Imaging for Clinical Trials Project

Overview

The treatment of cancer promises to undergo a revolution, wherein, very specific measurements or biomarkers will be used to identify and tailor the best treatment or combination of treatments for each individual patient. With effective biomarkers, each cancer patient would have a course of therapy that maximizes their cancer control and manages unnecessary toxicity. A major impediment to the successful deployment of this ‘personalized cancer medicine’ approach is our inability to measure these potential biomarkers with a high degree of precision and accuracy. While the impact of imprecision in these measurements is obviously negative for high quality cancer care, it also prevents the scientific community from learning which measures can be validated as true, stable biomarkers. This project seeks to establish a program of research and operations that facilitates the development and, ultimately deployment, of image-based biomarkers for personalized cancer medicine.

The cancer imaging platform project seeks to develop capabilities to:

  • manage the acquisition and analysis of images and generate standardized reports with quantitative measurements that meet clinical trials requirements for existing endpoints (i.e., RECIST);
  • develop and provide imaging viewing and analysis tools to measure novel biomarkers of tumor response suitable for use in clinical trials; and
  • share images in a secure fashion and maintain an imaging registry/databank as a province-wide resource for cancer imaging biomarker research and development.

Sub-Projects

  • Commission a Suite of Defined Imaging Procedures and Corresponding Accreditation Tests for Use in Clinical Trials;
  • Establish a Stable Software Project for Image Reads/Analysis in Clinical Trials with Capabilities for Centralized Image Archival and Remote Real-Time Review;
  • Establish and Operate a Subsidized Service to Implement and Support Robust, Quantitative Imaging in Clinical Trials./li>

Lead Principal Investigator

Dr. David Jaffray, University Health Network

Collaborators

ClearCanvas