Perelman School of Medicine at the University of Pennsylvania

Penn Quantitative Imaging Resource for Pancreatic Cancer

pharmakokinetic modeling

Penn Quantitative Imaging Resource for Pancreatic Cancer

Mission

Our mission is to facilitate the development of effective therapies for pancreatic ductal adenocarcinoma (PDA) via the applications of imaging tools. We strive to develop robust imaging tools in murine models of PDA and translate them to the clinic in settings of co-clinical imaging.


About The Website

We will be making updates over the course of the U24CA231858 project (9/2018-8/2023). As the project develops, we will share resources and imaging data produced in the project including but not limited to: 

  • Imaging tool library - Tools including MRI pulse programs and data analysis software developed.
  • SOP library – standardized protocols for generations of orthotopic and xenograft models.
  • Data repository – preclinical imaging data and IHC data; clinical imaging data and companion clinical information.

Publications

The publications below represents the first detailed evaluations of DCE-MRI’s utility for detecting PDA responses to stroma-directed therapy.

1. Shoghi K, Badea C, Blocker S, Chenevert T, Laforest R, Lewis M, Luker G, Manning H, Marcus D, Mowery Y, Pickup S, Richmond A, Ross B, Vilgelm A, Yankeelov T, Zhou R. Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine. Tomography : a journal for imaging research 2020 6(3):273-287.

2. Cao J, Pickup S, Clendenin C, Blouw B, Choi H, Kang D, Rosen M, O'Dwyer PJ and Zhou R. Dynamic contrast-enhanced MRI detects responses to stroma-directed therapy in mouse models of pancreatic ductal adenocarcinoma. Clin Cancer Res. Dec. 2018 (Epub ahead of print).

3. Cao J, Song HK, Yang H, Castillo V, Chen J, Clendenin C, Rosen M, Zhou R, Pickup S. Respiratory Motion Mitigation and Repeatability of Two Diffusion-Weighted MRI Methods Applied to a Murine Model of Spontaneous Pancreatic Cancer. Tomography. 2021; 7(1):66-79. https://doi.org/10.3390/tomography7010007