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.
This abstract and the presentation materials are available to members only; a login is required.