
Using a series of 421 patients with localized prostate cancer who were treated with radiation, six predictive models were analyzed to determine which model correlates most closely to actual clinical outcome data in regard to biochemical freedom from failure. Multivariate analysis was performed using the following covariates: prostate specific antigen; Gleason score; stage; dose; PSA density; and perineural invasion. Initially, the Pisansky model appeared to be the most predictive.



























































































