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
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
Voxel-wise co-registered quantitative MRI and histopathology parameters were correlated within the prostate and showed significant differences between PCa and benign tissues. Texture feature may provide additional information for understanding the heterogeneity of PCa.
Figure.1: Data acquisition and processing framework. Utilizing 3D patient-specific molds and ex vivo MRI, quantitative MRI maps of ADC and T2 were registered to the digital histopathology maps of epithelium, stroma and lumen area fractions (fepithelium, fstroma, flumen) at identical resolution of 1x1 mm2. Then, texture features for characterizing PCa heterogeneity were obtained from the high resolution, co-registered quantitative MRI and digital histopathology maps.
Figure.4: Texture features were calculated for 9 prostate cancer (PCa) regions from 5 patients, based on co-registered (a) quantitative MRI ADC and T2 maps and (b) digital histopathology maps of epithelium, stroma and lumen area fraction. The Gleason Score (GS) for each PCa is also reported.