Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate of less than 10%. Surgical resection is the most effective therapy, but only 15-20% of pancreatic cancer patients have resectable disease at diagnosis. For some patients with borderline resectable tumors, neoadjuvant therapies can downstage the tumor and enable surgical resection. However, the tumor microenvironment limits the ability of neoadjuvant therapies to do so. X-ray computed tomography provides information about major blood vessels and soft tissue geometry but does not provide information about tumor microenvironmental changes. In this talk, I will report the results of our preclinical studies to establish shear modulus as a surrogate imaging biomarker for real-time assessing tumor response to neoadjuvant therapies.
Dr. Marvin M. Doyley is the Wilson Professor of Electronic Imaging and Chair of the Department of Electrical and Computer Engineering at the University of Rochester, with joint appointments in Biomedical Engineering and Imaging Sciences (Radiology). He received his Ph.D. in biophysics from the University of London Imperial College in 2000 and did his post-doctoral training at Erasmus University and Dartmouth College. His research focuses on non-invasive imaging
techniques for diagnosing pancreatic and colorectal cancer. He is a fellow of AIMBE, AIUM, and IEEE. He serves on the editorial boards of IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, SPIE Journal of Medical Imaging, Physics in Medicine and Biology, and Nature Scientific Reports.