Simon Steven L, Weinstock Robert M, Doody Michele Morin, Preston Dale L, Kwon Deukwoo, Alexander Bruce H, Miller Jeremy S, Yoder R Craig, Bhatti Parveen, Sigurdson Alice J, Linet Martha S
a Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Radiat Res. 2010 May 17. doi: 10.1667/RR2069.1.
Abstract In this paper, we describe recent methodological enhancements and findings from the dose reconstruction component of a study of cancer risks among U.S. radiologic technologists. An earlier version of the dosimetry published in 2006 (Simon et al., Radiat. Res. 166, 174-192, 2006) used physical and statistical models, literature-reported exposure measurements for the years before 1960, and archival personnel monitoring badge data from cohort members through 1984. The data and models were used to estimate unknown occupational radiation doses for 90,000 radiological technologists, incorporating information about each individual's employment practices based on a survey conducted in the mid-1980s. The dosimetry methods presented here, while using many of the same methods as before, now estimate annual and cumulative occupational badge doses (personal dose equivalent) to about 110,000 technologists for each year worked from 1916 to 2006, but with numerous methodological improvements. This dosimetry, using much more comprehensive information on individual use of protection aprons, estimates radiation absorbed doses to 12 organs and tissues (red bone marrow, ovary, colon, brain, lung, heart, female breast, skin of trunk, skin of head and neck and arms, testes, thyroid and lens of the eye). Every technologist's annual dose is estimated as a probability density function (pdf) to account for shared and unshared uncertainties. Major improvements in the dosimetry methods include a substantial increase in the number of cohort member annual badge dose measurements, additional information on individual apron use obtained from surveys conducted in the 1990s and 2005, refined modeling to develop annual badge dose pdfs using Tobit regression, refinements of cohort-based annual badge pdfs to delineate exposures of highly and minimally exposed individuals and to assess minimal detectable limits more accurately, and extensive refinements in organ dose conversion coefficients to account for uncertainties in radiographic techniques employed. For organ dose estimation, we rely on well-researched assumptions about critical exposure-related variables and their changes over the decades, including the peak kilovoltage and filtration typically used in conducting radiographic examinations and the usual body location for wearing radiation monitoring badges. We have derived organ dose conversion coefficients based on air-kerma weighting of photon fluences from published X-ray spectra and derived energy-dependent transmission factors for protective aprons of different thicknesses. We tailor bone marrow dose estimates to individual cohort members by using an individual-specific body mass index correction factor. To our knowledge the models and reconstructed doses presented herein represent the most comprehensive dose reconstructions undertaken for a cohort of medical radiation workers.
摘要 在本文中,我们描述了美国放射技师癌症风险研究中剂量重建部分的近期方法改进和研究结果。2006年发表的剂量测定法的早期版本(Simon等人,《辐射研究》166, 174 - 192, 2006)使用了物理和统计模型、1960年以前文献报道的暴露测量数据,以及截至1984年队列成员的档案人员监测徽章数据。这些数据和模型用于估计90,000名放射技师未知的职业辐射剂量,纳入了基于20世纪80年代中期一项调查的每个个体的就业实践信息。这里介绍的剂量测定方法,虽然使用了许多与以前相同的方法,但现在估计了1916年至2006年期间每年工作的约110,000名技师的年度和累积职业徽章剂量(个人剂量当量),不过在方法上有许多改进。这种剂量测定法使用了关于个人防护围裙使用的更全面信息,估计了12个器官和组织(红骨髓、卵巢、结肠、脑、肺、心脏、女性乳房、躯干皮肤、头颈部和手臂皮肤、睾丸、甲状腺和眼球晶状体)的辐射吸收剂量。每个技师的年度剂量被估计为概率密度函数(pdf),以考虑共同和非共同的不确定性。剂量测定方法的主要改进包括队列成员年度徽章剂量测量数量的大幅增加、从20世纪90年代和2005年进行的调查中获得的关于个人围裙使用的额外信息、使用Tobit回归开发年度徽章剂量pdf的精细建模、基于队列的年度徽章pdf的改进,以描绘高暴露和低暴露个体的暴露情况并更准确地评估最小可检测限,以及器官剂量转换系数的广泛改进,以考虑所采用的放射学技术中的不确定性。对于器官剂量估计,我们依赖于对关键暴露相关变量及其在几十年间变化的充分研究假设,包括进行放射学检查时通常使用的峰值千伏和过滤,以及佩戴辐射监测徽章的通常身体位置。我们根据已发表的X射线光谱中光子注量的空气比释动能加权以及不同厚度防护围裙的能量相关传输因子,推导出了器官剂量转换系数。我们通过使用个体特异性体重指数校正因子,为个体队列成员量身定制骨髓剂量估计。据我们所知,本文中提出的模型和重建剂量代表了对一组医学辐射工作者进行的最全面的剂量重建。