Abstract #1795

Radiomics Driven Image Analysis and Coregistration Scheme to Identify DCE MRI Markers for Microvascular Density

Asha Singanamalli¹, Rachel Sparks¹, Mirabela Rusu¹, Natalie Shih², Amy Ziober², John Tomaszewski³, Mark Rosen⁴, Michael Feldman², Anant Madabhushi¹

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ²Department of Pathology, University of Pennsylvania, Philadelphia, PA, United States; ³Department of Pathology & Anatomical Sciences, University of Buffalo, University of Buffalo, Buffalo, United States; ⁴Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

Prostate cancer is the second leading cause of cancer mortality in men. Measures such as gleason scores and microvascular density (MVD) are well established indicators of CaP outcome. However, invasive procedures are necessary to obtain these measures. In this study, we seek to identify DCE MRI perfusion parameters that correlate with MVD using sophisticated image analysis and registration methods in order to establish non-invasive methods of assessing tumor outcome.