Enter data
Upload DVH file:
Information from imported DVH file(s)
Define metrics
DVH metrics
Plot options
Show DVH diagrams
Constraint settings
Upload constraints:
Paste constraints:
Output table options
Check constraints
Constraint plot settings
Constraint plot
BED/EQD2 settings
Conversion type
Input
Input
BED / EQD2 / Isoeffective dose calculation
BED
EQD2
Isoeffective dose
About
This web application is a front-end for the R package DVHmetrics
that provides functionality for radiation oncology: Use it to read dose-volume-histogram (DVH) text files, to calculate free DVH metrics, to show DVH diagrams, to check and visualize quality assurance constraints for the DVH.
Documentation
For documentation on how to use the package and this web application, see:
DVHmetrics vignette
Web application vignette
Source code at: github.com/dwoll/DVHshiny/
Acknowledgements
Thanks to Marcus Stockinger and Michael R. Young for testing and feedback, to Sandra Bührdel, Hannes Rennau, Ulrich Wolf, Bjorne Riis, Nico Banz, and Michael R. Young for sample DVH files. Created with the Shiny web application framework powered by RStudio.
Uses functionality provided by the R packages ggplot2, reshape2, grid, and KernSmooth.
References
Chang W, Cheng J, Allaire JJ, Xie Y, McPherson J (2020). shiny: Web Application Framework for R.
R package version 1.5.0.
http://CRAN.R-project.org/package=shiny
David Granjon (2019). bs4Dash: A ‘Bootstrap 4’ Version of ‘shinydashboard’. R package version 0.5.0. https://CRAN.R-project.org/package=bs4Dash
R Core Team (2020). R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria.
http://www.R-project.org/
Wand M (2019). KernSmooth: Functions for Kernel Smoothing Supporting Wand & Jones (1995).
R package version 2.23-16.
http://CRAN.R-project.org/package=KernSmooth
Wickham H (2007). Reshaping Data with the reshape Package.
Journal of Statistical Software, 21(12), 1-20.
http://www.jstatsoft.org/v21/i12/
http://cran.r-project.org/package=reshape2
Wickham H (2016). ggplot2: elegant graphics for data analysis. 2nd ed.
New York: Springer.
http://cran.r-project.org/package=ggplot2