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Biodose Tools: an R shiny application for biological dosimetry.

Alfredo Hernández1, David Endesfelder2, Jochen Einbeck3

  • 1Department of Animal Biology, Plant Biology and Ecology (BABVE), Universitat Autònoma de Barcelona, Bellaterra, Spain.

International Journal of Radiation Biology
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

Biodose Tools is a new open-source software for biological dosimetry, aiding in dose estimation after radiation exposure. This program standardizes calculations and offers a customizable platform for laboratories worldwide.

Keywords:
Biodose ToolsRbiodosimetrydata analysisdose assessmentgraphical user interface

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Area of Science:

  • Radiation biology
  • Dosimetry
  • Bioinformatics

Background:

  • Biological dosimetry estimates radiation dose using biomarkers.
  • Previous tools relied on closed-source software, limiting accessibility and customization.
  • The Running the European Network of Biological and retrospective Physical dosimetry (RENEB) initiative sought an open-source solution.

Purpose of the Study:

  • To introduce Biodose Tools, a novel open-source software for biological dosimetry.
  • To provide a user-friendly, consensus-driven platform for dose-effect fitting and estimation.
  • To enhance harmonization and traceability in biological dosimetry studies.

Main Methods:

  • Developed using the R programming language and the Shiny package for an online interface.
  • Incorporates consensus-driven methods for dose-effect fitting (dicentric and translocation assays) and dose estimation.
  • Supports assessment of heterogeneous exposures and includes accident-specific information.

Main Results:

  • Biodose Tools (version 3.6.1) supports established international guidelines for dose estimation.
  • The software facilitates calibration curve generation and detailed result reporting.
  • Global use in exercises has led to iterative improvements and error identification.

Conclusions:

  • Biodose Tools offers a harmonized, open-source solution for biological dosimetry.
  • The customizable nature of the software allows for integration of new features and methods.
  • It promotes standardization in uncertainty calculations and provides a collaborative platform for laboratories.