Biodose Tools: an R shiny application for biological dosimetry.

IF 2.1 4区 医学 Q2 BIOLOGY
Alfredo Hernández, David Endesfelder, Jochen Einbeck, Pedro Puig, Mohamed Amine Benadjaoud, Manuel Higueras, Elizabeth Ainsbury, Gaëtan Gruel, Ursula Oestreicher, Leonardo Barrios, Joan Francesc Barquinero
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引用次数: 10

Abstract

Introduction: 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).

Materials and methods: 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.

Results: 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.

Conclusion: 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.

生物剂量工具:一个R闪亮的应用程序的生物剂量测定。
在放射性事故或事件的情况下,生物剂量学的目的是将电离辐射暴露的特定生物标志物的产率转换为吸收剂量。自20世纪80年代以来,各种工具被用于处理生物剂量学所需的统计程序,一般来说,那些对不同生物标志物进行多次计算的人是基于闭源软件的。在这里,我们提出了一个新的开源程序,生物剂量工具,它是在RENEB(运行欧洲生物和回顾性物理剂量学网络)的保护下开发的。材料和方法:该应用程序使用R编程语言和shiny包作为框架开发,以创建一个用户友好的在线解决方案。由于不同的数学过程没有唯一的方法,因此举行了几次会议和定期通信,以便就将要执行的解决办法达成协商一致意见。结果:当前版本3.6.1支持双心易位试验的剂量效应拟合。在剂量估计方面,Biodose Tools采用国际准则中指出的方法和评估异质照射的具体方法。该应用程序可以包含有关辐照条件的信息,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生成各种格式的报告,因此可以对所进行的每项生物剂量学研究进行追溯。该应用程序已在全球不同的练习和训练中使用,这使得发现错误并改进应用程序本身成为可能。在微核分析的曲线拟合和剂量估计等方面仍有一些有待共识的特点。它还计划包括一个专门用于实验室间比较和纳入贝叶斯剂量估计方法的包。结论:Biodose Tools为生物剂量测定实验室提供了一个开源的解决方案。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定制应用程序的源代码,因此它提供了一个集成新功能的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
11.50%
发文量
142
审稿时长
3 months
期刊介绍: The International Journal of Radiation Biology publishes original papers, reviews, current topic articles, technical notes/reports, and meeting reports on the effects of ionizing, UV and visible radiation, accelerated particles, electromagnetic fields, ultrasound, heat and related modalities. The focus is on the biological effects of such radiations: from radiation chemistry to the spectrum of responses of living organisms and underlying mechanisms, including genetic abnormalities, repair phenomena, cell death, dose modifying agents and tissue responses. Application of basic studies to medical uses of radiation extends the coverage to practical problems such as physical and chemical adjuvants which improve the effectiveness of radiation in cancer therapy. Assessment of the hazards of low doses of radiation is also considered.
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