Pancreatic ductal adenocarcinoma (PDAC) is one of the most common forms of lethal human cancers with poor prognosis. Diagnosis is made usually late in tumor development. There is a dire need to develop sensitive non-invasive biomarkers to diagnose and monitor tumor progression and its associated pathological features. We propose to use multi-parametric MRI (mpMRI) to monitor tumor progression in a genetically engineered KPC mouse model that recapitulates human PDAC. Using mpMRI, we demonstrate that there is a significant correlation between increase in pancreatic tumor volume, Magnetization transfer ratio (MTR), apparent diffusion coefficient (ADC), and chemical exchange saturation transfer (CEST) imaging.
This abstract and the presentation materials are available to members only; a login is required.