2021 AMI Online Salon

Tumor Pseudoprogression Learning Module

Project Details

  • Entrant Name:  Jer Weann Ang
  • Client: Daniele Procissi, Department of Radiology at Northwestern University & Dr. Karen Xie, Radiology Department at University of Illinois – Chicago
  • Copyright: Jer Weann Ang, 2021
  • Medium/software used:Unity 3D, Pixologic ZBrush, Autodesk 3DSMax, Materialize Mimics, ITK-SNAP, Articulate Storyline 360, Adobe Illustrator & After Effects
  • Final presentation format:Web application (desktop use)
  • Primary Audience:Biomedical researchers

Project Description

Tumor pseudoprogression (PSD) is an increase in tumor size after chemoradiotherapy without true tumor growth, followed by a size reduction despite no changes in therapy. It visually mimics true progression in radiological scans, posing a diagnostic challenge for researchers and physicians. Radiological imaging is a common method of monitoring progression but these scans contain complex spatial relationships that researchers are not trained to visualize.This short interactive 3D learning module aims to help researchers better understand PSD and addresses the lack of learning tools that consider researchers as an audience. The interactive case study is designed to incorporate multiple types of data on a single interface to ensure comprehensive visualization. Users can interact with MRI scans, inspect corresponding tumor models, and view biomarker data at each time point to better understand tumor growth. The module also includes reflective assessments to encourage active learning.