Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
Status: Recruiting
Location: See location...
Intervention Type: Other, Procedure
Study Type: Observational
SUMMARY
This study evaluates how new magnetic resonance imaging (MRI) and artificial intelligence techniques improve the image quality and quantitative information for future prostate MRI exams in patients with suspicious of confirmed prostate cancer. The MRI and artificial intelligence techniques developed in this study may improve the accuracy in diagnosing prostate cancer in the future using less invasive techniques than what is currently used.
Eligibility
Participation Requirements
Sex: Male
Minimum Age: 18
Healthy Volunteers: f
View:
• Male patients 18 years of age and older
• Clinical suspicion of prostate cancer or biopsy-confirmed prostate cancer
• Undergone or undergoing multi-parametric 3 T prostate MRI at the University of California at Los Angeles (UCLA)
• Ability to provide consent
Locations
United States
California
UCLA / Jonsson Comprehensive Cancer Center
RECRUITING
Los Angeles
Contact Information
Primary
Nashla Barroso
nbarroso@mednet.ucla.edu
(310) 794-7952
Time Frame
Start Date: 2021-04-01
Estimated Completion Date: 2027-06-01
Participants
Target number of participants: 275
Treatments
Observational (electronic health record review, 3 T MRI)
RETROSPECTIVE: Patients' medical records are reviewed.~PROSPECTIVE: Patients undergo additional 3T MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.
Authors
Kyung H Sung
Related Therapeutic Areas
Sponsors
Leads: Jonsson Comprehensive Cancer Center
Collaborators: National Institutes of Health (NIH), National Cancer Institute (NCI)