This study is to compare the utility of various metrics derived from different models based DWI and DKI in the differential diagnosis of prostate cancer. ADC, ADCslow, DDC, and MD values were significantly lower while MK value was significantly higher in prostate cancer lesions than those of prostatitis and BPH. Parameters derived from both Gaussian and non-Gaussian models could characterize prostate cancer. Diagnosis performance benefit was observed for DKI model as compared to MEM.
This abstract and the presentation materials are available to members only; a login is required.