Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
About This Trial
- This study is testing whether combining new MRI scanning methods with artificial intelligence (AI) can help doctors detect and evaluate prostate cancer more accurately.
- It is designed for adult men who are suspected of having prostate cancer or already have a diagnosis, and who are receiving a prostate MRI at UCLA.
- Before joining, patients should know that they must be able to safely undergo an MRI scan with contrast dye and must not have received prior radiation treatment.
More Information
- 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.
Who Can Enroll
- Age Range: 18 years and older
- Gender: Male
- Who This Trial is For: This study is testing whether combining new MRI scanning methods with artificial intelligence (AI) can help doctors detect and evaluate prostate cancer more accurately.
Study Details
- Start Date: April 1, 2021
- Lead Sponsor: Jonsson Comprehensive Cancer Center
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
Treatments
- Procedure: 3 Tesla Magnetic Resonance Imaging
- Other: Electronic Health Record Review