Radiation Therapy Treatment Decision Making for Prostate Cancer Patients based on PSA Dynamics

This project involves the use of the Kalman filter to update knowledge about PSA kinetics of high-intermediate and high risk prostate cancer patients that receive neoadjuvant hormone therapy prior to radiation therapy.

Initial believes are based on population characteristics. Estimates of the nadir (which might be linked to maximal tumor regression) are updated as new information becomes available. The model could be used as input in the monitoring and treatment decision making process of prostate cancer patients.