Multiparametric magnetic resonance imaging (mpMRI) of the prostate gland is increasingly being used in the setting of newly diagnosed disease to identify occult, higher-grade, or stage elements missed by conventional biopsy. In this study, a prototype diffusion weighted single shot EPI sequence with integrated slice-by-slice shimming (iShim) technique was applied to reduce the susceptibility artifacts of DW images[1]. Conventional mono-exponential DWI, intravoxel incoherent motion (IVIM), and diffusional kurtosis imaging (DKI) models were applied to preoperatively predict prostate cancer (PCa)[2, 3]. Our research showed that the diffusion coefficient in the peripheral zone, mean kurtosis, and the PSA level in the transition zone are potential predictive biomarkers for PCa.
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