Dose conversion in retrospective dosimetry: Results and implications from an inter-laboratory comparison featuring a realistic exposure scenario

IF 1.6 3区 物理与天体物理 Q2 NUCLEAR SCIENCE & TECHNOLOGY Radiation Measurements Pub Date : 2024-10-09 DOI:10.1016/j.radmeas.2024.107307
Jonathan Eakins , Michael Discher , Hyoungtaek Kim , Min Chae Kim , Hanjin Lee , Jungil Lee , Olivier Van Hoey , Hyungjoon Yu , Elizabeth Ainsbury , Céline Bassinet , Stephen McKeever , Sergey Sholom , Francois Trompier , Lovisa Waldner , Clemens Woda
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Abstract

Dose conversion coefficients attempt to harmonize the material-, location-, and exposure-dependent results from retrospective dosemeters. The issues and uncertainties arising from dose conversion are explored within the framework of an interlaboratory comparison exercise in which mobile phones were positioned around anthropomorphic phantoms and exposed to non-uniform photon fields, with the glass and resistors they contain employed as fortuitous dosemeters. The difficulties of adopting pre-calculated tables of generic conversion coefficients are evaluated first, and then compared against those arising through the use of bespoke data derived by Monte Carlo modelling, and also against not converting the doses measured by the phones. It is seen that the different subjective choices that users might make when selecting ‘optimal’ generic data can lead to a significant source of uncertainty (up to around 70 %), though may be improved (to around 30 %) by appropriate quality controls. Use of generic coefficients typically led to over-estimates of the organ doses: an average discrepancy of ca. a factor of 2 was found, but this is still better than the factor of around 3 observed when no conversion coefficients were applied. Use of bespoke conversion factors led to the best estimates of organ doses, although they still over-estimated by approximately 1.5 on average, and an uncertainty of around 20 % was associated with generating their values. Overall, applying bespoke conversion data improves but does not guarantee correct dose categorization of individuals, with the inconsistences in the measured results found generally to be the limiting factor in obtaining accurate dose assessments.
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回顾性剂量测定中的剂量转换:以真实暴露场景为特点的实验室间比较的结果和影响
剂量换算系数试图协调来自回顾性剂量计的与材料、位置和照射有关的结果。我们在实验室间比较活动的框架内探讨了剂量换算引起的问题和不确定性,在该活动中,移动电话被放置在拟人模型周围,暴露在非均匀光子场中,其中的玻璃和电阻被用作偶然剂量计。首先评估了采用预先计算的通用换算系数表的困难,然后将其与使用蒙特卡洛模型得出的定制数据以及不换算手机测量的剂量所产生的困难进行比较。结果表明,用户在选择 "最佳 "通用数据时可能会做出不同的主观选择,这会导致很大的不确定性(高达约 70%),但通过适当的质量控制可以改善(约 30%)。使用通用系数通常会导致器官剂量估计过高:平均差异约为 2 倍,但仍好于未使用换算系数时的 3 倍左右。使用定制的换算系数可得出器官剂量的最佳估计值,但平均仍高估了约 1.5 倍,而且在生成其值时存在约 20% 的不确定性。总体而言,应用定制的换算数据可以改善但不能保证对个体进行正确的剂量分类,测量结果的不一致性通常被认为是获得准确剂量评估的限制因素。
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来源期刊
Radiation Measurements
Radiation Measurements 工程技术-核科学技术
CiteScore
4.10
自引率
20.00%
发文量
116
审稿时长
48 days
期刊介绍: The journal seeks to publish papers that present advances in the following areas: spontaneous and stimulated luminescence (including scintillating materials, thermoluminescence, and optically stimulated luminescence); electron spin resonance of natural and synthetic materials; the physics, design and performance of radiation measurements (including computational modelling such as electronic transport simulations); the novel basic aspects of radiation measurement in medical physics. Studies of energy-transfer phenomena, track physics and microdosimetry are also of interest to the journal. Applications relevant to the journal, particularly where they present novel detection techniques, novel analytical approaches or novel materials, include: personal dosimetry (including dosimetric quantities, active/electronic and passive monitoring techniques for photon, neutron and charged-particle exposures); environmental dosimetry (including methodological advances and predictive models related to radon, but generally excluding local survey results of radon where the main aim is to establish the radiation risk to populations); cosmic and high-energy radiation measurements (including dosimetry, space radiation effects, and single event upsets); dosimetry-based archaeological and Quaternary dating; dosimetry-based approaches to thermochronometry; accident and retrospective dosimetry (including activation detectors), and dosimetry and measurements related to medical applications.
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