Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

Sex: Male

Ages: 18 Years – N/A

Healthy volunteers: No

Enrollment: 275

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.

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

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT04765150). StuddyBuddy aggregates publicly available trial information.