VASARI (Visually Accessible Rembrandt Images) is an extension of the original REMBRANDT trial. The VASARI study seeks to validate the use of medical images as predictive biomarkers for cancer diagnosis. More specifically, the goal of VASARI is to develop reproducible methods to classify Magnetic Resonance Images (MRIs) of glioma tumors and provide linkages between those images, histology, and genetic data obtained from brain cancer specimens.
MRIs on the same samples used in the REMBRANDT program are used in the VASARI trial. Images are managed through the caBIG« National Biomedical Imaging Archive (NBIA), while caIntegrator provides the search capabilities.