Skip to content
TrialMatch
Sign up
Recruiting

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

Create a profile to match View the full record on ClinicalTrials.gov

About this study

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.

Condition
Prostate Carcinoma
Tested
Targeted Prostate Biopsy, Prostate Imaging Reporting & Data System, Deep Learning Artificial Intelligence, Green Learnin...
Sponsor
University of Southern California

Who can join

Age
20 years and older
Sex
Male only
Healthy volunteers
Not accepted

Inclusion 9

  • Minimum age: 20 years
  • Eligible sex: Male
  • Study condition: Prostate Carcinoma
  • 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 14

  • 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

1 site, 1 recruiting

USC / Norris Comprehensive Cancer Center

Los Angeles, California, United States

Recruiting

Contact

Potential match only. Final eligibility is determined by the study team.