Abstract #1019

Characterization of Prostate Microstructure Using Diffusion-Relaxation Correlation Spectrum Imaging and Comparison to Digital Histopathology

Zhaohuan Zhang^1,2, Clara Magyar³, Alan Priester⁴, Sepideh Shakeri¹, Sohrab Afshari Mirak¹, Amirhossein Mohammadian Bajgiran¹, Anthony E. Sisk³, Kyunghyun Sung^1,2, Robert E. Reiter⁴, Dieter R. Enzmann¹, Steven S Raman¹, and Holden H. Wu^1,2

¹Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, ²Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, ³Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, United States, ⁴Department of Urology, University of California, Los Angeles, Los Angeles, CA, United States

Prostate microstructural MRI has the potential to improve prostate cancer (PCa) detection and characterization by resolving the signal signatures of sub-voxel microscopic tissue compartments. Recently, a new model, Diffusion-Relaxation Correlation Spectrum Imaging (DR-CSI), was developed but has not been applied to prostate imaging. In this work, we investigated Prostate DR-CSI and compared DR-CSI features (signal component fractions) to histopathology features (microscopic tissue compartments) derived from digital pathology, to evaluate this new multi-component signal model for prostate microstructure characterization.

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