Reductions in prostatic doses are associated with less acute morbidity in patients undergoing Pd-103 brachytherapy: Substantiation of the rationale for focal therapy

Abstract

PurposeInterest in prostate dose reduction or focal treatment exists due to expected reductions in treatment morbidity. Prior analyses have not generally corroborated relationships between prostate or urethral dose and urinary toxicity after brachytherapy, but such analyses have been performed on cohorts all receiving the same prescribed dose. We analyzed patients treated to differing prescription doses to assess acute urinary morbidity with dose reduction. Methods and MaterialsPatients treated with Pd-103 to either 125 Gy or 90–100 Gy were compared using the International Prostate Symptom Score (IPSS) at 1-month postimplant. Patients in the 90–100 Gy cohort began external beam radiation therapy after their 1-month assessment; thus, toxicities were measured before contribution from external beam radiation therapy. Patient/treatment characteristics were compared to verify subgroup homogeneity. Dose and change in IPSS 1 month after treatment were assessed using a multivariate linear regression model. ResultsOne hundred ninety-one and 41 patients were treated with 125 Gy versus 90–100 Gy, respectively. Preimplant and postimplant prostate volumes and initial IPSS were similar between groups. Higher prescription dose and increased pretreatment IPSS were independent predictors of increased 1-month IPSS. In addition, every 10 percentage point additional prostate volume receiving a given dose was associated with increase in IPSS after treatment for the same level of pretreatment IPSS. ConclusionLower prescription dose and decreased volume of high-dose regions to the prostate correlated with reduced acute urinary morbidity after brachytherapy. Our findings suggest that focal treatment approaches with modest dose reductions to subregions of the prostate may reduce acute morbidity and potentially expand the number of patients eligible for brachytherapy.