Medical Information Only. Always consult your healthcare provider before enrolling in any clinical trial.

RECRUITING NA

MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial

NCT07162194 · View on ClinicalTrials.gov ↗

Study 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.

Conditions Studied

Interventions

  • PROCEDURE Radical Prostatectomy
  • PROCEDURE Targeted Prostate Biopsy
  • DIAGNOSTIC_TEST Prostate Imaging Reporting & Data System
  • DIAGNOSTIC_TEST Deep Learning Artificial Intelligence
  • DIAGNOSTIC_TEST Green Learning Artificial Intelligence

Study Locations (1)

California

  • USC / Norris Comprehensive Cancer Center — Los Angeles

Trial Details

FieldValue
Enrollment Target 130 participants
Start Date 2025-09-19
Est. Completion 2028-10-15
Phase NA

Sponsor

University of Southern California

412 total trials

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Full Details on ClinicalTrials.gov ↗

What the Registry Record Tells You About NCT07162194

The ClinicalTrials.gov registry entry for NCT07162194 describes a study currently listed as recruiting. It is categorized as NA, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 130 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is University of Southern California, which has 412 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.

The record links to 1 condition, with Prostate Carcinoma appearing as the primary indexed condition, and to 5 interventions — of which Radical Prostatectomy is the first listed. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.

Geographic footprint matters for practical reasons: NCT07162194 reports 1 study location spanning 1 distinct geographic area — top geographies include California. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.

Frequently Asked Questions

What is clinical trial NCT07162194 about?

NCT07162194 is a clinical study titled "MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial". 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 perf...

What is the current status of trial NCT07162194?

This trial is currently recruiting. It is a NA study. The enrollment target is 130 participants. The study started on 2025-09-19. Estimated completion is 2028-10-15.

What conditions does trial NCT07162194 study?

This clinical trial studies the following conditions: Prostate Carcinoma. These conditions were identified from the trial registry and reflect the primary focus areas of the research.

What interventions are being tested in trial NCT07162194?

The interventions under investigation include: Radical Prostatectomy (PROCEDURE), Targeted Prostate Biopsy (PROCEDURE), Prostate Imaging Reporting & Data System (DIAGNOSTIC_TEST), Deep Learning Artificial Intelligence (DIAGNOSTIC_TEST), Green Learning Artificial Intelligence (DIAGNOSTIC_TEST). Each intervention is being evaluated for safety and efficacy as part of this clinical study.

Who is sponsoring clinical trial NCT07162194?

This trial is sponsored by University of Southern California, which has 412 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.

Where is trial NCT07162194 being conducted?

This trial has 1 study location across California. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial