Sung K - In this retrospective study, researchers compared and assessed the model fitting uncertainty and error in the estimation of the model parameter using different dynamic contrast-enhanced MRI (DCE-MRI) analysis and evaluated the ability of the intravascular dispersion parameter to define between noncancerous and cancerous prostate tissue in the transition and peripheral zones. Participants in the study were 53 patients who had radical prostatectomy. The maximum coefficient of variation in different tissue types was present in both MR dispersion imaging (MRDI) and Weinmann analysis models, while the model fitting uncertainty of modified (m) MRDI was similar to the standard Toft model. The model fitting error in mMRDI was minimal and, compared to MRDI, the delineation between noncancerous and clinically significant prostate cancer tissue in both transition and peripheral zones was improved. According to findings, the mMRDI exhibited promising outcomes in detecting prostate cancer while maintaining a similar model fitting uncertainty.