Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

Recruiting now

Conditions studied: Prostate Carcinoma

In brief

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.

Key facts

Study ID

NCT04765150

Run by

Jonsson Comprehensive Cancer Center

People needed

275

Starts

2021-04-01

Expected to finish

2028-06-01

Last updated by the study team

2026-07-07

Who can join

Age: 18 and older. Sex: male. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• 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

Where it is running

• UCLA / Jonsson Comprehensive Cancer Center — Los Angeles, California, United States (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.