November 28, 2019 Journal article Open Access

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

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    "doi": "10.1007/s00411-019-00819-9", 
    "description": "<p>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 (&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.</p>", 
    "language": "eng", 
    "title": "Radio-biologically Motivated Modeling of Radiation Risks of Mortality From Ischemic Heart Diseases in the Canadian Fluoroscopy Cohort Study", 
    "license": {
      "id": "CC-BY-NC-ND-4.0"
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    "journal": {
      "volume": "59", 
      "pages": "63\u201378", 
      "title": "Radiation and Environmental Biophysics"
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        "title": "Implications of Medical Low Dose Radiation Exposure", 
        "acronym": "MEDIRAD", 
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          "doi": "10.13039/501100000780", 
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    "keywords": [
      "Ionizing radiation", 
      "Ischemic heart disease", 
      "LNT model", 
      "Multi-model inference", 
      "Nonlinear dose-response"
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    "publication_date": "2019-11-28", 
    "creators": [
      {
        "orcid": "0000-0002-4398-6565", 
        "affiliation": "Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum M\u00fcnchen, Ingolst\u00e4dter Landstrasse 1, 85764, Neuherberg, Germany; Division UR-Environmental Radioactivity, Federal Office for Radiation Protection, Ingolst\u00e4dter Landstrasse 1, 85764, Neuherberg, Germany", 
        "name": "Sch\u00f6llnberger, Helmut"
      }, 
      {
        "orcid": "0000-0003-0359-2251", 
        "affiliation": "Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum M\u00fcnchen, Ingolst\u00e4dter Landstrasse 1, 85764, Neuherberg, Germany", 
        "name": "Kaiser, Jan Christian"
      }, 
      {
        "orcid": "0000-0003-0249-3710", 
        "affiliation": "Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum M\u00fcnchen, Ingolst\u00e4dter Landstrasse 1, 85764, Neuherberg, Germany", 
        "name": "Eidem\u00fcller, Markus"
      }, 
      {
        "orcid": "0000-0002-0778-1108", 
        "affiliation": "Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA, 94158, USA", 
        "name": "Zablotska,  Lydia B"
      }
    ], 
    "notes": "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).\n\nThis 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", 
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