Maria Schnelzer, Peter Scholz-Kreisel, Simone Mörtl, Werner Rühm, Michaela Kreuzer, Bastian Breustedt, Florian Gering, Udo Gerstmann, Achim Neuhäuser, Florian Rauser, Inge Paulini
{"title":"The linear no-threshold model in radiation protection-the view of the German Federal Office for radiation protection.","authors":"Maria Schnelzer, Peter Scholz-Kreisel, Simone Mörtl, Werner Rühm, Michaela Kreuzer, Bastian Breustedt, Florian Gering, Udo Gerstmann, Achim Neuhäuser, Florian Rauser, Inge Paulini","doi":"10.1088/1361-6498/ae0136","DOIUrl":null,"url":null,"abstract":"<p><p>Does ionising radiation increase the risk of cancer even at low doses? If so, what is the magnitude of risk at these low doses? This knowledge is a central component of radiation protection. In general, radiation protection relies on the linear no-threshold (LNT) model, which is based on scientific findings. According to the LNT model, the radiation-related risk of cancer decreases proportionally with radiation dose and this applies even down to very low radiation doses. The model provides a straightforward and practical description of the relationship between a radiation dose and the resulting risk of cancer. These assumptions align with the latest radiobiological and radiation epidemiological findings. Therefore, and because of its simplicity, the model is used in radiation protection (e.g. for setting dose limits). The LNT model offers a plausible basis for prudent decision- making in radiation protection. However, it does not represent a universally valid description of the relationship between ionising radiation and specific biological mechanisms of carcinogenesis. This memorandum summarises the position of the Federal Office for Radiation Protection, Germany, on the use of the LNT model in radiation protection.</p>","PeriodicalId":50068,"journal":{"name":"Journal of Radiological Protection","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiological Protection","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1088/1361-6498/ae0136","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Does ionising radiation increase the risk of cancer even at low doses? If so, what is the magnitude of risk at these low doses? This knowledge is a central component of radiation protection. In general, radiation protection relies on the linear no-threshold (LNT) model, which is based on scientific findings. According to the LNT model, the radiation-related risk of cancer decreases proportionally with radiation dose and this applies even down to very low radiation doses. The model provides a straightforward and practical description of the relationship between a radiation dose and the resulting risk of cancer. These assumptions align with the latest radiobiological and radiation epidemiological findings. Therefore, and because of its simplicity, the model is used in radiation protection (e.g. for setting dose limits). The LNT model offers a plausible basis for prudent decision- making in radiation protection. However, it does not represent a universally valid description of the relationship between ionising radiation and specific biological mechanisms of carcinogenesis. This memorandum summarises the position of the Federal Office for Radiation Protection, Germany, on the use of the LNT model in radiation protection.
期刊介绍:
Journal of Radiological Protection publishes articles on all aspects of radiological protection, including non-ionising as well as ionising radiations. Fields of interest range from research, development and theory to operational matters, education and training. The very wide spectrum of its topics includes: dosimetry, instrument development, specialized measuring techniques, epidemiology, biological effects (in vivo and in vitro) and risk and environmental impact assessments.
The journal encourages publication of data and code as well as results.