Clinical trial Recruiting at 1 site Interventional Ages 20 and up Men only

MRI-based machine learning versus radiologist reads to detect prostate cancer

Official title: 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

Run by University of Southern California · NCT07162194 · Data updated 2026-11-12

This trial tests whether MRI-based AI methods can find clinically significant prostate cancer as well as experienced radiologists in men getting a prostate biopsy or prostate removal surgery.

Quick facts

Study typeInterventional
Ages20 Years and up
SexMen only
Enrollment130 (estimated)
SponsorUniversity of Southern California
Academic / other
Locations1 site (Los Angeles, California)
StatusRecruiting
StartedSeptember 19, 2025
Main results expectedOctober 15, 2027
Study endsOctober 15, 2028
Registry record updatedSeptember 1, 2026
Trial IDNCT07162194 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Men undergoing transperineal MRI/TRUS fusion prostate biopsy with a 3T multiparametric MRI within 90 days, or men undergoing radical prostatectomy with a 3T mpMRI within 180 days, who are willing to consent and attend the USC site.

Probably not a fit

Men with a prior history of prostate cancer, prior prostate surgery, no qualifying 3T mpMRI, or those unable to attend the USC/Norris site are not eligible and unlikely to benefit from participation.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective interventional study enrolls men undergoing transperineal MRI/TRUS fusion prostate biopsy (Group 1) and men undergoing radical prostatectomy or prostatectomy after biopsy (Group 2). In the biopsy cohort, patients are randomized to arms in which targeted biopsies are obtained sequentially based on standard PIRADS reads, a Green Learning (GL) AI prediction, and a Deep Learning (DL) AI prediction, alongside standard-of-care systematic cores. The primary objective is to show non-inferiority of GL AI-targeted biopsy versus PIRADS, with secondary goals including DL AI detection rates, patient-level diagnostic performance comparisons, biopsy core characteristics, predictors of clinically significant cancer, and spatial correlation with prostatectomy specimens. All participants require a 3T multiparametric prostate MRI performed within the study windows and are enrolled at the USC/Norris Comprehensive Cancer Center.

Why it matters

Potential benefit: If successful, the AI approaches could match radiologist accuracy for clinically significant prostate cancer and help standardize readings and expand access to high-quality MRI interpretation.

How similar studies have gone: Previous retrospective and some prospective reports have shown AI can approach or match experienced radiologist performance for detecting clinically significant prostate cancer on MRI, but randomized non-inferiority comparisons remain limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 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 365 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 365 days prior to radical prostatectomy
* RADICAL PROSTATECTOMY COHORT: Patients who consented to the study

Exclusion Criteria:

* 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

Where it's running

  • USC / Norris Comprehensive Cancer Center
    Los Angeles, California, United States
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.