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NCT02943824: MOPP

Machine-learning Optimization for Prostate Brachytherapy Planning

Completed NA Last updated 6 September 2018
What this trial tests

NA trial testing Machine Learning Planning in Prostatic Neoplasms in 42 participants. Completed in 4 September 2018.

Timeline
24 August 2017
Primary endpoint
24 August 2018
4 September 2018

Quick facts

Lead sponsorSunnybrook Health Sciences Centre
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposeother
Enrollment42
Start date24 August 2017
Primary completion24 August 2018
Estimated completion4 September 2018
Sites1 location across Canada

Drugs / interventions tested

Conditions studied

Sponsor

Sunnybrook Health Sciences Centre — full company profile →

Who can join

Eligibility, male only, with Prostatic Neoplasms. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The proposed, mono-institutional, randomized-controlled trial aims to determine whether the dosimetric outcomes following prostate Low-Dose-Rate (LDR) brachytherapy, planned using a novel machine learning (ML-LDR) algorithm, are equivalent to manual treatment planning techniques. Forty-two patients with low-to-intermediate-risk prostate cancer will be planned using ML-LDR and expert manual treatment planning over the course of the 12-month study. Expert radiation oncology (RO) physicians will then evaluate and modify blinded, randomized plans prior to implantation in patients. Planning time, pre-operative dosimetry, and plan modifications will be assessed before treatment, and post-operative dosimetry will be evaluated 1-month following the implant, respectively.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Prostatic Neoplasms

Currently open trials in the same condition.

Other Sunnybrook Health Sciences Centre trials

Trials by the same sponsor.

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Data sources for this page

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