Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
NCT04765150
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Prostate Carcinoma
Eligibility basics and study details
- Study type
- Observational
- Phase
- Not applicable
- Ages
- 18 years and older
- Sex
- Male
- Healthy volunteers
- Not accepted
- Sponsor
- Jonsson Comprehensive Cancer Center
- Last updated on ClinicalTrials.gov
- July 7, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
California · 1
- UCLA / Jonsson Comprehensive Cancer Center · Los Angeles, CA
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.