BodyMapR

BodyMapR maps clinical tumor characteristics (CTC) from structured real-world data sources such as REDCap® onto anatomical diagrams to visualize cancer lesion distributions for oncological research.

Key Features:

• Integration with Structured Data: Transposes structured RWD from sources such as REDCap® into an anatomical mapping framework for downstream analysis.
• Interactive Visualization: Produces dynamic anatomical visualizations that display spatial distributions and attributes of cancer lesions and CTCs.
• R-based Implementation: Implemented as an R package to integrate with R-based analysis workflows and scripting environments.

Scientific Applications:

• Spatial lesion mapping: Visualizes the anatomical distribution of cancer lesions to support spatial analyses of tumor occurrence.
• Pattern and correlation discovery: Reveals spatial patterns and correlations among clinical tumor characteristics across anatomical sites.
• Natural history and clinical research: Supports studies of cancer natural history and research questions that require anatomically contextualized CTC data.

Methodology:

Structured data from REDCap® and other RWD sources are integrated into an anatomical framework using R programming; a Shiny application component provides real-time interactive access to the visualized data.