Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

Part of paid clinical trials in Los Angeles, California.

Sponsor
Jonsson Comprehensive Cancer Center
Study ID
NCT04765150
Status
Recruiting
Apply to this trial

Conditions

Eligibility Criteria

Sex
MALE
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • 3 Tesla Magnetic Resonance Imaging — PROCEDURE
    Undergo 3T MRI
  • Electronic Health Record Review — OTHER
    Medical charts are reviewed

Study Details

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 Dates

Start date
Apr 1, 2021
Status verified
May 2026
Primary completion
Jun 1, 2026
Completion
Jun 1, 2027

Study Design

Enrollment
275 participants (estimated)

Arms

  • Arm: Observational (electronic health record review, 3 T MRI)
    RETROSPECTIVE: Patients' medical records are reviewed. PROSPECTIVE: Patients undergo additional 3T MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.

Primary Outcome Measure

Development of quantitative dynamic contrast (DCE)-enhanced-magnetic resonance imaging (MRI) analysis techniques [ Time Frame: Up to 5 years ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
UCLA / Jonsson Comprehensive Cancer CenterLos AngelesCalifornia90095
Nashla Barroso
[email protected]
310-794-7952
Kyung H. Sung, PhD (PRINCIPAL_INVESTIGATOR)

Find similar trials in Los Angeles, CA

By condition
Prostate cancer
By specialty
OncologyProstate oncologyMen's healthUrology
By research site
UCLA / Jonsson Comprehensive Cancer Center· Los Angeles, CA

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