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Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
Sponsor: Jonsson Comprehensive Cancer Center
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.
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
275
Start Date
2021-04-01
Completion Date
2027-06-01
Last Updated
2025-05-13
Healthy Volunteers
No
Conditions
Interventions
3 Tesla Magnetic Resonance Imaging
Undergo 3T MRI
Electronic Health Record Review
Medical charts are reviewed
Locations (1)
UCLA / Jonsson Comprehensive Cancer Center
Los Angeles, California, United States