Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile
Purpose The Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study is quantifying the association between cumulative radiation exposure from fetal and/or childhood medical imaging and subsequent cancer risk. This manuscript describes the study cohorts and research method...
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| Veröffentlicht in: | Cancer causes & control 2022-05, Vol.33 (5), p.711-726 |
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| creator | Kwan, Marilyn L. Miglioretti, Diana L. Bowles, Erin J. A. Weinmann, Sheila Greenlee, Robert T. Stout, Natasha K. Rahm, Alanna Kulchak Alber, Susan A. Pequeno, Priscila Moy, Lisa M. Stewart, Carly Fong, Cindy Jenkins, Charisma L. Kohnhorst, Diane Luce, Casey Mor, Joanne M. Munneke, Julie R. Prado, Yolanda Buth, Glen Cheng, Stephanie Y. Deosaransingh, Kamala A. Francisco, Melanie Lakoma, Matthew Martinez, Yannica Theda Theis, Mary Kay Marlow, Emily C. Kushi, Lawrence H. Duncan, James R. Bolch, Wesley E. Pole, Jason D. Smith-Bindman, Rebecca |
| description | Purpose
The Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study is quantifying the association between cumulative radiation exposure from fetal and/or childhood medical imaging and subsequent cancer risk. This manuscript describes the study cohorts and research methods.
Methods
The RIC Study is a longitudinal study of children in two retrospective cohorts from 6 U.S. healthcare systems and from Ontario, Canada over the period 1995–2017. The fetal-exposure cohort includes children whose mothers were enrolled in the healthcare system during their entire pregnancy and followed to age 20. The childhood-exposure cohort includes children born into the system and followed while continuously enrolled. Imaging utilization was determined using administrative data. Computed tomography (CT) parameters were collected to estimate individualized patient organ dosimetry. Organ dose libraries for average exposures were constructed for radiography, fluoroscopy, and angiography, while diagnostic radiopharmaceutical biokinetic models were applied to estimate organ doses received in nuclear medicine procedures. Cancers were ascertained from local and state/provincial cancer registry linkages.
Results
The fetal-exposure cohort includes 3,474,000 children among whom 6,606 cancers (2394 leukemias) were diagnosed over 37,659,582 person-years; 0.5% had in utero exposure to CT, 4.0% radiography, 0.5% fluoroscopy, 0.04% angiography, 0.2% nuclear medicine. The childhood-exposure cohort includes 3,724,632 children in whom 6,358 cancers (2,372 leukemias) were diagnosed over 36,190,027 person-years; 5.9% were exposed to CT, 61.1% radiography, 6.0% fluoroscopy, 0.4% angiography, 1.5% nuclear medicine.
Conclusion
The RIC Study is poised to be the largest study addressing risk of childhood and adolescent cancer associated with ionizing radiation from medical imaging, estimated with individualized patient organ dosimetry. |
| doi_str_mv | 10.1007/s10552-022-01556-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9596345</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2650109222</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-9d6c23c47ef04571923c1bc36301f64553904621f91acd79451224615d821de3</originalsourceid><addsrcrecordid>eNp9kstu1DAUhi1ERYfCC7BAltiURYrvwSyQRiOgI7UCSveWazsTl4w92A4wfTPeDk8zlMuCRZRY5_N3co5-AJ5gdIIRal9kjDgnDSL1wZyL5uYemGHe0qYlhN8HMyR523DC6CF4mPM1QogLgh6AQ8oxalvCZuDHx1GH4rutDytodDAuweTzZ9iluIbu-ybmMbkMS4RrZ73RA_RrvdrRPsDSO3ixo2MHP9SyLskbqIOFcxsHl40LBS4m6zznaCrhLPzmSw_P97rlXnd8sVw8h5_KaLevYG3pdDJ9bVr6aPOt08Q-pgI3KXZ-cI_AQaeH7B7v30fg8u2by8Vpc_b-3XIxP2sMa1lppBWG0PrtOsR4i2U94CtDBUW4E4xzKhETBHcSa2NbyTgmhAnM7UuCraNH4PWk3YxXdQO7iZIe1CbVNaStitqrvyvB92oVvyrJpaCMV8HxXpDil9Hlota-LmYYdHBxzIoIwiSnTNCKPvsHvY5jCnW6SnGEkSSEVIpMlEkx5-S6u5_BSO2CoaZgqBoMdRsMdVMvPf1zjLsrv5JQAToBuZbCyqXfvf-j_Qn0RsY8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2650109222</pqid></control><display><type>article</type><title>Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile</title><source>MEDLINE</source><source>Springer Journals</source><creator>Kwan, Marilyn L. ; Miglioretti, Diana L. ; Bowles, Erin J. A. ; Weinmann, Sheila ; Greenlee, Robert T. ; Stout, Natasha K. ; Rahm, Alanna Kulchak ; Alber, Susan A. ; Pequeno, Priscila ; Moy, Lisa M. ; Stewart, Carly ; Fong, Cindy ; Jenkins, Charisma L. ; Kohnhorst, Diane ; Luce, Casey ; Mor, Joanne M. ; Munneke, Julie R. ; Prado, Yolanda ; Buth, Glen ; Cheng, Stephanie Y. ; Deosaransingh, Kamala A. ; Francisco, Melanie ; Lakoma, Matthew ; Martinez, Yannica Theda ; Theis, Mary Kay ; Marlow, Emily C. ; Kushi, Lawrence H. ; Duncan, James R. ; Bolch, Wesley E. ; Pole, Jason D. ; Smith-Bindman, Rebecca</creator><creatorcontrib>Kwan, Marilyn L. ; Miglioretti, Diana L. ; Bowles, Erin J. A. ; Weinmann, Sheila ; Greenlee, Robert T. ; Stout, Natasha K. ; Rahm, Alanna Kulchak ; Alber, Susan A. ; Pequeno, Priscila ; Moy, Lisa M. ; Stewart, Carly ; Fong, Cindy ; Jenkins, Charisma L. ; Kohnhorst, Diane ; Luce, Casey ; Mor, Joanne M. ; Munneke, Julie R. ; Prado, Yolanda ; Buth, Glen ; Cheng, Stephanie Y. ; Deosaransingh, Kamala A. ; Francisco, Melanie ; Lakoma, Matthew ; Martinez, Yannica Theda ; Theis, Mary Kay ; Marlow, Emily C. ; Kushi, Lawrence H. ; Duncan, James R. ; Bolch, Wesley E. ; Pole, Jason D. ; Smith-Bindman, Rebecca</creatorcontrib><description>Purpose
The Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study is quantifying the association between cumulative radiation exposure from fetal and/or childhood medical imaging and subsequent cancer risk. This manuscript describes the study cohorts and research methods.
Methods
The RIC Study is a longitudinal study of children in two retrospective cohorts from 6 U.S. healthcare systems and from Ontario, Canada over the period 1995–2017. The fetal-exposure cohort includes children whose mothers were enrolled in the healthcare system during their entire pregnancy and followed to age 20. The childhood-exposure cohort includes children born into the system and followed while continuously enrolled. Imaging utilization was determined using administrative data. Computed tomography (CT) parameters were collected to estimate individualized patient organ dosimetry. Organ dose libraries for average exposures were constructed for radiography, fluoroscopy, and angiography, while diagnostic radiopharmaceutical biokinetic models were applied to estimate organ doses received in nuclear medicine procedures. Cancers were ascertained from local and state/provincial cancer registry linkages.
Results
The fetal-exposure cohort includes 3,474,000 children among whom 6,606 cancers (2394 leukemias) were diagnosed over 37,659,582 person-years; 0.5% had in utero exposure to CT, 4.0% radiography, 0.5% fluoroscopy, 0.04% angiography, 0.2% nuclear medicine. The childhood-exposure cohort includes 3,724,632 children in whom 6,358 cancers (2,372 leukemias) were diagnosed over 36,190,027 person-years; 5.9% were exposed to CT, 61.1% radiography, 6.0% fluoroscopy, 0.4% angiography, 1.5% nuclear medicine.
Conclusion
The RIC Study is poised to be the largest study addressing risk of childhood and adolescent cancer associated with ionizing radiation from medical imaging, estimated with individualized patient organ dosimetry.</description><identifier>ISSN: 0957-5243</identifier><identifier>EISSN: 1573-7225</identifier><identifier>DOI: 10.1007/s10552-022-01556-z</identifier><identifier>PMID: 35107724</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adolescent ; Adolescents ; Adult ; Angiography ; Biomedical and Life Sciences ; Biomedicine ; Cancer ; Cancer Research ; Child ; Children ; Cohort analysis ; Computed tomography ; Dosimeters ; Dosimetry ; Epidemiology ; Female ; Fetuses ; Fluoroscopy ; Health care ; Health risks ; Hematology ; Humans ; Intrauterine exposure ; Ionizing radiation ; Leukemia ; Longitudinal Studies ; Medical electronics ; Medical imaging ; Medical research ; Medicine ; Nuclear medicine ; Oncology ; Ontario - epidemiology ; Original Paper ; Patients ; Pediatrics ; Pharmaceuticals ; Pregnancy ; Prenatal exposure ; Public Health ; Radiation ; Radiation effects ; Radiochemistry ; Radiography ; Radioisotopes ; Research methodology ; Research methods ; Retrospective Studies ; Risk ; Teenagers ; Young Adult</subject><ispartof>Cancer causes & control, 2022-05, Vol.33 (5), p.711-726</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-9d6c23c47ef04571923c1bc36301f64553904621f91acd79451224615d821de3</citedby><cites>FETCH-LOGICAL-c474t-9d6c23c47ef04571923c1bc36301f64553904621f91acd79451224615d821de3</cites><orcidid>0000-0001-8863-3950</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10552-022-01556-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10552-022-01556-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35107724$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kwan, Marilyn L.</creatorcontrib><creatorcontrib>Miglioretti, Diana L.</creatorcontrib><creatorcontrib>Bowles, Erin J. A.</creatorcontrib><creatorcontrib>Weinmann, Sheila</creatorcontrib><creatorcontrib>Greenlee, Robert T.</creatorcontrib><creatorcontrib>Stout, Natasha K.</creatorcontrib><creatorcontrib>Rahm, Alanna Kulchak</creatorcontrib><creatorcontrib>Alber, Susan A.</creatorcontrib><creatorcontrib>Pequeno, Priscila</creatorcontrib><creatorcontrib>Moy, Lisa M.</creatorcontrib><creatorcontrib>Stewart, Carly</creatorcontrib><creatorcontrib>Fong, Cindy</creatorcontrib><creatorcontrib>Jenkins, Charisma L.</creatorcontrib><creatorcontrib>Kohnhorst, Diane</creatorcontrib><creatorcontrib>Luce, Casey</creatorcontrib><creatorcontrib>Mor, Joanne M.</creatorcontrib><creatorcontrib>Munneke, Julie R.</creatorcontrib><creatorcontrib>Prado, Yolanda</creatorcontrib><creatorcontrib>Buth, Glen</creatorcontrib><creatorcontrib>Cheng, Stephanie Y.</creatorcontrib><creatorcontrib>Deosaransingh, Kamala A.</creatorcontrib><creatorcontrib>Francisco, Melanie</creatorcontrib><creatorcontrib>Lakoma, Matthew</creatorcontrib><creatorcontrib>Martinez, Yannica Theda</creatorcontrib><creatorcontrib>Theis, Mary Kay</creatorcontrib><creatorcontrib>Marlow, Emily C.</creatorcontrib><creatorcontrib>Kushi, Lawrence H.</creatorcontrib><creatorcontrib>Duncan, James R.</creatorcontrib><creatorcontrib>Bolch, Wesley E.</creatorcontrib><creatorcontrib>Pole, Jason D.</creatorcontrib><creatorcontrib>Smith-Bindman, Rebecca</creatorcontrib><title>Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile</title><title>Cancer causes & control</title><addtitle>Cancer Causes Control</addtitle><addtitle>Cancer Causes Control</addtitle><description>Purpose
The Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study is quantifying the association between cumulative radiation exposure from fetal and/or childhood medical imaging and subsequent cancer risk. This manuscript describes the study cohorts and research methods.
Methods
The RIC Study is a longitudinal study of children in two retrospective cohorts from 6 U.S. healthcare systems and from Ontario, Canada over the period 1995–2017. The fetal-exposure cohort includes children whose mothers were enrolled in the healthcare system during their entire pregnancy and followed to age 20. The childhood-exposure cohort includes children born into the system and followed while continuously enrolled. Imaging utilization was determined using administrative data. Computed tomography (CT) parameters were collected to estimate individualized patient organ dosimetry. Organ dose libraries for average exposures were constructed for radiography, fluoroscopy, and angiography, while diagnostic radiopharmaceutical biokinetic models were applied to estimate organ doses received in nuclear medicine procedures. Cancers were ascertained from local and state/provincial cancer registry linkages.
Results
The fetal-exposure cohort includes 3,474,000 children among whom 6,606 cancers (2394 leukemias) were diagnosed over 37,659,582 person-years; 0.5% had in utero exposure to CT, 4.0% radiography, 0.5% fluoroscopy, 0.04% angiography, 0.2% nuclear medicine. The childhood-exposure cohort includes 3,724,632 children in whom 6,358 cancers (2,372 leukemias) were diagnosed over 36,190,027 person-years; 5.9% were exposed to CT, 61.1% radiography, 6.0% fluoroscopy, 0.4% angiography, 1.5% nuclear medicine.
Conclusion
The RIC Study is poised to be the largest study addressing risk of childhood and adolescent cancer associated with ionizing radiation from medical imaging, estimated with individualized patient organ dosimetry.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Angiography</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Child</subject><subject>Children</subject><subject>Cohort analysis</subject><subject>Computed tomography</subject><subject>Dosimeters</subject><subject>Dosimetry</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fetuses</subject><subject>Fluoroscopy</subject><subject>Health care</subject><subject>Health risks</subject><subject>Hematology</subject><subject>Humans</subject><subject>Intrauterine exposure</subject><subject>Ionizing radiation</subject><subject>Leukemia</subject><subject>Longitudinal Studies</subject><subject>Medical electronics</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Nuclear medicine</subject><subject>Oncology</subject><subject>Ontario - epidemiology</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Pharmaceuticals</subject><subject>Pregnancy</subject><subject>Prenatal exposure</subject><subject>Public Health</subject><subject>Radiation</subject><subject>Radiation effects</subject><subject>Radiochemistry</subject><subject>Radiography</subject><subject>Radioisotopes</subject><subject>Research methodology</subject><subject>Research methods</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Teenagers</subject><subject>Young Adult</subject><issn>0957-5243</issn><issn>1573-7225</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kstu1DAUhi1ERYfCC7BAltiURYrvwSyQRiOgI7UCSveWazsTl4w92A4wfTPeDk8zlMuCRZRY5_N3co5-AJ5gdIIRal9kjDgnDSL1wZyL5uYemGHe0qYlhN8HMyR523DC6CF4mPM1QogLgh6AQ8oxalvCZuDHx1GH4rutDytodDAuweTzZ9iluIbu-ybmMbkMS4RrZ73RA_RrvdrRPsDSO3ixo2MHP9SyLskbqIOFcxsHl40LBS4m6zznaCrhLPzmSw_P97rlXnd8sVw8h5_KaLevYG3pdDJ9bVr6aPOt08Q-pgI3KXZ-cI_AQaeH7B7v30fg8u2by8Vpc_b-3XIxP2sMa1lppBWG0PrtOsR4i2U94CtDBUW4E4xzKhETBHcSa2NbyTgmhAnM7UuCraNH4PWk3YxXdQO7iZIe1CbVNaStitqrvyvB92oVvyrJpaCMV8HxXpDil9Hlota-LmYYdHBxzIoIwiSnTNCKPvsHvY5jCnW6SnGEkSSEVIpMlEkx5-S6u5_BSO2CoaZgqBoMdRsMdVMvPf1zjLsrv5JQAToBuZbCyqXfvf-j_Qn0RsY8</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Kwan, Marilyn L.</creator><creator>Miglioretti, Diana L.</creator><creator>Bowles, Erin J. 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A. ; Weinmann, Sheila ; Greenlee, Robert T. ; Stout, Natasha K. ; Rahm, Alanna Kulchak ; Alber, Susan A. ; Pequeno, Priscila ; Moy, Lisa M. ; Stewart, Carly ; Fong, Cindy ; Jenkins, Charisma L. ; Kohnhorst, Diane ; Luce, Casey ; Mor, Joanne M. ; Munneke, Julie R. ; Prado, Yolanda ; Buth, Glen ; Cheng, Stephanie Y. ; Deosaransingh, Kamala A. ; Francisco, Melanie ; Lakoma, Matthew ; Martinez, Yannica Theda ; Theis, Mary Kay ; Marlow, Emily C. ; Kushi, Lawrence H. ; Duncan, James R. ; Bolch, Wesley E. ; Pole, Jason D. ; Smith-Bindman, Rebecca</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-9d6c23c47ef04571923c1bc36301f64553904621f91acd79451224615d821de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>Angiography</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Child</topic><topic>Children</topic><topic>Cohort analysis</topic><topic>Computed tomography</topic><topic>Dosimeters</topic><topic>Dosimetry</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fetuses</topic><topic>Fluoroscopy</topic><topic>Health care</topic><topic>Health risks</topic><topic>Hematology</topic><topic>Humans</topic><topic>Intrauterine exposure</topic><topic>Ionizing radiation</topic><topic>Leukemia</topic><topic>Longitudinal Studies</topic><topic>Medical electronics</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Nuclear medicine</topic><topic>Oncology</topic><topic>Ontario - epidemiology</topic><topic>Original Paper</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Pharmaceuticals</topic><topic>Pregnancy</topic><topic>Prenatal exposure</topic><topic>Public Health</topic><topic>Radiation</topic><topic>Radiation effects</topic><topic>Radiochemistry</topic><topic>Radiography</topic><topic>Radioisotopes</topic><topic>Research methodology</topic><topic>Research methods</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Teenagers</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kwan, Marilyn L.</creatorcontrib><creatorcontrib>Miglioretti, Diana L.</creatorcontrib><creatorcontrib>Bowles, Erin J. 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A.</au><au>Weinmann, Sheila</au><au>Greenlee, Robert T.</au><au>Stout, Natasha K.</au><au>Rahm, Alanna Kulchak</au><au>Alber, Susan A.</au><au>Pequeno, Priscila</au><au>Moy, Lisa M.</au><au>Stewart, Carly</au><au>Fong, Cindy</au><au>Jenkins, Charisma L.</au><au>Kohnhorst, Diane</au><au>Luce, Casey</au><au>Mor, Joanne M.</au><au>Munneke, Julie R.</au><au>Prado, Yolanda</au><au>Buth, Glen</au><au>Cheng, Stephanie Y.</au><au>Deosaransingh, Kamala A.</au><au>Francisco, Melanie</au><au>Lakoma, Matthew</au><au>Martinez, Yannica Theda</au><au>Theis, Mary Kay</au><au>Marlow, Emily C.</au><au>Kushi, Lawrence H.</au><au>Duncan, James R.</au><au>Bolch, Wesley E.</au><au>Pole, Jason D.</au><au>Smith-Bindman, Rebecca</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile</atitle><jtitle>Cancer causes & control</jtitle><stitle>Cancer Causes Control</stitle><addtitle>Cancer Causes Control</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>33</volume><issue>5</issue><spage>711</spage><epage>726</epage><pages>711-726</pages><issn>0957-5243</issn><eissn>1573-7225</eissn><abstract>Purpose
The Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study is quantifying the association between cumulative radiation exposure from fetal and/or childhood medical imaging and subsequent cancer risk. This manuscript describes the study cohorts and research methods.
Methods
The RIC Study is a longitudinal study of children in two retrospective cohorts from 6 U.S. healthcare systems and from Ontario, Canada over the period 1995–2017. The fetal-exposure cohort includes children whose mothers were enrolled in the healthcare system during their entire pregnancy and followed to age 20. The childhood-exposure cohort includes children born into the system and followed while continuously enrolled. Imaging utilization was determined using administrative data. Computed tomography (CT) parameters were collected to estimate individualized patient organ dosimetry. Organ dose libraries for average exposures were constructed for radiography, fluoroscopy, and angiography, while diagnostic radiopharmaceutical biokinetic models were applied to estimate organ doses received in nuclear medicine procedures. Cancers were ascertained from local and state/provincial cancer registry linkages.
Results
The fetal-exposure cohort includes 3,474,000 children among whom 6,606 cancers (2394 leukemias) were diagnosed over 37,659,582 person-years; 0.5% had in utero exposure to CT, 4.0% radiography, 0.5% fluoroscopy, 0.04% angiography, 0.2% nuclear medicine. The childhood-exposure cohort includes 3,724,632 children in whom 6,358 cancers (2,372 leukemias) were diagnosed over 36,190,027 person-years; 5.9% were exposed to CT, 61.1% radiography, 6.0% fluoroscopy, 0.4% angiography, 1.5% nuclear medicine.
Conclusion
The RIC Study is poised to be the largest study addressing risk of childhood and adolescent cancer associated with ionizing radiation from medical imaging, estimated with individualized patient organ dosimetry.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35107724</pmid><doi>10.1007/s10552-022-01556-z</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-8863-3950</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0957-5243 |
| ispartof | Cancer causes & control, 2022-05, Vol.33 (5), p.711-726 |
| issn | 0957-5243 1573-7225 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9596345 |
| source | MEDLINE; Springer Journals |
| subjects | Adolescent Adolescents Adult Angiography Biomedical and Life Sciences Biomedicine Cancer Cancer Research Child Children Cohort analysis Computed tomography Dosimeters Dosimetry Epidemiology Female Fetuses Fluoroscopy Health care Health risks Hematology Humans Intrauterine exposure Ionizing radiation Leukemia Longitudinal Studies Medical electronics Medical imaging Medical research Medicine Nuclear medicine Oncology Ontario - epidemiology Original Paper Patients Pediatrics Pharmaceuticals Pregnancy Prenatal exposure Public Health Radiation Radiation effects Radiochemistry Radiography Radioisotopes Research methodology Research methods Retrospective Studies Risk Teenagers Young Adult |
| title | Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile |
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