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BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions

OBJECTIVES: Structured real-world data (RWD), such as those found in cancer registries, provide a rich source of information regarding the natural history of cancer. Interactive data visualizations of cancer lesions can provide insights into certain clinical tumor characteristics (CTC). Software tha...

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Detalles Bibliográficos
Autores principales: Miller, David M, Shalhout, Sophia Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903180/
https://www.ncbi.nlm.nih.gov/pubmed/35274087
http://dx.doi.org/10.1093/jamiaopen/ooac013
Descripción
Sumario:OBJECTIVES: Structured real-world data (RWD), such as those found in cancer registries, provide a rich source of information regarding the natural history of cancer. Interactive data visualizations of cancer lesions can provide insights into certain clinical tumor characteristics (CTC). Software that can be integrated into an oncological data collection effort and generate anatomical data visualizations of CTC are limited. MATERIALS AND METHODS: We created BodyMapR: an R package and Shiny application that generates anatomical visualizations of cancer lesions from structured data. RESULTS: BodyMapR is a Shiny application that transposes structured data from REDCap(®) onto an anatomical map to yield an interactive data visualization. CONCLUSIONS: BodyMapR is freely available under the MIT license and can be obtained from GitHub. BodyMapR is executed in R and deployed as a Shiny application. It can be integrated into an existing cancer research platform and produces an interactive data visualization of CTC.