Pawel David, Boyd Michael
J Radiol Prot. 2019 May 14;39(4):S40-S57. doi: 10.1088/1361-6498/ab2197.
In 1970, the US Environmental Protection Agency (EPA) was given the responsibility to provide guidance to other federal agencies in the formulation of radiation protection standards. To carry out its federal guidance responsibilities and protect human health, the EPA must estimate risk at low doses to limit the risk of radiogenic cancers from environmental exposures. These risk estimates are based on models which conform to the linear no threshold (LNT) hypothesis. A cancer risk model conforms to the LNT hypothesis if the excess risk of cancer at low doses increases approximately proportional to dose, with no threshold. Risk models with a linear-quadratic dose response can satisfy the LNT hypothesis. Based on careful review of evidence from epidemiological and radiobiological studies, authoritative scientific bodies have repeatedly endorsed the use of LNT models for estimating and regulating risk and concluded that despite uncertainties at low dose and dose rates, the LNT model remains the most practical and implementable model for radiation protection. This article describes the rationale underlying the use of LNT models for calculating risk for low dose and dose rate exposures and discusses some of the epidemiological evidence which inform on its continued use.
1970年,美国环境保护局(EPA)被赋予向其他联邦机构提供辐射防护标准制定指导的职责。为履行其联邦指导职责并保护人类健康,EPA必须估算低剂量辐射风险,以限制环境暴露导致的辐射致癌风险。这些风险估算是基于符合线性无阈(LNT)假说的模型得出的。如果低剂量时癌症的超额风险随剂量近似成比例增加且无阈值,则癌症风险模型符合LNT假说。具有线性-二次剂量反应的风险模型可以满足LNT假说。基于对流行病学和放射生物学研究证据的仔细审查,权威科学机构多次认可使用LNT模型来估算和管理风险,并得出结论,尽管在低剂量和低剂量率下存在不确定性,但LNT模型仍然是辐射防护最实用且可实施的模型。本文描述了使用LNT模型计算低剂量和低剂量率暴露风险的基本原理,并讨论了一些支持其继续使用的流行病学证据。