Actively Recruiting
MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial
Led by University of Southern California · Updated on 2026-01-12
130
Participants Needed
1
Research Sites
160 weeks
Total Duration
On this page
Sponsors
U
University of Southern California
Lead Sponsor
N
National Cancer Institute (NCI)
Collaborating Sponsor
AI-Summary
What this Trial Is About
This clinical trial studies how well a magnetic resonance imaging (MRI)-based machine learning approach (i.e., artificial intelligence \[AI\]) works as compared to radiologist MRI readings in detecting prostate cancer. One of the current methods used to help diagnose possible prostate cancer is performing a prostate MRI. An MRI uses a magnetic field to take pictures of the body. The MRI images are examined by a radiologist. If a suspicious area is seen in the MRI, the radiologist assigns it a PIRADS score. This stands for Prostate Imaging Reporting and Data System. The PIRADS score is used to report how likely it is that a suspicious area in the prostate is cancer. The AI system has been developed also to be able to analyze prostate MRI images and detect suspicious areas in the prostate that may be cancer. The AI system's ability to diagnose aggressive prostate cancer may be similar to detection performed by experienced radiologists using the standard PIRADS system of analyzing prostate MRI.
CONDITIONS
Official Title
MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients undergoing transperineal MRI/TRUS fusion prostate biopsy as standard care
- Patients who had or are having 3T multiparametric MRI within 90 days before biopsy
- Patients who consented to participate in the study
- Patients undergoing radical prostatectomy for primary prostate cancer treatment
- Patients who had or are having 3T multiparametric MRI within 180 days before radical prostatectomy
- Patients who consented to participate in the study
You will not qualify if you...
- History of prostate cancer (biopsy cohort)
- History of surgical treatment for benign prostate hyperplasia (both cohorts)
- Undergoing saturation prostate biopsy (biopsy cohort)
- Under 20 years old (both cohorts)
- Previous prostate biopsy history (biopsy cohort)
- MRI not interpreted by PIRADS (both cohorts)
- MRI with significant artifacts (both cohorts)
- Undergoing neo-adjuvant hormonal therapy with radical prostatectomy (prostatectomy cohort)
- Patients included in the biopsy cohort (prostatectomy cohort)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
USC / Norris Comprehensive Cancer Center
Los Angeles, California, United States, 90033
Actively Recruiting
Research Team
I
Ileana Aldana
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
QUADRUPLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
7
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