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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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