Predicting Quality of Life Outcomes after Prostate Cancer Treatment
Decisions about prostate cancer treatment are difficult because of the risks of developing sexual and urinary problems. Using data from Maine’s largest prostate cancer center, we will develop and validate risk models that will predict the risks of sexual and urinary problems for a specific patient, based on his age, weight, prostate size, and other clinical characteristics. This would translate to a “clinical prediction tool” which would allow clinicians to give patients personalized estimates of what to expect after various treatment options. Predicting individual outcomes would provide prostate cancer patients with valuable information on which to base treatment decisions.