Visualize Radiation Therapy Plan Data

Visual Data Science Project, October 2019 - December 2019

Description

Radiation therapy is a primary modality to treat head and neck, cancer patients. In this project, we propose a novel approach to visually correlate similarities and differences in cancer patient condition after radiation treatment.
The system uses head and neck cancer patients' data from UIC and MDACC Radiation Therapy plan, and visualize their similarities and dissimilarities in terms of dose prescription, dose distribution, tumor size, presence of lymph node, etc. The system introduces an efficient way for the users to analyze the data and reach a decision in an easy and proficient manner.

Motivation of the project was to help oncologists to :
  1. Understand how different patients respond to similar RT doses
  2. Visualize the tumor condition of patients
  3. Cluster the patients as per their demographic