MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial
PRIMER (Prostate MRI With Machine LEarning vs. Radiologist) A Novel MRI-Based Machine Learning Approach vs Radiologist MRI Reading for Targeted Prostate Biopsy: A Non-Inferiority, Within-Person Randomized Controlled Trial for Prostate Cancer Detection
3 other identifiers
interventional
130
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2025
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 29, 2025
CompletedFirst Posted
Study publicly available on registry
September 9, 2025
CompletedStudy Start
First participant enrolled
September 19, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 15, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 15, 2028
January 12, 2026
January 1, 2026
2.1 years
August 29, 2025
January 8, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Clinically-significant prostate cancer (CSPCa) detection rate on Green Learning (GL) artificial intelligence (AI)-targeted and Prostate Imaging-Reporting and Data System (PIRADS)-targeted biopsies
Detection rates of PIRADS and GL AI-targeted biopsy will be evaluated per index region of interest (ROI), respectively.
Up to 3 months
CSPCa detection rate on GL AI-targeted and Deep Learning (DL) AI-targeted biopsies
Detection rates of GL AI and DL AI targeted biopsy will be evaluated per index ROI, respectively.
Up to 3 months
Secondary Outcomes (4)
Patient-level diagnostic performance of GL AI and PIRADS for CSPCa detection
Up to 3 months
Targeted biopsy core characteristics
Up to 3 months
Predictors for patient-level CSPCa detection
Up to 3 months
Dice score and linear correlation coefficient of CSPCa distribution on radical prostatectomy (RP) specimens and ROI generated by GL AI, DL AI and PIRADS
Up to 3 months
Study Arms (7)
Cohort 1 Arm I (MRI/TRUS, PIRADS, GL AI, DL AI)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using PIRADS on study. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy based on GL AI predictions. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy based on DL AI predictions. Finally, patients undergo up to 12 additional prostate biopsies per SOC.
Cohort 1 Arm II (MRI/TRUS, PIRADS, DL AI, GL AI)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using PIRADS. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy based on DL AI predictions. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy based on GL AI predictions. Patients undergo up to 12 additional prostate biopsies per SOC. Based on biopsy results, patients will either come off study or undergo radical prostatectomy without hormonal therapy within 180 days from baseline MRI.
Cohort 1 Arm III (MRI/TRUS, GL AI, PIRADS, DL AI)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using GL AI predictions. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy using PIRADS. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy based on DL AI predictions. Patients undergo up to 12 additional prostate biopsies per SOC. Based on biopsy results, patients will either come off study or undergo radical prostatectomy without hormonal therapy within 180 days from baseline MRI.
Cohort 1 Arm IV (MRI/TRUS, GL AI, DL AI, PIRADS)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using GL AI predictions. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy based on DL AI predictions. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy using PIRADS. Finally, patients undergo up to 12 additional prostate biopsies per SOC. Patients may also undergo DRE on study.
Cohort 1 Arm V (MRI/TRUS, DL AI, PIRADS, GL AI)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using DL AI predictions. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy using PIRADS. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy based on GL AI predictions. Patients undergo up to 12 additional prostate biopsies per SOC. Based on biopsy results, patients will either come off study or undergo radical prostatectomy without hormonal therapy within 180 days from baseline MRI.
Cohort 1 Arm VI (MRI/TRUS, DL AI, GL AI, PIRADS)
EXPERIMENTALPatients undergo MRI/TRUS followed by a targeted prostate biopsy using DL AI predictions. Patients then undergo a 2nd MRI/TRUS followed by a targeted prostate biopsy based on GL AI predictions. Patients then undergo a 3rd MRI/TRUS followed by a targeted biopsy using PIRADS. Patients undergo up to 12 additional prostate biopsies per SOC. Based on biopsy results, patients will either come off study or undergo radical prostatectomy without hormonal therapy within 180 days from baseline MRI.
Cohort 2 (Radical Prostatectomy Cohort)
EXPERIMENTALPatients undergo MRI/TRUS then a radical prostatectomy (RP), which are performed per standard of care at our institution. PIRADS, GL AI, and DL AI will be used to interpret the MRI/TRUS results prior to RP.
Interventions
Undergo targeted prostate biopsy
PIRADS Assessment
Deep Learning (DL) AI predictions
Green Learning (GL) AI predictions
Undergo RP
Eligibility Criteria
You may qualify if:
- PROSTATE BIOPSY COHORT: Patients undergoing transperineal MRI/TRUS fusion prostate biopsy (PBx) as per standard of care
- PROSTATE BIOPSY COHORT: Patients who underwent or are undergoing 3T multiparametric MRI (T2W, diffusion weighted imaging \[DWI\], apparent diffusion coefficient \[ADC\], and dynamic contrast-enhanced \[DCE\]) within 90 days prior to biopsy
- PROSTATE BIOPSY COHORT: Patients who consented to the study
- RADICAL PROSTATECTOMY COHORT: Patients undergoing radical prostatectomy for primary treatment of prostate cancer as per standard of care
- RADICAL PROSTATECTOMY COHORT: Patients who underwent or are undergoing 3T multiparametric MRI (T2W, DWI, ADC, and DCE) within 180 days prior to radical prostatectomy
- RADICAL PROSTATECTOMY COHORT: Patients who consented to the study
You may not qualify if:
- PROSTATE BIOPSY COHORT: Patients with a history of prostate cancer
- PROSTATE BIOPSY COHORT: Patients with a history of surgical treatment on benign prostate hyperplasia
- PROSTATE BIOPSY COHORT: Patients undergoing saturation prostate biopsy
- PROSTATE BIOPSY COHORT: Patients under 20 years old
- PROSTATE BIOPSY COHORT: Patients with previous PBx history
- PROSTATE BIOPSY COHORT: MRI which was not interpreted by PIRADS
- PROSTATE BIOPSY COHORT: MRI with significant artifact
- RADICAL PROSTATECTOMY COHORT: Patients who are undergoing neo-adjuvant hormonal therapy in conjunction with radical prostatectomy
- RADICAL PROSTATECTOMY COHORT: Patients with a history of surgical treatment on benign prostate hyperplasia
- RADICAL PROSTATECTOMY COHORT: Patients under 20 years old
- RADICAL PROSTATECTOMY COHORT: Patients without pre-treatment MRI
- RADICAL PROSTATECTOMY COHORT: MRI which was not interpreted by PIRADS
- RADICAL PROSTATECTOMY COHORT: MRI with significant artifact
- RADICAL PROSTATECTOMY COHORT: Patients who are included in the Biopsy cohort
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Southern Californialead
- National Cancer Institute (NCI)collaborator
Study Sites (1)
USC / Norris Comprehensive Cancer Center
Los Angeles, California, 90033, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Andre Luis Abreu, MD
University of Southern California
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 29, 2025
First Posted
September 9, 2025
Study Start
September 19, 2025
Primary Completion (Estimated)
October 15, 2027
Study Completion (Estimated)
October 15, 2028
Last Updated
January 12, 2026
Record last verified: 2026-01