Machine-learning Optimization for Prostate Brachytherapy Planning (MOPP)
Prostatic Neoplasms
About this trial
This is an interventional other trial for Prostatic Neoplasms focused on measuring brachytherapy, machine learning, treatment planning, Low-Dose-Rate brachytherapy
Eligibility Criteria
Inclusion Criteria:
- Diagnosed low- or intermediate-risk prostate cancer patients opting for I-125 LDR brachytherapy at the Sunnybrook Odette Cancer Centre.
- Prostate volume on TRUS < 60 cc.
- Ability to give informed consent to participate in the study
Exclusion Criteria:
- Locally advanced or metastatic disease.
- Prior Trans Urethral Resection of the Prostate (TURP).
- International Prostate Symptom Score (IPSS) > 18
- Patients receiving salvage or boost treatments after primary external radiation or brachytherapy.
- Patients on study protocols with prescription doses other than 145 Gy.
Sites / Locations
- Sunnybrook Odette Cancer Centre
Arms of the Study
Arm 1
Arm 2
Experimental
Active Comparator
Machine Learning Planning
Radiation Therapist Planning
Patients will be pre-operatively planned using a machine-learning computer program. An expert radiation oncologist will evaluate the plan prior to implantation. The prescription dose is 145 Gy for monotherapy LDR brachytherapy.
Patients will be pre-operatively planned manually by an expert radiation therapist (> 60 cases planned). An expert radiation oncologist will evaluate the plan prior to implantation.The prescription dose is 145 Gy for monotherapy LDR brachytherapy.