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.
DVHmetrics
and this web application are written by:
Daniel Wollschläger wollschlaeger@uni-mainz.de Institute for Medical Statistics, Epidemiology und Informatics (IMBEI) University Medical Center Mainz Germany
Heiko Karle karle@uni-mainz.de Department of Radiation Oncology University Medical Center Mainz Germany
Data courtesy of Department of Radiation Oncology (Prof. Dr. Schmidberger), University Medical Center Mainz, Germany.
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/
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.
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
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