
| | - Arvid Nordenskjold
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Richard W Harbron
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Steven L Simon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joachim Schüz
- International Agency for Research on Cancer (IARC/WHO), Environmental and Lifestyle Epidemiology Branch, Lyon, France
| | - Ausrele Kesminiene
- International Agency for Research on Cancer (IARC/WHO), Environmental and Lifestyle Epidemiology Branch, Lyon, France
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8
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Childhood cancer risks estimates following CT scans: an update of the French CT cohort study. Eur Radiol 2022; 32:5491-5498. [PMID: 35230516 DOI: 10.1007/s00330-022-08602-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 12/17/2021] [Accepted: 01/28/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Increased risks of central nervous system (CNS) tumors and leukemia associated with computed tomography (CT) exposure during childhood have been reported in recent epidemiological studies. However, no evidence of increased risks was suggested in a previous analysis of the French CT cohort. This study benefits from an updated cohort with a longer follow-up and a larger sample size of patients. METHODS The patients were followed from the date of their first CT (between 2000 and 2011) until their date of cohort exit defined as the earliest among the following: 31 December 2016, date of death, date of first cancer diagnosis or date of their 18th birthday. Cancer incidence, vital status, cancer predisposing factors (PFs), and additional CT scans were collected via external national databases. Hazard ratios (HRs) associated to cumulative organ doses and sex were estimated from Cox models. RESULTS At the end of follow-up, mean cumulative doses were 27.7 and 10.3 mGy for the brain and the red bone marrow (RBM), respectively. In patients without PFs, an HR per 10 mGy of 1.05 (95% CI: 1.01-1.09) for CNS tumors, 1.17 (95% CI: 1.09-1.26) for leukemia, and 0.96 (95% CI: 0.63-1.45) for lymphoma was estimated. These estimates were not modified by the inclusion of CT scans performed outside the participating hospitals or after the inclusion period. CONCLUSIONS This study shows statistically significant dose-response relationships for CNS tumors and leukemia for patients without PFs. KEY POINTS • Computed tomography is the most important contributor to the collective dose for diagnostic imaging to the French population. • Concerns have been raised about possible cancer risks, particularly after exposure to CT in childhood, due to the greater radiation sensitivity of children and to their longer life expectancy. • Analysis of the updated French CT cohort shows statistically significant dose-response relationships for CNS tumors and leukemia.
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9
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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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10
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Wit F, Vroonland CCJJ, Bijwaard H. Prenatal X-ray Exposure and the Risk of Developing Pediatric Cancer-A Systematic Review of Risk Markers and a Comparison of International Guidelines. HEALTH PHYSICS 2021; 121:225-233. [PMID: 34261894 DOI: 10.1097/hp.0000000000001438] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
ABSTRACT Since the first Oxford Survey of Childhood Cancer's results were published, people have become more aware of the risks associated with prenatal exposure from diagnostic x rays. As a result, it has since been the subject of many studies. In this review, the results of recent epidemiological studies are summarized. The current international guidelines for diagnostic x-ray examinations were compared to the review. All epidemiological studies starting from 2007 and all relevant international guidelines were included. Apart from one study that involved rhabdomyosarcoma, no statistically significant associations were found between prenatal exposure to x rays and the development of cancer during 2007-2020. Most of the studies were constrained in their design due to too small a cohort or number of cases, minimal x-ray exposure, and/or data obtained from the exposed mothers instead of medical reports. In one of the studies, computed tomography exposure was also included, and this requires more and longer follow-up in successive studies. Most international guidelines are comparable, provide risk coefficients that are quite conservative, and discourage abdominal examinations of pregnant women.
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11
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Marlow EC, Ducore J, Kwan ML, Cheng SY, Bowles EJA, Greenlee RT, Pole JD, Rahm AK, Stout NK, Weinmann S, Smith-Bindman R, Miglioretti DL. Leukemia Risk in a Cohort of 3.9 Million Children with and without Down Syndrome. J Pediatr 2021; 234:172-180.e3. [PMID: 33684394 PMCID: PMC8238875 DOI: 10.1016/j.jpeds.2021.03.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/18/2021] [Accepted: 03/01/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To assess leukemia risks among children with Down syndrome in a large, contemporary cohort. STUDY DESIGN Retrospective cohort study including 3 905 399 children born 1996-2016 in 7 US healthcare systems or Ontario, Canada, and followed from birth to cancer diagnosis, death, age 15 years, disenrollment, or December 30, 2016. Down syndrome was identified using International Classification of Diseases, Ninth and Tenth Revisions, diagnosis codes. Cancer diagnoses were identified through linkages to tumor registries. Incidence and hazard ratios (HRs) of leukemia were estimated for children with Down syndrome and other children adjusting for health system, child's age at diagnosis, birth year, and sex. RESULTS Leukemia was diagnosed in 124 of 4401 children with Down syndrome and 1941 of 3 900 998 other children. In children with Down syndrome, the cumulative incidence of acute myeloid leukemia (AML) was 1405/100 000 (95% CI 1076-1806) at age 4 years and unchanged at age 14 years. The cumulative incidence of acute lymphoid leukemia in children with Down syndrome was 1059/100 000 (95% CI 755-1451) at age 4 and 1714/100 000 (95% CI 1264-2276) at age 14 years. Children with Down syndrome had a greater risk of AML before age 5 years than other children (HR 399, 95% CI 281-566). Largest HRs were for megakaryoblastic leukemia before age 5 years (HR 1500, 95% CI 555-4070). Children with Down syndrome had a greater risk of acute lymphoid leukemia than other children regardless of age (<5 years: HR 28, 95% CI 20-40, ≥5 years HR 21, 95% CI 12-38). CONCLUSIONS Down syndrome remains a strong risk factor for childhood leukemia, and associations with AML are stronger than previously reported.
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Affiliation(s)
- Emily C Marlow
- Graduate Group in Epidemiology, University of California, Davis, Davis, CA; Department of Public Health Sciences, University of California, Davis, Davis, CA
| | - Jonathan Ducore
- Department of Pediatrics, University of California, Davis, Davis, CA
| | - Marilyn L Kwan
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | | | - Erin J A Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Salt Lake City, UT
| | - Robert T Greenlee
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI
| | - Jason D Pole
- ICES, Toronto, Ontario, Canada; Centre for Health Service Research, University of Queensland, Brisbane, Australia; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Natasha K Stout
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Sheila Weinmann
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR; Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu, HI
| | - Rebecca Smith-Bindman
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA; Department of Obstetrics, Gynecology and Reproductive Medicine, University of California, San Francisco, San Francisco, CA; Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA
| | - Diana L Miglioretti
- Department of Public Health Sciences, University of California, Davis, Davis, CA; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Salt Lake City, UT.
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12
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Wakeford R, Bithell JF. A review of the types of childhood cancer associated with a medical X-ray examination of the pregnant mother. Int J Radiat Biol 2021; 97:571-592. [PMID: 33787450 DOI: 10.1080/09553002.2021.1906463] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 02/11/2021] [Accepted: 03/05/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE For 65 years the interpretation of the statistical association between the risk of cancer in a child and a prior diagnostic X-ray examination of the abdomen of the pregnant mother has been debated. The objections to a direct cause-and-effect explanation of the association vary in their strength, but one of the most notable grounds for controversy is the finding from the first and largest case-control study reporting the association, the Oxford Survey of Childhood Cancers (OSCC), of an almost uniformly raised relative risk (RR) for nearly all of the types of cancer that are most frequent in children. Here we compare the antenatal X-ray associations found in the OSCC for different types of childhood cancer with the results of all other case-control and case-cohort studies appropriately combined in meta-analyses, and we also review the findings of the few cohort studies that have been conducted. CONCLUSIONS From the case-control/case-cohort studies other than the OSCC there are consistent and clear elevations of risk for all types of childhood cancer combined, all leukemia, and all cancers except leukemia combined. This compatibility of the findings of the OSCC with those of the combined other studies is less clear, or effectively absent, when some categories containing smaller numbers of incident cases/deaths are considered, but lack of precision of risk estimates due to sparse data presents inferential challenges, although there is a consistent absence of an association for bone tumors. Further, more recent studies almost certainly address lower intrauterine doses, with an anticipated decrease in estimated risks, which could be misleading when comparisons involve a limited number of studies that are mainly from later years, and a similar problem arises when having to employ all types of antenatal X-ray exposures for a study because data for abdominal exposures are absent. The problem of low statistical power is greater for cohort studies, and this, together with other shortcomings identified in the studies, limits the interpretational value of results. The findings of non-medical intrauterine exposure studies are constrained by sparse data and make a limited contribution to an understanding of the association. Certain aspects of the various studies require a need for caution in interpretation, but overall, the appropriate combination of all case-control/case-cohort studies other than the OSCC lends support to the inference that low-level exposure to radiation in utero proportionally increases the risk of the typical cancers of childhood to around the same level.
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Affiliation(s)
- Richard Wakeford
- Centre for Occupational and Environmental Health, The University of Manchester, Manchester, UK
| | - John F Bithell
- Department of Statistics, University of Oxford, Oxford, UK
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13
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Kojimahara N, Yoshitake T, Ono K, Kai M, Bynes G, Schüz J, Cardis E, Kesminiene A. Computed tomography of the head and the risk of brain tumours during childhood and adolescence: results from a case-control study in Japan. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2020; 40:1010-1023. [PMID: 32759481 DOI: 10.1088/1361-6498/abacff] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
To clarify whether medical radiation exposure, especially from head computed tomography (CT), increases the risk of brain tumours in young patients in Japan, which ranks the second highest in the world in the number of paediatric CT examinations following the US. From 2011 to 2015, we performed a case-control study of 120 brain tumour patients and 360 appendicitis patients as controls. Reasons, the number of brain and head CT scans date were available from interviews. A cumulative radiation dose to the brain was calculated as a sum of doses received from head CT scans and from conventional X-rays and estimated using a reference table derived from a literature review of published studies. We performed conditional logistic regression to assess the risk of brain tumours from brain and head CT, and from conventional head X-ray procedures. The case group received on average 1.8 CTs to the brain area and 2.2 CTs to the whole head, with a mean estimated brain dose of 32 ±13 mGy. The odds ratio for developing a brain tumour from having a brain CT was 0.93 (95% confidence interval: 0.38-1.82). This was hardly altered when adjusting for parental educational history and for other diseases (history of neurological disease and attention-deficit disorder/attention-deficit hyperactivity disorder). Neither whole head CT nor cumulative brain dose to the brain increased the risk of glioma or of all brain tumours. Although this study conducted in Japan, where ranks second in the number of CT scans conducted in the world, did not show an increased risk of brain tumours related to CT scans, it should be taken with caution due to a case-control study with limited sample size.
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Affiliation(s)
- Noriko Kojimahara
- Research Support Center,, Shizuoka General Hospital, Shizuoka, Japan, Shizuoka, 420-8527, JAPAN
| | | | - Koji Ono
- Tokyo Healthcare University - Kokuritsu Byoin Kiko Campus, Meguro-ku, Tokyo, JAPAN
| | - M Kai
- Department of Health Sciences, Oita University of Nursing and Health Sciences, Megusuno 2944-9, Oita, Oita, 870-1201, JAPAN
| | - Graham Bynes
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, FRANCE
| | - Joachim Schüz
- World Health Organization, Geneva, 1211, SWITZERLAND
| | - Elisabeth Cardis
- Centre for Research in Environmental Epidemiology, Parc de Recerca, Biomedica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Barcelona, SPAIN
| | - Ausrele Kesminiene
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, FRANCE
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14
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Schubauer-Berigan MK, Berrington de Gonzalez A, Cardis E, Laurier D, Lubin JH, Hauptmann M, Richardson DB. Evaluation of Confounding and Selection Bias in Epidemiological Studies of Populations Exposed to Low-Dose, High-Energy Photon Radiation. J Natl Cancer Inst Monogr 2020; 2020:133-153. [PMID: 32657349 PMCID: PMC7355263 DOI: 10.1093/jncimonographs/lgaa008] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Low-dose, penetrating photon radiation exposure is ubiquitous, yet our understanding of cancer risk at low doses and dose rates derives mainly from high-dose studies. Although a large number of low-dose cancer studies have been recently published, concern exists about the potential for confounding to distort findings. The aim of this study was to describe and assess the likely impact of confounding and selection bias within the context of a systematic review. METHODS We summarized confounding control methods for 26 studies published from 2006 to 2017 by exposure setting (environmental, medical, or occupational) and identified confounders of potential concern. We used information from these and related studies to assess evidence for confounding and selection bias. For factors in which direct or indirect evidence of confounding was lacking for certain studies, we used a theoretical adjustment to determine whether uncontrolled confounding was likely to have affected the results. RESULTS For medical studies of childhood cancers, confounding by indication (CBI) was the main concern. Lifestyle-related factors were of primary concern for environmental and medical studies of adult cancers and for occupational studies. For occupational studies, other workplace exposures and healthy worker survivor bias were additionally of interest. For most of these factors, however, review of the direct and indirect evidence suggested that confounding was minimal. One study showed evidence of selection bias, and three occupational studies did not adjust for lifestyle or healthy worker survivor bias correlates. Theoretical adjustment for three factors (smoking and asbestos in occupational studies and CBI in childhood cancer studies) demonstrated that these were unlikely to explain positive study findings due to the rarity of exposure (eg, CBI) or the relatively weak association with the outcome (eg, smoking or asbestos and all cancers). CONCLUSION Confounding and selection bias are unlikely to explain the findings from most low-dose radiation epidemiology studies.
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Affiliation(s)
- Mary K Schubauer-Berigan
- Evidence Synthesis and Classification Section, International Agency for Research on Cancer, Lyon, France
| | | | - Elisabeth Cardis
- Radiation Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Dominique Laurier
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Fontenay-aux-Roses, France
| | - Jay H Lubin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Michael Hauptmann
- Division of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, The Netherlands (MH); Brandenburg Medical School, Institute of Biostatistics and Registry Research, Neuruppin, Germany
| | - David B Richardson
- Department of Epidemiology, University of North Carolina, School of Public Health, Chapel Hill, NC, USA
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15
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Brenner AV, Sugiyama H, Preston DL, Sakata R, French B, Sadakane A, Cahoon EK, Utada M, Mabuchi K, Ozasa K. Radiation risk of central nervous system tumors in the Life Span Study of atomic bomb survivors, 1958-2009. Eur J Epidemiol 2020; 35:591-600. [PMID: 31982981 PMCID: PMC7329623 DOI: 10.1007/s10654-019-00599-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/28/2019] [Indexed: 10/25/2022]
Abstract
Radiation exposure is among the few factors known to be associated with risk of central nervous system (CNS) tumors. However, the patterns of radiation risk by histological type, sex or age are unclear. We evaluated radiation risks of first primary glioma, meningioma, schwannoma, and other or not otherwise specified (other/NOS) tumors in the Life Span Study cohort of atomic bomb survivors. Cases diagnosed between 1958 and 2009 were ascertained through population-based cancer registries in Hiroshima and Nagasaki. To estimate excess relative risk per Gy (ERR/Gy), we fit rate models using Poisson regression methods. There were 285 CNS tumors (67 gliomas, 107 meningiomas, 49 schwannomas, and 64 other/NOS tumors) among 105,444 individuals with radiation dose estimates to the brain contributing 3.1 million person-years of observation. Based on a simple linear model without effect modification, ERR/Gy was 1.67 (95% confidence interval, CI: 0.12 to 5.26) for glioma, 1.82 (95% CI: 0.51 to 4.30) for meningioma, 1.45 (95% CI: - 0.01 to 4.97) for schwannoma, and 1.40 (95% CI: 0.61 to 2.57) for all CNS tumors as a group. For each tumor type, the dose-response was consistent with linearity and appeared to be stronger among males than among females, particularly for meningioma (P = 0.045). There was also evidence that the ERR/Gy for schwannoma decreased with attained age (P = 0.002). More than 60 years after the bombings, radiation risks for CNS tumors continue to be elevated. Further follow-up is necessary to characterize the lifetime risks of specific CNS tumors following radiation exposure.
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Affiliation(s)
- Alina V Brenner
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan.
| | - Hiromi Sugiyama
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
| | | | - Ritsu Sakata
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
| | - Benjamin French
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
| | - Atsuko Sadakane
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
| | - Elizabeth K Cahoon
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mai Utada
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
| | - Kiyohiko Mabuchi
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Epidemiology, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815, Japan
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16
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Meulepas JM, Ronckers CM, Smets AMJB, Nievelstein RAJ, Gradowska P, Lee C, Jahnen A, van Straten M, de Wit MCY, Zonnenberg B, Klein WM, Merks JH, Visser O, van Leeuwen FE, Hauptmann M. Radiation Exposure From Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands. J Natl Cancer Inst 2020; 111:256-263. [PMID: 30020493 DOI: 10.1093/jnci/djy104] [Citation(s) in RCA: 219] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/10/2018] [Accepted: 05/04/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Computed tomography (CT), a strong diagnostic tool, delivers higher radiation doses than most imaging modalities. As CT use has increased rapidly, radiation protection is important, particularly among children. We evaluate leukemia and brain tumor risk following exposure to low-dose ionizing radiation from CT scans in childhood. METHODS For a nationwide retrospective cohort of 168 394 children who received one or more CT scans in a Dutch hospital between 1979 and 2012 who were younger than age 18 years, we obtained cancer incidence, vital status, and confounder information by record linkage with external registries. Standardized incidence ratios were calculated using cancer incidence rates from the general Dutch population. Excess relative risks (ERRs) per 100 mGy organ dose were calculated with Poisson regression. All statistical tests were two-sided. RESULTS Standardized incidence ratios were elevated for all cancer sites. Mean cumulative bone marrow doses were 9.5 mGy at the end of follow-up, and leukemia risk (excluding myelodysplastic syndrome) was not associated with cumulative bone marrow dose (44 cases). Cumulative brain dose was on average 38.5 mGy and was statistically significantly associated with risk for malignant and nonmalignant brain tumors combined (ERR/100 mGy: 0.86, 95% confidence interval = 0.20 to 2.22, P = .002, 84 cases). Excluding tuberous sclerosis complex patients did not substantially change the risk. CONCLUSIONS We found evidence that CT-related radiation exposure increases brain tumor risk. No association was observed for leukemia. Compared with the general population, incidence of brain tumors was higher in the cohort of children with CT scans, requiring cautious interpretation of the findings.
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Affiliation(s)
- Johanna M Meulepas
- Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Cécile M Ronckers
- Department of Paediatric Oncology, Emma Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - Anne M J B Smets
- Department of Radiology, University Medical Center Utrecht, the Netherlands
| | | | - Patrycja Gradowska
- Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD
| | - Andreas Jahnen
- Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, the Netherlands
| | - Marcel van Straten
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, the Netherlands
| | - Marie-Claire Y de Wit
- Department of Neurology and Paediatric Neurology, Erasmus MC, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Bernard Zonnenberg
- Department of Internal Medicine, University Medical Center Utrecht, the Netherlands
| | - Willemijn M Klein
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Johannes H Merks
- Department of Paediatric Oncology, Emma Children's Hospital, University Medical Center Utrecht, the Netherlands.,Academic Medical Center Amsterdam, Amsterdam, the Netherlands; Dutch Childhood Oncology Group, the Hague, the Netherlands, University Medical Center Utrecht, the Netherlands
| | - Otto Visser
- Department of Registration, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands
| | - Flora E van Leeuwen
- Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Michael Hauptmann
- Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
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17
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Mehyar LS, Abu-Arja MH, Stanek JR, Elbeshlawi I, AbdelBaki MS. The Risk of Developing Secondary Central Nervous System Tumors After Diagnostic Irradiation From Computed Tomography in Pediatrics: A Literature Review. Pediatr Neurol 2019; 98:18-24. [PMID: 31235364 DOI: 10.1016/j.pediatrneurol.2019.03.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 02/27/2019] [Accepted: 03/31/2019] [Indexed: 01/21/2023]
Abstract
BACKGROUND Advanced diagnostic imaging has provided tremendous benefits; however, increased use of ionizing radiation modalities such as cranial computed tomography (CT) may be associated with an increased risk of developing central nervous system tumors. METHODS A literature review identified studies published for more than the last 50 years from 1968 to 2018 that explored the association between head CT scans and developing central nervous system tumors in pediatrics. We reviewed seven studies that described and analyzed the risk of brain tumors. RESULTS A positive correlation between exposure to CT scans and developing central nervous system tumors was evident in all cohorts. The strength of the association varied across the studies. Exclusion of patients with predisposing factors to central nervous system tumors was examined in four studies with a decreased risk to develop central nervous system tumors noted in three studies. Two studies reported nonsignificant reduction in the excess relative risk per milliGray of brain dose after adjusting for predisposing factors, whereas the reduction was significant in one study. The frequency of CT exposure was proportional to the risk of developing tumors in two studies although not significantly maintained in two other studies. Gender had no significant effect on the central nervous system tumor risk. The calendar year at the time of imaging showed decreasing risk in those exposed to CT in more recent years compared with prior decades. CONCLUSIONS Prospective epidemiologic studies are needed to examine the precise carcinogenic effect of exposure to ionizing radiation and help tailor further preventive measures.
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Affiliation(s)
- Lubna S Mehyar
- Division of Pediatric Hematology, Oncology and Bone Marrow Transplant, Ruby Memorial Hospital, Morgantown, West Virginia.
| | - Mohammad H Abu-Arja
- Division of Pediatric Hematology, Oncology and Bone Marrow Transplant, Nationwide Children's Hospital, Columbus, Ohio
| | - Joseph R Stanek
- Division of Pediatric Hematology, Oncology and Bone Marrow Transplant, Nationwide Children's Hospital, Columbus, Ohio
| | - Ismail Elbeshlawi
- Pediatric Hematology/Oncology and Bone Marrow Transplantation Unit, Great Ormond Street Hospital, London, United Kingdom
| | - Mohamed S AbdelBaki
- Division of Pediatric Hematology, Oncology and Bone Marrow Transplant, Nationwide Children's Hospital, Columbus, Ohio
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18
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Habib Geryes B, Hornbeck A, Jarrige V, Pierrat N, Ducou Le Pointe H, Dreuil S. Patient dose evaluation in computed tomography: A French national study based on clinical indications. Phys Med 2019; 61:18-27. [PMID: 31151575 DOI: 10.1016/j.ejmp.2019.04.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/31/2019] [Accepted: 04/08/2019] [Indexed: 11/26/2022] Open
Abstract
PURPOSE A national survey was performed to assess patient dose indicators based on clinical indication and on patient morphology for most common adult computed tomography (CT) examinations in France. METHODS Seventeen groups of clinical indications (GCIs) for diagnostic CT in adult patients were considered based on their frequency and on image quality requirements. Data was collected for 15-30 consecutive examinations performed between 2015 and 2017, per CT scanner and GCI. Distributions of total examination Dose-Length Product (DLP) and Volume CT Dose Index (CTDIvol) were assessed for each GCI as a function of patient gender or patient Body Mass Index (BMI) for head/neck and trunk examinations, respectively. RESULTS 6610 examinations were analysed. Median total exam DLP values were higher for men compared to women patients for head and neck examinations: difference ranged from 6% for ear trauma indication (577 vs 543 mGy·cm, p = 0.01) to 35% for brain tumour GCI (1472 vs 1093 mGy·cm, p < 0.01). For trunk examinations, total exam DLP increased consistently with patient's BMI. For normal-BMI patients, median CTDIvol and DLP differed significantly between different GCIs for single-phase CT of the chest (3 mGy and 112 mGy·cm, respectively, for chronic obstructive pulmonary disease group vs 5.8 mGy and 207 mGy·cm for pulmonary embolism group, p < 0.05) and of the abdomen-pelvis (5.6 mGy and 284 mGy·cm, respectively, in renal colic group vs 9.5 mGy and 463 mGy·cm in occlusive syndrome group, p < 0.05). CONCLUSION This study provides morphological- and clinical-based patient dose indicators in CT as a practical tool for clinical practices optimisation.
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Affiliation(s)
- Bouchra Habib Geryes
- French Society of Medical Physics (SFPM), Centre Antoine Béclère, 47 Rue de la Colonie, 75013 Paris, France; Department of Adult Radiology, Necker Enfants Malades University Hospital, 149 rue de Sèvres 75743, Paris Cedex 15, France
| | - Amaury Hornbeck
- French Society of Medical Physics (SFPM), Centre Antoine Béclère, 47 Rue de la Colonie, 75013 Paris, France; Department of Medical Physics, ALARA Expertise, 7 Allée de l'Europe, 67960 Entzheim, France; Department of Pediatric Imaging, Armand Trousseau Hospital, APHP, The MAMUTH Hospital (University Department for Innovative Therapies in Musculoskeletal Diseases), Sorbonne Université, Paris, France
| | - Valérie Jarrige
- French Society of Medical Physics (SFPM), Centre Antoine Béclère, 47 Rue de la Colonie, 75013 Paris, France; Department of Radiology, Jacques Cœur Hospital, 145 Avenue François Mitterrand, 18000 Bourges, France
| | - Noëlle Pierrat
- French Society of Medical Physics (SFPM), Centre Antoine Béclère, 47 Rue de la Colonie, 75013 Paris, France; Medical Physics Department, Curie Institute, 26 Rue d'Ulm, 75005 Paris, France
| | - Hubert Ducou Le Pointe
- French Society of Radiology (SFR), 47 Rue de la Colonie, 75013 Paris, France; Department of Pediatric Imaging, Armand Trousseau Hospital, APHP, The MAMUTH Hospital (University Department for Innovative Therapies in Musculoskeletal Diseases), Sorbonne Université, Paris, France
| | - Serge Dreuil
- French Society of Medical Physics (SFPM), Centre Antoine Béclère, 47 Rue de la Colonie, 75013 Paris, France; Institut de Radioprotection et de Sûreté Nucléaire, 31 avenue de la Division Leclerc, B.P. 17, 92262 Fontenay-aux-Roses Cedex, France.
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19
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Meulepas JM, Ronckers CM, Smets AMJB, Nievelstein RAJ, Gradowska P, Lee C, Jahnen A, van Straten M, de Wit MCY, Zonnenberg B, Klein WM, Merks JH, Visser O, van Leeuwen FE, Hauptmann M. Response. J Natl Cancer Inst 2019; 111:djz062. [PMID: 30977817 PMCID: PMC6748750 DOI: 10.1093/jnci/djz062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 04/04/2019] [Accepted: 04/03/2019] [Indexed: 02/28/2024] Open
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael Hauptmann
- Correspondence to: Michael Hauptmann, PhD, Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands (e-mail: )
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20
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Bernier MO, Baysson H, Pearce MS, Moissonnier M, Cardis E, Hauptmann M, Struelens L, Dabin J, Johansen C, Journy N, Laurier D, Blettner M, Le Cornet L, Pokora R, Gradowska P, Meulepas JM, Kjaerheim K, Istad T, Olerud H, Sovik A, Bosch de Basea M, Thierry-Chef I, Kaijser M, Nordenskjöld A, Berrington de Gonzalez A, Harbron RW, Kesminiene A. Cohort Profile: the EPI-CT study: a European pooled epidemiological study to quantify the risk of radiation-induced cancer from paediatric CT. Int J Epidemiol 2019; 48:379-381g. [PMID: 30388267 PMCID: PMC6469297 DOI: 10.1093/ije/dyy231] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2018] [Indexed: 01/13/2023] Open
Affiliation(s)
- Marie-Odile Bernier
- Laboratory of Epidemiology, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Hélène Baysson
- Laboratory of Epidemiology, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Mark S Pearce
- Institute of Health & Society
- NIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Newcastle University, Newcastle upon Tyne, UK
| | | | - Elisabeth Cardis
- Barcelona Institute for Global Health ISGlobal, ISGlobal, Barcelona, Spain
- Radiation Programme, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Michael Hauptmann
- Department of Epidemiology and Statistics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lara Struelens
- Radiation Protection Dosimetry and Calibration Department, Belgian Nuclear Research Centre SCK-CEN, Mol, Belgium
| | - Jeremie Dabin
- Radiation Protection Dosimetry and Calibration Department, Belgian Nuclear Research Centre SCK-CEN, Mol, Belgium
| | | | - Neige Journy
- Laboratory of Epidemiology, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Dominique Laurier
- Laboratory of Epidemiology, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay aux Roses, France
| | - Maria Blettner
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Lucian Le Cornet
- Section of Environment and Radiation, IARC, Lyon, France
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany
| | - Roman Pokora
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Patrycja Gradowska
- Department of Epidemiology and Statistics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Johanna M Meulepas
- Department of Epidemiology and Statistics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Tore Istad
- Norwegian Radiation Protection Authority, Østerås, Norway
| | - Hilde Olerud
- Norwegian Radiation Protection Authority, Østerås, Norway
- Department of Physics, University in Oslo, Oslo, Norway
| | - Aste Sovik
- Norwegian Radiation Protection Authority, Østerås, Norway
| | | | - Isabelle Thierry-Chef
- Section of Environment and Radiation, IARC, Lyon, France
- Barcelona Institute for Global Health ISGlobal, ISGlobal, Barcelona, Spain
- Radiation Programme, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Magnus Kaijser
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Arvid Nordenskjöld
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Clinical Epidemiological Unit, Solna, Karolinska Institutet, Stockholm, Sweden
| | | | - Richard W Harbron
- Institute of Health & Society
- NIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Newcastle University, Newcastle upon Tyne, UK
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21
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Indirect adjustment of relative risks of an exposure with multiple categories for an unmeasured confounder. Ann Epidemiol 2018; 28:801-807. [PMID: 30297163 DOI: 10.1016/j.annepidem.2018.09.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 09/04/2018] [Accepted: 09/10/2018] [Indexed: 01/24/2023]
Abstract
PURPOSE With observational epidemiologic studies, there is often concern that an unmeasured variable might confound an observed association. Investigators can assess the impact from such unmeasured variables on an observed relative risk (RR) by utilizing externally sourced information and applying an indirect adjustment procedure, for example, the "Axelson adjustment." Although simple and easy to use, this approach applies to exposure and confounder variables that are binary. Other approaches eschew specific values and provide only bounds on the potential bias. METHODS For both multiplicative and additive RR models, we present formulae for indirect adjustment of observed RRs for unmeasured potential confounding variables when there are multiple categories. In addition, we suggest an alternative strategy to identify the characteristics that the confounder must have to explain fully the observed association. RESULTS AND CONCLUSIONS We provide examples involving studies of pediatric computer tomography scanning and leukemia and nuclear radiation workers and smoking to demonstrate that with externally sourced information, an investigator can assess whether confounding from unmeasured factors is likely to occur.
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22
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Nagayama Y, Oda S, Nakaura T, Tsuji A, Urata J, Furusawa M, Utsunomiya D, Funama Y, Kidoh M, Yamashita Y. Radiation Dose Reduction at Pediatric CT: Use of Low Tube Voltage and Iterative Reconstruction. Radiographics 2018; 38:1421-1440. [DOI: 10.1148/rg.2018180041] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Yasunori Nagayama
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Seitaro Oda
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Takeshi Nakaura
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Akinori Tsuji
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Joji Urata
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Mitsuhiro Furusawa
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Daisuke Utsunomiya
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Yoshinori Funama
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Masafumi Kidoh
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
| | - Yasuyuki Yamashita
- From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., D.U., M.K., Y.Y.), and Department of Medical Physics, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Radiology, Kumamoto City Hospital, Kumamoto, Japan (Y.N., A.T., J.U., M.F.)
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23
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Meulepas JM, Hauptmann M, Lubin JH, Shuryak I, Brenner DJ. Is there Unmeasured Indication Bias in Radiation-Related Cancer Risk Estimates from Studies of Computed Tomography? Radiat Res 2017; 189:128-135. [PMID: 29206598 DOI: 10.1667/rr14807.1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Recently reported studies have associated radiation exposure from computed tomography (CT) scanning with small excess cancer risks. However, since existing medical records were used in these studies, they could not control for reasons for the CT scans and therefore, the results may have been confounded by indication. Here we conducted a study to estimate potential indication bias that could affect hazard ratios for colorectal, lung and female breast cancers by reasons for a CT scan. This involved a retrospective cohort study of electronic records from all patients aged 18-89 years without previous cancer diagnoses, who received at least one CT scan at Columbia University Medical Center in the period of 1994-2014. This investigation is not a study of CT-related cancer risks with adjustment for reasons, but an evaluation of the potential for confounding by indication in such studies. Among 75,968 patients, 212,487 CT scans were analyzed during a mean follow-up of 7.6 years. For colorectal and female breast cancers, no hazard ratio bias estimates for any of the CT reasons reached statistical significance. For lung cancer, significant biases occurred only in patients with unknown CT reasons and in patients with CTs for "abnormal findings" and in those with CTs for cancer- or nodule-related reasons. This retrospective cohort study among adults with ≥1 CT scan evaluates, for the first time, CT reason-specific indication biases of potential CT-related cancer risks. Overall, our data suggest that, in studies of adults who underwent CT scans, indication bias is likely to be of negligible importance for colorectal cancer and female breast cancer risk estimation; for lung cancer, indication bias is possible but would likely be associated with only a small modulation of the risk estimate. Radiat. Res.
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Affiliation(s)
- Johanna M Meulepas
- a Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Michael Hauptmann
- a Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Jay H Lubin
- b National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland; and
| | - Igor Shuryak
- c Center for Radiological Research, Columbia University Medical Center, New York, New York
| | - David J Brenner
- c Center for Radiological Research, Columbia University Medical Center, New York, New York
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24
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McRobbie D. Both sides now: diagnostic imaging medical physics in two hemispheres. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2017; 40:269-272. [PMID: 28597230 DOI: 10.1007/s13246-017-0561-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Donald McRobbie
- SA Medical Imaging Physics, SA Health, Adelaide, Australia. .,Flinders Medical Centre, Adelaide, Australia. .,School of Physical Sciences, University of Adelaide, Adelaide, Australia. .,Department of Surgery, Imperial College, London, UK.
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