Clinical Trials Directory

Trials / Recruiting

RecruitingNCT04765150

Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

Status
Recruiting
Phase
—
Study type
Observational
Enrollment
275 (estimated)
Sponsor
Jonsson Comprehensive Cancer Center · Academic / Other
Sex
Male
Age
18 Years
Healthy volunteers
Not accepted

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.

Detailed description

PRIMARY OBJECTIVES: I. To develop and evaluate quantitative dynamic contrast-enhanced (DCE)-MRI analysis techniques that minimize patient- and scanner-specific variabilities in the calculation of quantitative parameters. II. To develop and evaluate diffusion weighted imaging (DWI) methods that reduce prostate geometric distortion due to patient- and scanner-specific susceptibility and eddy current effects. III. To develop and evaluate multi-class deep learning models that systematically integrate quantitative multi-parametric (mp)-MRI features for accurate detection and classification of clinically significant prostate cancer (csPCa). OUTLINE: RETROSPECTIVE: Patients' medical records are reviewed. PROSPECTIVE: Patients undergo additional 3 Tesla (T) MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.

Conditions

Interventions

TypeNameDescription
PROCEDURE3 Tesla Magnetic Resonance ImagingUndergo 3T MRI
OTHERElectronic Health Record ReviewMedical charts are reviewed

Timeline

Start date
2021-04-01
Primary completion
2026-06-01
Completion
2027-06-01
First posted
2021-02-21
Last updated
2025-05-13

Locations

1 site across 1 country: United States

Source: ClinicalTrials.gov record NCT04765150. Inclusion in this directory is not an endorsement.