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Abstract #2930

Multi-parametric MRI assessment of tumor progression in a mouse model of pancreatic cancer

Ravneet S Vohra1, Yak-Nam Wang2, Joshua Park1, Kayla Gravelle2, Stella wHang2, Joo-Ha Hwang3, and Donghoon Lee1

1Department of Radiology, University of Washington, Seattle, WA, United States, 2Center for Industrial and Medical Ultrasound Applied Physics Laboratory, University of Washington, Seattle, WA, United States, 3Department of Medicine, University of Washington, Seattle, WA, United States

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.

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