Literature DB >> 22228685

Development of a database of organ doses for paediatric and young adult CT scans in the United Kingdom.

K P Kim1, A Berrington de González, M S Pearce, J A Salotti, L Parker, K McHugh, A W Craft, C Lee.   

Abstract

Despite great potential benefits, there are concerns about the possible harm from medical imaging including the risk of radiation-related cancer. There are particular concerns about computed tomography (CT) scans in children because both radiation dose and sensitivity to radiation for children are typically higher than for adults undergoing equivalent procedures. As direct empirical data on the cancer risks from CT scans are lacking, the authors are conducting a retrospective cohort study of over 240,000 children in the UK who underwent CT scans. The main objective of the study is to quantify the magnitude of the cancer risk in relation to the radiation dose from CT scans. In this paper, the methods used to estimate typical organ-specific doses delivered by CT scans to children are described. An organ dose database from Monte Carlo radiation transport-based computer simulations using a series of computational human phantoms from newborn to adults for both male and female was established. Organ doses vary with patient size and sex, examination types and CT technical settings. Therefore, information on patient age, sex and examination type from electronic radiology information systems and technical settings obtained from two national surveys in the UK were used to estimate radiation dose. Absorbed doses to the brain, thyroid, breast and red bone marrow were calculated for reference male and female individuals with the ages of newborns, 1, 5, 10, 15 and 20 y for a total of 17 different scan types in the pre- and post-2001 time periods. In general, estimated organ doses were slightly higher for females than males which might be attributed to the smaller body size of the females. The younger children received higher doses in pre-2001 period when adult CT settings were typically used for children. Paediatric-specific adjustments were assumed to be used more frequently after 2001, since then radiation doses to children have often been smaller than those to adults. The database here is the first detailed organ-specific paediatric CT scan database for the UK. As well as forming the basis for the UK study, the results and description of the methods will also serve as a key resource for paediatric CT scan studies currently underway in other countries.

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Year:  2012        PMID: 22228685      PMCID: PMC3400529          DOI: 10.1093/rpd/ncr429

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  20 in total

1.  Taking care of children: check out the parameters used for helical CT.

Authors:  L F Rogers
Journal:  AJR Am J Roentgenol       Date:  2001-02       Impact factor: 3.959

2.  A Monte Carlo-based method to estimate radiation dose from spiral CT: from phantom testing to patient-specific models.

Authors:  G Jarry; J J DeMarco; U Beifuss; C H Cagnon; M F McNitt-Gray
Journal:  Phys Med Biol       Date:  2003-08-21       Impact factor: 3.609

Review 3.  Effective doses in radiology and diagnostic nuclear medicine: a catalog.

Authors:  Fred A Mettler; Walter Huda; Terry T Yoshizumi; Mahadevappa Mahesh
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

4.  Helical CT of the body: are settings adjusted for pediatric patients?

Authors:  A Paterson; D P Frush; L F Donnelly
Journal:  AJR Am J Roentgenol       Date:  2001-02       Impact factor: 3.959

5.  [CT-expo--a novel program for dose evaluation in CT].

Authors:  G Stamm; H D Nagel
Journal:  Rofo       Date:  2002-12

6.  Human alimentary tract model for radiological protection. ICRP Publication 100. A report of The International Commission on Radiological Protection.

Authors: 
Journal:  Ann ICRP       Date:  2006

7.  CT scans in young people in Northern England: trends and patterns 1993-2002.

Authors:  Mark S Pearce; Jane A Salotti; Kieran McHugh; Wenhua Metcalf; Kwang P Kim; Alan W Craft; Louise Parker; Elaine Ron
Journal:  Pediatr Radiol       Date:  2011-05-19

Review 8.  Computational anthropomorphic models of the human anatomy: the path to realistic Monte Carlo modeling in radiological sciences.

Authors:  Habib Zaidi; Xie George Xu
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

9.  Helical CT of the body: a survey of techniques used for pediatric patients.

Authors:  Caroline Hollingsworth; Donald P Frush; Mark Cross; Javier Lucaya
Journal:  AJR Am J Roentgenol       Date:  2003-02       Impact factor: 3.959

10.  Pediatric body MDCT: a 5-year follow-up survey of scanning parameters used by pediatric radiologists.

Authors:  Michael E Arch; Donald P Frush
Journal:  AJR Am J Roentgenol       Date:  2008-08       Impact factor: 3.959

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  23 in total

Review 1.  A New Era of Low-Dose Radiation Epidemiology.

Authors:  Cari M Kitahara; Martha S Linet; Preetha Rajaraman; Estelle Ntowe; Amy Berrington de González
Journal:  Curr Environ Health Rep       Date:  2015-09

2.  ORGAN DOSE ESTIMATION ACCOUNTING FOR UNCERTAINTY FOR PEDIATRIC AND YOUNG ADULT CT SCANS IN THE UNITED KINGDOM.

Authors:  Choonsik Lee; Neige Journy; Brian E Moroz; Mark Little; Richard Harbron; Kieran McHugh; Mark Pearce; Amy Berrington de Gonzalez
Journal:  Radiat Prot Dosimetry       Date:  2019-07-01       Impact factor: 0.972

3.  Risk of cancer incidence before the age of 15 years after exposure to ionising radiation from computed tomography: results from a German cohort study.

Authors:  L Krille; S Dreger; R Schindel; T Albrecht; M Asmussen; J Barkhausen; J D Berthold; A Chavan; C Claussen; M Forsting; E A L Gianicolo; K Jablonka; A Jahnen; M Langer; M Laniado; J Lotz; H J Mentzel; A Queißer-Wahrendorf; O Rompel; I Schlick; K Schneider; M Schumacher; M Seidenbusch; C Spix; B Spors; G Staatz; T Vogl; J Wagner; G Weisser; H Zeeb; M Blettner
Journal:  Radiat Environ Biophys       Date:  2015-01-08       Impact factor: 1.925

4.  Frequency of paediatric medical imaging examinations performed at a European teaching hospital over a 7-year period.

Authors:  Jonathan L Portelli; Jonathan P McNulty; Paul Bezzina; Louise Rainford
Journal:  Eur Radiol       Date:  2016-03-24       Impact factor: 5.315

5.  Computed Tomography in Germany.

Authors:  Roman Pokora; Lucian Krille; Steffen Dreger; Choonsik Lee; Christian Günster; Hajo Zeeb; Maria Blettner
Journal:  Dtsch Arztebl Int       Date:  2016-10-28       Impact factor: 5.594

Review 6.  Current knowledge on tumour induction by computed tomography should be carefully used.

Authors:  Cristian Candela-Juan; Alegría Montoro; Enrique Ruiz-Martínez; Juan Ignacio Villaescusa; Luis Martí-Bonmatí
Journal:  Eur Radiol       Date:  2013-11-27       Impact factor: 5.315

7.  A NOVEL METHOD TO ESTIMATE LYMPHOCYTE DOSE AND APPLICATION TO PEDIATRIC AND YOUNG ADULT CT PATIENTS IN THE UNITED KINGDOM.

Authors:  Choonsik Lee; Lindsay M Morton; Amy Berrington de González
Journal:  Radiat Prot Dosimetry       Date:  2018-01-01       Impact factor: 0.972

Review 8.  Strengths and Weaknesses of Dosimetry Used in Studies of Low-Dose Radiation Exposure and Cancer.

Authors:  Robert D Daniels; Gerald M Kendall; Isabelle Thierry-Chef; Martha S Linet; Harry M Cullings
Journal:  J Natl Cancer Inst Monogr       Date:  2020-07-01

9.  Automatic Mapping of CT Scan Locations on Computational Human Phantoms for Organ Dose Estimation.

Authors:  Choonsik Lee; Gleb A Kuzmin; Jinyong Bae; Jianhua Yao; Elizabeth Mosher; Les R Folio
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

10.  Radiation Exposure From Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands.

Authors:  Johanna M Meulepas; Cécile M Ronckers; Anne M J B Smets; Rutger A J Nievelstein; Patrycja Gradowska; Choonsik Lee; Andreas Jahnen; Marcel van Straten; Marie-Claire Y de Wit; Bernard Zonnenberg; Willemijn M Klein; Johannes H Merks; Otto Visser; Flora E van Leeuwen; Michael Hauptmann
Journal:  J Natl Cancer Inst       Date:  2019-03-01       Impact factor: 13.506

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