Pediatric computed tomography scan and subsequent risk of malignancy: a nationwide population-based cohort study in Korea using National Cancer Institute dosimetry system for computed tomography (NCICT)

Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for...

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Published inBMC medicine Vol. 23; no. 1; pp. 355 - 11
Main Authors Han, Sangsoo, Soh, Jaewan, Nah, Sangun, Han, Kyungdo, Jung, Jin-Hyung, Park, Jiwon, Hwang, YoonJoong, Lee, Choonsik, Hong, Jae-Young
Format Journal Article
LanguageEnglish
Published London BioMed Central 01.07.2025
BioMed Central Ltd
BMC
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ISSN1741-7015
1741-7015
DOI10.1186/s12916-025-04235-3

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Abstract Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. Methods This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. Results From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose–response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139–1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291–1.486), thyroid cancer (HR 1.248, 95% CI: 1.218–1.278), brain cancer (HR 1.201, 95% CI: 1.177–1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240–1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053–1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062–1.112), also showed increased risks. Conclusions This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
AbstractList Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks. This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. Methods This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. Results From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks. Conclusions This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children. Keywords: Computed tomography, Neoplasms, Cohort studies, Pediatrics
Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks. This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
BackgroundComputed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort.MethodsThis nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose.ResultsFrom 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose–response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139–1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291–1.486), thyroid cancer (HR 1.248, 95% CI: 1.218–1.278), brain cancer (HR 1.201, 95% CI: 1.177–1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240–1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053–1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062–1.112), also showed increased risks.ConclusionsThis study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. Methods This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. Results From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose–response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139–1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291–1.486), thyroid cancer (HR 1.248, 95% CI: 1.218–1.278), brain cancer (HR 1.201, 95% CI: 1.177–1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240–1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053–1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062–1.112), also showed increased risks. Conclusions This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
Abstract Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort. Methods This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose. Results From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose–response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139–1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291–1.486), thyroid cancer (HR 1.248, 95% CI: 1.218–1.278), brain cancer (HR 1.201, 95% CI: 1.177–1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240–1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053–1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062–1.112), also showed increased risks. Conclusions This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort.BACKGROUNDComputed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort.This nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose.METHODSThis nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose.From 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks.RESULTSFrom 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks.This study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.CONCLUSIONSThis study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.
ArticleNumber 355
Audience Academic
Author Jung, Jin-Hyung
Hwang, YoonJoong
Hong, Jae-Young
Soh, Jaewan
Han, Kyungdo
Lee, Choonsik
Han, Sangsoo
Park, Jiwon
Nah, Sangun
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  organization: Department of Orthopedics, Division of Spinal Surgery, College of Medicine, Korea University
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Cites_doi 10.1210/jc.2016-3529
10.1136/bmj.f2360
10.1056/NEJMoa0901249
10.3324/haematol.2018.187716
10.1001/jamapediatrics.2013.311
10.1136/bmj.38499.599861.E0
10.1148/radiol.2231012100
10.1038/bjc.2014.103
10.1158/0008-5472.CAN-10-0276
10.1093/jnci/djy104
10.1088/1361-6560/abebab
10.1016/S1470-2045(22)00655-6
10.1016/S2213-8587(20)30430-7
10.1088/2057-1976/ac9845
10.1016/S0140-6736(12)60815-0
10.1007/s00411-014-0580-3
10.1136/bmj.320.7235.593
10.1667/RR14213.1
10.1001/jamanetworkopen.2019.10584
10.1038/s41598-020-64805-8
10.1056/NEJMra072149
10.1007/s11894-011-0214-8
10.2214/ajr.176.2.1760289
10.1080/09553002.2021.1931527
10.1038/s41591-023-02620-0
10.1088/0952-4746/34/1/E1
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Issue 1
Keywords Pediatrics
Computed tomography
Neoplasms
Cohort studies
Language English
License 2025. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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References JY Hong (4235_CR11) 2019; 2
W Huang (4235_CR20) 2014; 110
4235_CR30
G Chodick (4235_CR1) 2007; 9
C Lee (4235_CR12) 2022; 8
DJ Brenner (4235_CR18) 2001; 176
R Fazel (4235_CR13) 2009; 361
MM Rehani (4235_CR2) 2000; 320
E Cardis (4235_CR10) 2005; 331
A Tahmasebzadeh (4235_CR24) 2021; 97
CI Li (4235_CR29) 2010; 70
4235_CR15
MS Pearce (4235_CR6) 2012; 380
4235_CR16
4235_CR7
JD Mathews (4235_CR9) 2013; 346
4235_CR14
DL Miglioretti (4235_CR3) 2013; 167
L Lamartina (4235_CR21) 2021; 9
I-G Li (4235_CR27) 2020; 10
L Krille (4235_CR19) 2015; 54
ML Chang (4235_CR26) 2011; 13
JM Meulepas (4235_CR17) 2019; 111
L Walsh (4235_CR31) 2014; 34
JH Lubin (4235_CR22) 2017; 102
DJ Brenner (4235_CR4) 2007; 357
N Atte (4235_CR28) 2018; 103
LH Veiga (4235_CR23) 2016; 185
TL Slovis (4235_CR5) 2002; 223
EJ Grant (4235_CR25) 2021; 195
M Hauptmann (4235_CR8) 2023; 24
References_xml – volume: 102
  start-page: 2575
  year: 2017
  ident: 4235_CR22
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2016-3529
– volume: 346
  year: 2013
  ident: 4235_CR9
  publication-title: BMJ
  doi: 10.1136/bmj.f2360
– volume: 361
  start-page: 849
  year: 2009
  ident: 4235_CR13
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa0901249
– volume: 103
  start-page: 1873
  year: 2018
  ident: 4235_CR28
  publication-title: Haematologica
  doi: 10.3324/haematol.2018.187716
– volume: 167
  start-page: 700
  year: 2013
  ident: 4235_CR3
  publication-title: JAMA Pediatr
  doi: 10.1001/jamapediatrics.2013.311
– volume: 331
  start-page: 77
  year: 2005
  ident: 4235_CR10
  publication-title: BMJ
  doi: 10.1136/bmj.38499.599861.E0
– volume: 223
  start-page: 5
  year: 2002
  ident: 4235_CR5
  publication-title: Radiology
  doi: 10.1148/radiol.2231012100
– volume: 110
  start-page: 2354
  year: 2014
  ident: 4235_CR20
  publication-title: Br J Cancer
  doi: 10.1038/bjc.2014.103
– volume: 70
  start-page: 7187
  year: 2010
  ident: 4235_CR29
  publication-title: Cancer Res
  doi: 10.1158/0008-5472.CAN-10-0276
– volume: 111
  start-page: 256
  year: 2019
  ident: 4235_CR17
  publication-title: J Natl Cancer Inst
  doi: 10.1093/jnci/djy104
– ident: 4235_CR30
  doi: 10.1088/1361-6560/abebab
– volume: 24
  start-page: 45
  year: 2023
  ident: 4235_CR8
  publication-title: Lancet Oncol
  doi: 10.1016/S1470-2045(22)00655-6
– ident: 4235_CR16
– ident: 4235_CR14
– volume: 9
  start-page: 128
  year: 2021
  ident: 4235_CR21
  publication-title: Lancet Diabetes Endocrinol
  doi: 10.1016/S2213-8587(20)30430-7
– volume: 195
  start-page: 140
  year: 2021
  ident: 4235_CR25
  publication-title: Radiat Res
– volume: 8
  year: 2022
  ident: 4235_CR12
  publication-title: Biomed Phys Eng Express
  doi: 10.1088/2057-1976/ac9845
– volume: 380
  start-page: 499
  year: 2012
  ident: 4235_CR6
  publication-title: Lancet
  doi: 10.1016/S0140-6736(12)60815-0
– volume: 54
  start-page: 1
  year: 2015
  ident: 4235_CR19
  publication-title: Radiat Environ Biophys
  doi: 10.1007/s00411-014-0580-3
– volume: 320
  start-page: 593
  year: 2000
  ident: 4235_CR2
  publication-title: BMJ
  doi: 10.1136/bmj.320.7235.593
– volume: 185
  start-page: 473
  year: 2016
  ident: 4235_CR23
  publication-title: Radiat Res
  doi: 10.1667/RR14213.1
– volume: 2
  year: 2019
  ident: 4235_CR11
  publication-title: JAMA Netw Open
  doi: 10.1001/jamanetworkopen.2019.10584
– volume: 9
  start-page: 584
  year: 2007
  ident: 4235_CR1
  publication-title: Isr Med Assoc J
– volume: 10
  start-page: 7759
  year: 2020
  ident: 4235_CR27
  publication-title: Sci Rep
  doi: 10.1038/s41598-020-64805-8
– ident: 4235_CR15
– volume: 357
  start-page: 2277
  year: 2007
  ident: 4235_CR4
  publication-title: N Engl J Med
  doi: 10.1056/NEJMra072149
– volume: 13
  start-page: 449
  year: 2011
  ident: 4235_CR26
  publication-title: Curr Gastroenterol Rep
  doi: 10.1007/s11894-011-0214-8
– volume: 176
  start-page: 289
  year: 2001
  ident: 4235_CR18
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/ajr.176.2.1760289
– volume: 97
  start-page: 1282
  year: 2021
  ident: 4235_CR24
  publication-title: Int J Radiat Biol
  doi: 10.1080/09553002.2021.1931527
– ident: 4235_CR7
  doi: 10.1038/s41591-023-02620-0
– volume: 34
  start-page: E1
  year: 2014
  ident: 4235_CR31
  publication-title: J Radiol Prot
  doi: 10.1088/0952-4746/34/1/E1
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Snippet Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to...
Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher...
Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to...
BackgroundComputed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to...
Abstract Background Computed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns...
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StartPage 355
SubjectTerms Abdomen
Adolescent
Age
Biomedicine
Brain cancer
Brain tumors
Cancer
Care and treatment
Child
Child, Preschool
Children
Cohort analysis
Cohort Studies
Complications and side effects
Computed tomography
Confidence intervals
Congenital anomalies
Congenital defects
Congenital diseases
CT imaging
Diagnostic imaging
Digestive system
Dosimetry
Drug dosages
Family income
Female
Genetic disorders
Genital cancers
Health aspects
Health risks
Humans
Infant
Infant, Newborn
Leukemia
Lymphoma
Male
Malignancy
Medical diagnosis
Medical imaging
Medicine
Medicine & Public Health
National Cancer Institute (U.S.)
National health insurance
Neoplasms
Neoplasms - epidemiology
Neoplasms - etiology
Neoplasms, Radiation-Induced - epidemiology
Neoplasms, Radiation-Induced - etiology
Neuroimaging
Oncology, Experimental
Patients
Pediatric research
Pediatrics
Physiological aspects
Population studies
Radiation
Radiation Dosage
Republic of Korea - epidemiology
Review boards
Risk Assessment
Risk factors
Statistical analysis
Thyroid
Thyroid cancer
Thyroid gland
Tomography
Tomography, X-Ray Computed - adverse effects
Tumors
Young Adult
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Title Pediatric computed tomography scan and subsequent risk of malignancy: a nationwide population-based cohort study in Korea using National Cancer Institute dosimetry system for computed tomography (NCICT)
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