{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["5(1)"],"submitter":["Miller DM"],"funding":["Medical Discovery Clinical Research","Harvard Cancer Center Merkel Cell Carcinoma"],"pubmed_abstract":["<h4>Objectives</h4>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.<h4>Materials and methods</h4>We created BodyMapR: an R package and Shiny application that generates anatomical visualizations of cancer lesions from structured data.<h4>Results</h4>BodyMapR is a Shiny application that transposes structured data from REDCap<sup>®</sup> onto an anatomical map to yield an interactive data visualization.<h4>Conclusions</h4>BodyMapR is"],"journal":["JAMIA open"],"pagination":["ooac013"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8903180"],"repository":["biostudies-literature"],"pubmed_title":["BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions."],"pmcid":["PMC8903180"],"pubmed_authors":["Miller DM","Shalhout SZ"],"additional_accession":[]},"is_claimable":false,"name":"BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions.","description":"<h4>Objectives</h4>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.<h4>Materials and methods</h4>We created BodyMapR: an R package and Shiny application that generates anatomical visualizations of cancer lesions from structured data.<h4>Results</h4>BodyMapR is a Shiny application that transposes structured data from REDCap<sup>®</sup> onto an anatomical map to yield an interactive data visualization.<h4>Conclusions</h4>BodyMapR is","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-21T16:48:26.603Z","creation":"2025-04-21T16:48:26.603Z"},"accession":"S-EPMC8903180","cross_references":{"pubmed":["35274087"],"doi":["10.1093/jamiaopen/ooac013"]}}