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Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

RecruitingObservational study

Who can join

Ages 18 and older · Men

Full eligibility criteria
Inclusion Criteria:

* 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

Exclusion Criteria:

* Contraindications to MRI (e.g., cardiac devices, prosthetic valves, severe claustrophobia)
* Contraindications to gadolinium contrast-based agents other than the possibility of an allergic reaction to the gadolinium contrast-based agent
* Prior radiotherapy

About the study

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.

What is being tested

Sponsor: Jonsson Comprehensive Cancer Center · Participants: 275 · Started: Apr 1, 2021

Contact the study team

Official record on ClinicalTrials.gov — NCT04765150

Locations in the U.S.

CaliforniaUCLA / Jonsson Comprehensive Cancer Center, Los Angeles

Conditions

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.