RecruitingNCT04765150

Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

Sponsor

Jonsson Comprehensive Cancer Center

Enrollment

275 participants

Start Date

Apr 1, 2021

Study Type

OBSERVATIONAL

Conditions

Prostate Carcinoma

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

Sex: MALEMin Age: 18 Years

Inclusion Criteria4

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 Criteria3

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