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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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 |
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author | Miller, David M Shalhout, Sophia Z |
author_facet | Miller, David M Shalhout, Sophia Z |
author_sort | Miller, David M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8903180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89031802022-03-09 BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions Miller, David M Shalhout, Sophia Z JAMIA Open Application Notes 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. Oxford University Press 2022-03-04 /pmc/articles/PMC8903180/ /pubmed/35274087 http://dx.doi.org/10.1093/jamiaopen/ooac013 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Application Notes Miller, David M Shalhout, Sophia Z BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title | BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title_full | BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title_fullStr | BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title_full_unstemmed | BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title_short | BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions |
title_sort | bodymapr: an r package and shiny application designed to generate anatomical visualizations of cancer lesions |
topic | Application Notes |
url | 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 |
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