Abstract #2504

Using mathematical model to analyzing dynamic contrast enhanced MRI to distinguish between stromal benign prostatic hyperplasia and prostate cancer

Xiaobing Fan¹, Shiyang Wang¹, Milica Medved ¹, Tatjana Antic², Serkan Guneyli ¹, Gregory S Karczmar¹, and Aytekin Oto¹

¹Radiology, University of Chicago, Chicago, IL, United States, ²Pathology, University of Chicago, Chicago, IL, United States

Previous dynamic contrast enhanced (DCE) MRI studies demonstrated that stromal benign prostatic hyperplasia (BPH) nodules are difficult to differentiate from transition zone prostate cancer (PCa). Therefore, it is important to improve the accuracy of DCE-MRI to distinguish BPH from PCa. A total of 24 patients with biopsy confirmed PCa were enrolled in this study. DCE-MRI data were acquired at 3 T for a total of ~8.3 minutes. The relative signal enhancement curves for cancer (n=24) and BPH (n=19) were calculated and analyzed using an empirical mathematical model. The ratio of washout-rate/uptake-rate (p<0.01) was significantly smaller in BPH than in cancers.

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