Abstract #0765

A Framework for Characterizing Prostate Cancer Heterogeneity Using Voxel-Wise Co-Registered Ex Vivo MRI and Whole-Mount Histopathology

Zhaohuan Zhang¹, Jiayun Li¹, Wenyuan Li¹, Haoxin Zheng¹, Sohrab Afshari Mirak¹, Sepideh Shakeri¹, Alan Priester¹, Clara Magyar², Anthony Sisk², Robert Reiter³, Kyunghyun Sung¹, Steven Raman¹, Dieter R. Enzmann¹, Corey Arnold¹, and Holden Wu¹

¹Department of Radiological Sciences, UCLA, Los Angeles, CA, United States, ²Department of Pathology, UCLA, Los Angeles, CA, United States, ³Department of Urology, UCLA, Los Angeles, CA, United States

Tumor heterogeneity is considered a key factor in determining the aggressiveness of prostate cancer (PCa). Quantitative MRI and digital whole-mount histopathology (WMHP) have potential to characterize heterogeneity in PCa in terms of MRI properties and tissue composition, respectively. Therefore, the purpose of this study is to develop a data acquisition and processing framework that produces high-resolution (1x1mm2) co-registered quantitative MRI and digital histopathology maps to enable texture features based quantification of PCa heterogeneity

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