Department of Animal Biology, Plant Biology and Ecology (BABVE), Universitat Autònoma de Barcelona, Bellaterra, Spain.
Department of Effects and Risks of Ionising and Non-Ionising Radiation, Federal Office for Radiation Protection, Neuherberg, Germany.
Int J Radiat Biol. 2023;99(9):1378-1390. doi: 10.1080/09553002.2023.2176564. Epub 2023 Feb 7.
In the event of a radiological accident or incident, the aim of biological dosimetry is to convert the yield of a specific biomarker of exposure to ionizing radiation into an absorbed dose. Since the 1980s, various tools have been used to deal with the statistical procedures needed for biological dosimetry, and in general those who made several calculations for different biomarkers were based on closed source software. Here we present a new open source program, Biodose Tools, that has been developed under the umbrella of RENEB (Running the European Network of Biological and retrospective Physical dosimetry).
The application has been developed using the R programming language and the shiny package as a framework to create a user-friendly online solution. Since no unique method exists for the different mathematical processes, several meetings and periodic correspondence were held in order to reach a consensus on the solutions to be implemented.
The current version 3.6.1 supports dose-effect fitting for dicentric and translocation assay. For dose estimation Biodose Tools implements those methods indicated in international guidelines and a specific method to assess heterogeneous exposures. The app can include information on the irradiation conditions to generate the calibration curve. Also, in the dose estimate, information about the accident can be included as well as the explanation of the results obtained. Because the app allows generating a report in various formats, it allows traceability of each biological dosimetry study carried out. The app has been used globally in different exercises and training, which has made it possible to find errors and improve the app itself. There are some features that still need consensus, such as curve fitting and dose estimation using micronucleus analysis. It is also planned to include a package dedicated to interlaboratory comparisons and the incorporation of Bayesian methods for dose estimation.
Biodose Tools provides an open-source solution for biological dosimetry laboratories. The consensus reached helps to harmonize the way in which uncertainties are calculated. In addition, because each laboratory can download and customize the app's source code, it offers a platform to integrate new features.
在放射性事故或事件发生的情况下，生物剂量学的目的是将暴露于电离辐射的特定生物标志物的产量转换为吸收剂量。自 20 世纪 80 年代以来，已经使用了各种工具来处理生物剂量学所需的统计程序，并且通常那些为不同的生物标志物进行了多次计算的人都是基于闭源软件。在这里，我们提出了一个新的开源程序，Biodose Tools，它是在 RENEB（运行欧洲生物和回顾性物理剂量学网络）的保护伞下开发的。
该应用程序是使用 R 编程语言和 shiny 包作为框架开发的，以创建一个用户友好的在线解决方案。由于不存在用于不同数学过程的独特方法，因此举行了几次会议和定期通信，以便就将要实施的解决方案达成共识。
当前版本 3.6.1 支持双着丝粒和易位测定的剂量-效应拟合。对于剂量估计，Biodose Tools 实现了国际指南中指示的方法以及一种评估不均匀暴露的特定方法。该应用程序可以包括有关照射条件的信息以生成校准曲线。此外，在剂量估计中，可以包括有关事故的信息以及对所获得结果的解释。由于该应用程序允许以各种格式生成报告，因此允许跟踪所进行的每个生物剂量学研究。该应用程序已在全球范围内的不同演习和培训中使用，这使得可以发现错误并改进应用程序本身。仍然需要达成共识的一些功能，例如曲线拟合和使用微核分析进行剂量估计。还计划包括一个专门用于实验室间比较的软件包，并将贝叶斯方法纳入剂量估计。
Biodose Tools 为生物剂量学实验室提供了一个开源解决方案。达成的共识有助于协调计算不确定性的方式。此外，由于每个实验室都可以下载和自定义应用程序的源代码，因此它提供了一个集成新功能的平台。
