Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification (NCT04765150)
🩺 Plain-English Summary (8th-Grade Level)
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 join: To join this study, participants generally need to meet the listed inclusion criteria (4 items) and avoid the listed exclusions (4 items).
Location: UCLA / Jonsson Comprehensive Cancer Center — Los Angeles, California
📋 "Do I Qualify?" — 1-Minute Self Screener
Instant ChecklistCheck every box below. If you can check all of them, you may meet the study's basic screening requirements (final eligibility is confirmed by the site team).
Usually NOT eligible if any of the following apply:
- 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
🔍 Extracted verbatim from the official NIH eligibility criteria. Always confirm with the study coordinator.
📍 All Participating Trial Locations (1 Sites)
- UCLA / Jonsson Comprehensive Cancer Center — Los Angeles, California
💰 Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA § 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.