Dose Estimation for the European Epidemiological Study on Pediatric Computed Tomography (EPI-CT).


Journal

Radiation research
ISSN: 1938-5404
Titre abrégé: Radiat Res
Pays: United States
ID NLM: 0401245

Informations de publication

Date de publication:
01 07 2021
Historique:
received: 12 10 2020
accepted: 26 03 2021
pubmed: 30 4 2021
medline: 14 10 2021
entrez: 29 4 2021
Statut: ppublish

Résumé

Within the European Epidemiological Study to Quantify Risks for Paediatric Computerized Tomography (EPI-CT study), a cohort was assembled comprising nearly one million children, adolescents and young adults who received over 1.4 million computed tomography (CT) examinations before 22 years of age in nine European countries from the late 1970s to 2014. Here we describe the methods used for, and the results of, organ dose estimations from CT scanning for the EPI-CT cohort members. Data on CT machine settings were obtained from national surveys, questionnaire data, and the Digital Imaging and Communications in Medicine (DICOM) headers of 437,249 individual CT scans. Exposure characteristics were reconstructed for patients within specific age groups who received scans of the same body region, based on categories of machines with common technology used over the time period in each of the 276 participating hospitals. A carefully designed method for assessing uncertainty combined with the National Cancer Institute Dosimetry System for CT (NCICT, a CT organ dose calculator), was employed to estimate absorbed dose to individual organs for each CT scan received. The two-dimensional Monte Carlo sampling method, which maintains a separation of shared and unshared error, allowed us to characterize uncertainty both on individual doses as well as for the entire cohort dose distribution. Provided here are summaries of estimated doses from CT imaging per scan and per examination, as well as the overall distribution of estimated doses in the cohort. Doses are provided for five selected tissues (active bone marrow, brain, eye lens, thyroid and female breasts), by body region (i.e., head, chest, abdomen/pelvis), patient age, and time period (1977-1990, 1991-2000, 2001-2014). Relatively high doses were received by the brain from head CTs in the early 1990s, with individual mean doses (mean of 200 simulated values) of up to 66 mGy per scan. Optimization strategies implemented since the late 1990s have resulted in an overall decrease in doses over time, especially at young ages. In chest CTs, active bone marrow doses dropped from over 15 mGy prior to 1991 to approximately 5 mGy per scan after 2001. Our findings illustrate patterns of age-specific doses and their temporal changes, and provide suitable dose estimates for radiation-induced risk estimation in epidemiological studies.

Identifiants

pubmed: 33914893
pii: 464694
doi: 10.1667/RADE-20-00231.1
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-99

Subventions

Organisme : Department of Health
ID : RRX119
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C22891/A16015
Pays : United Kingdom

Informations de copyright

©2021 by Radiation Research Society. All rights of reproduction in any form reserved.

Auteurs

Isabelle Thierry-Chef (I)

International Agency for Research on Cancer, Lyon, France.
Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Gilles Ferro (G)

International Agency for Research on Cancer, Lyon, France.

Lucian Le Cornet (L)

Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Mainz, Germany.
German Cancer Research Center, Heidelberg, Germany.

Jérémie Dabin (J)

Belgian Nuclear Research Centre, SCK CEN, Mol, Belgium.

Tore S Istad (TS)

Norwegian Radiation and Nuclear Safety Authority, NO-0213 Oslo, Norway.

Andreas Jahnen (A)

Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.

Choonsik Lee (C)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.

Carlo Maccia (C)

CAATS, Sèvres, France.

Françoise Malchair (F)

CAATS, Sèvres, France.
ZEPHYRA, Liège, Belgium.

Hilde M Olerud (HM)

University of South-Eastern Norway, Faculty of Health and Social Sciences, Kongsberg, Norway.

Richard W Harbron (RW)

Institute of Health and Society, Newcastle University (UNEW), Newcastle upon Tyne, United Kingdom.
NIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Newcastle University, United Kingdom.
Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Jordi Figuerola (J)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Johannes Hermen (J)

Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.

Monika Moissonnier (M)

International Agency for Research on Cancer, Lyon, France.

Marie-Odile Bernier (MO)

Institut de Radioprotection et de Sûreté Nucléaire, Laboratoire d'épidémiologie des Rayonnements Ionisants, Fontenay-aux-Roses, France.

Magda Bosch Bosch de Basea (MB)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Graham Byrnes (G)

International Agency for Research on Cancer, Lyon, France.

Elisabeth Cardis (E)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Michael Hauptmann (M)

Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Institute of BiostatisTics and Registry Research, Medical University Brandenburg Theodor Fontane, Neuruppin, Germany.

Neige Journy (N)

Institut de Radioprotection et de Sûreté Nucléaire, Laboratoire d'épidémiologie des Rayonnements Ionisants, Fontenay-aux-Roses, France.
French National Institute of Health and Medical Research (Inserm) Unit 1018, Centre for Research in Epidemiology and Population Health (CESP), Cancer and Radiations Group, Gustave Roussy, Villejuif, France.

Ausrele Kesminiene (A)

International Agency for Research on Cancer, Lyon, France.

Johanna M Meulepas (JM)

Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, the Netherlands.

Roman Pokora (R)

Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Mainz, Germany.

Steven L Simon (SL)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.

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