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Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

RECRUITINGSponsored by Jonsson Comprehensive Cancer Center
Actively Recruiting
SponsorJonsson Comprehensive Cancer Center
Started2021-04-01
Est. completion2026-06-01
Eligibility
Age18 Years+
SexMALE
Healthy vol.Accepted
Locations1 site
View on ClinicalTrials.gov →

NCT04765150

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

Age: 18 Years+Sex: MALEHealthy volunteers accepted
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

Conditions2

CancerProstate Carcinoma

Locations1 site

UCLA / Jonsson Comprehensive Cancer Center
Los Angeles, California, 90095
Nashla Barroso(310) 794-7952nbarroso@mednet.ucla.edu

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