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Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

NCT04765150 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 275

Last updated 2025-05-13

No results posted yet for this study

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.

Conditions

  • Prostate Carcinoma

Interventions

PROCEDURE

3 Tesla Magnetic Resonance Imaging

Undergo 3T MRI

OTHER

Electronic Health Record Review

Medical charts are reviewed

Sponsors & Collaborators

  • National Institutes of Health (NIH)

    collaborator NIH

  • National Cancer Institute (NCI)

    collaborator NIH

  • Jonsson Comprehensive Cancer Center

    lead OTHER

Principal Investigators

  • Kyung H Sung, PhD · UCLA / Jonsson Comprehensive Cancer Center

Eligibility

Min Age
18 Years
Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-01
Primary Completion
2026-06-01
Completion
2027-06-01

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04765150 on ClinicalTrials.gov