Penn Quantitative Imaging Resource for Pancreatic Cancer



Imaging Datasets


Clinical MRI Datasets

Description: This dataset includes baseline and post-treatment diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) from a pancreatic cancer patient enrolled in clinical trial entitled “A Randomized Pilot Study of Perioperative Nivolumab and Paricalcitol to Target the Microenvironment in Resectable Epithelial Subtype Pancreatic Cancer” (NCT03519308).

Reference: Mark Rosen, Hee Kwon Song, Emma E Furth, Rong Zhou, Peter O'Dwyer, and Thomas Karasic: PENN Quantitative Imaging Resource for Pancreatic Cancer: Clinical trial updates Co-clinical Imaging Resource Program (CIRP) Network Annual Meeting June 2022.

Resource Type: Image Data
Site: Github.com
Link: Github
Research Area: Diffusion Imaging


Test-retest study of Radial k-Space DW-MRI of Mouse Abdomen at 4.7T

Description: Test-Retest Diffusion imaging in 10 mice. Includes original data as well as derived images such as: ADC, M0, M0 standard deviation, BL, and BL standard deviation.

Reference: 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.

Resource Type: Image Data
Site: Github.com
Link: Github
Research Area: Diffusion Imaging


Representative Preclinical Datasets at 9.4T

Description: Represenative dataset for diffusion imaging in mice at 9.4T

Reference: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 : a journal for imaging research 7(1) (2021) 66-79.

Resource Type: Image Data
Site: Github.com
Link: Github
Research Area: Diffusion MR

Clinical Histological Data

Description: In Preparation

Reference:TBD

Resource Type: Histological Data
Site: Box.com
Link: Box
Research Area: Histology