November 28, 2019 Journal article Open Access

Schöllnberger, Helmut; Kaiser, Jan Christian; Eidemüller, Markus; Zablotska, Lydia B

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="a">2020-11-28</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Ionizing radiation</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Ischemic heart disease</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">LNT model</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Multi-model inference</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Nonlinear dose-response</subfield>
  </datafield>
  <controlfield tag="005">20201128002712.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">This work was supported by a project from the Federal Office for Radiation Protection (BfS) (contract no. 3615S42221). The project has also received funding from the Euratom research and training program 2014-2018 under grant agreement No 755523 (MEDIRAD). Dr. Zablotska's work was supported by the National Cancer Institute of the National Institutes of Health (award numbers R03CA188614 and R01CA197422).

This is a post-peer-review, pre-copyedit version of an article published in Radiation and Environmental Biophysics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00411-019-00819-9</subfield>
  </datafield>
  <controlfield tag="001">3878206</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany</subfield>
    <subfield code="0">(orcid)0000-0003-0359-2251</subfield>
    <subfield code="a">Kaiser, Jan Christian</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany</subfield>
    <subfield code="0">(orcid)0000-0003-0249-3710</subfield>
    <subfield code="a">Eidemüller, Markus</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA, 94158, USA</subfield>
    <subfield code="0">(orcid)0000-0002-0778-1108</subfield>
    <subfield code="a">Zablotska,  Lydia B</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">10475602</subfield>
    <subfield code="z">md5:77c6cea22aeff38bd4e940792a7155a5</subfield>
    <subfield code="u">https://zenodo.org/record/3878206/files/IHD_Canadian_Fluoroscopy_Cohort.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-11-28</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:3878206</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="c">63–78</subfield>
    <subfield code="v">59</subfield>
    <subfield code="p">Radiation and Environmental Biophysics</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany; Division UR-Environmental Radioactivity, Federal Office for Radiation Protection, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany</subfield>
    <subfield code="0">(orcid)0000-0002-4398-6565</subfield>
    <subfield code="a">Schöllnberger, Helmut</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Radio-biologically Motivated Modeling of Radiation Risks of Mortality From Ischemic Heart Diseases in the Canadian Fluoroscopy Cohort Study</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">755523</subfield>
    <subfield code="a">Implications of Medical Low Dose Radiation Exposure</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Recent analyses of the Canadian fluoroscopy cohort study reported significantly increased radiation risks of mortality from ischemic heart diseases (IHD) with a linear dose-response adjusted for dose fractionation. This cohort includes 63,707 tuberculosis patients from Canada who were exposed to low-to-moderate dose fractionated X-rays in 1930s-1950s and were followed-up for death from non-cancer causes during 1950-1987. In the current analysis, we scrutinized the assumption of linearity by analyzing a series of radio-biologically motivated nonlinear dose-response models to get a better understanding of the impact of radiation damage on IHD. The models were weighted according to their quality of fit and were then mathematically superposed applying the multi-model inference (MMI) technique. Our results indicated an essentially linear dose-response relationship for IHD mortality at low and medium doses and a supra-linear relationship at higher doses (&amp;gt; 1.5 Gy). At 5 Gy, the estimated radiation risks were fivefold higher compared to the linear no-threshold (LNT) model. This is the largest study of patients exposed to fractionated low-to-moderate doses of radiation. Our analyses confirm previously reported significantly increased radiation risks of IHD from doses similar to those from diagnostic radiation procedures.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1007/s00411-019-00819-9</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">article</subfield>
  </datafield>
</record>