Quantitative Imaging for Personalized Cancer Medicine (QIPCM)
The Quantitative Imaging for Personalized Cancer Medicine (QIPCM) program is a Canadian imaging core lab at the University Health Network in Toronto. We provide end-to-end support for clinical trials, ensuring imaging data is curated consistently and reliably. Our data ingestion pipeline securely transfers images from health centres to our central repository, where they undergo de-identification, quality assurance, and final storage. Within our hospital network, we also have the capability for batch extraction from clinical imaging PACS. We provide remote permission-based access to enable our clinical investigators and industry sponsors from around the world to collaborate seamlessly on their data. Our web-based imaging tools include RT Review and the OHIF viewer, and for maximum flexibility we offer virtual machines and GPU access for AI model development. Our research interests include theranostics and federated data sharing.
Since its inception in 2013, QIPCM has supported more than 90 clinical trials and imaging research studies across 65 hospitals worldwide. Funded through grant support from The Ontario Institute for Cancer Research, fee for service contracts and philanthropic funding from The Princess Margaret Cancer Foundation, we continue to expand our tools and services to better support clinical trials in Canada and around the world.
"With OHIF's lightweight, web-based viewer, our users gain easy, secure access to imaging data, delivering a practical, scalable solution that enhances collaboration and efficiency."