Truta L A, Hofmann W, Cosma C
Environmental Radioactivity and Nuclear Dating Center, Babes-Bolyai University, Fantanele Str. 30, Cluj-Napoca 400294, Romania
Division of Physics and Biophysics, Department of Materials Research and Physics, University of Salzburg, Hellbrunner Str. 34, Salzburg 5020, Austria.
Radiat Prot Dosimetry. 2014 Jul;160(1-3):112-6. doi: 10.1093/rpd/ncu062. Epub 2014 Apr 20.
Epidemiological studies proved that cumulative exposure to radon is the second leading cause of lung cancer, the world's most common cancer. The objectives of the present study are (i) to analyse lung cancer risk for chronic, low radon exposures based on the transformation frequency-tissue response (TF-TR) model formulated in terms of alpha particle hits in cell nuclei; (ii) to assess the percentage of attributable lung cancers in six areas of Transylvania where the radon concentration was measured and (iii) to point out the most efficient remediation measures tested on a pilot house in Stei, Romania. Simulations performed with the TF-TR model exhibit a linear dose-effect relationship for chronic, residential radon exposures. The fraction of lung cancer cases attributed to radon ranged from 9 to 28% for the investigated areas. Model predictions may represent a useful tool to complement epidemiological studies on lung cancer risk and to establish reasonable radiation protection regulations for human safety.
流行病学研究证明，氡的累积暴露是肺癌的第二大主要病因，肺癌是全球最常见的癌症。本研究的目的是：（i）基于根据细胞核中α粒子撞击情况制定的转化频率-组织反应（TF-TR）模型，分析慢性低氡暴露的肺癌风险；（ii）评估特兰西瓦尼亚六个测量了氡浓度的地区归因于氡的肺癌百分比；（iii）指出在罗马尼亚施泰的一所试点房屋上测试的最有效的修复措施。使用TF-TR模型进行的模拟显示，对于慢性住宅氡暴露，存在线性剂量效应关系。在所调查的地区，归因于氡的肺癌病例比例在9%至28%之间。模型预测可能是一种有用的工具，可补充关于肺癌风险的流行病学研究，并为保障人类安全制定合理的辐射防护法规。
