Home › Prostate Cancer › NCT04765150
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
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
- 3 Tesla Magnetic Resonance Imaging (procedure)
- Electronic Health Record Review (other)
Sponsor: Jonsson Comprehensive Cancer Center · Participants: 275 · Started: Apr 1, 2021
Contact the study team
- Nashla Barroso · Phone: (310) 794-7952
Official record on ClinicalTrials.gov — NCT04765150
Locations in the U.S.
| California | UCLA / 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.