Loading clinical trials...
Loading clinical trials...
Evaluation of MRI With Dixon Based Sequences in the Detection of Prostate Cancer
This trial studies the use of magnetic resonance imaging (MRI) with Dixon based imaging sequences in detecting prostate cancer. MRI uses radio waves and a powerful magnet linked to a computer to create detailed pictures of areas inside the body. Researchers hope to learn if using a modified MRI scan technique with Dixon based imaging sequencing will help to produce better images of prostate cancer than the standard of care MRI scan technique.
PRIMARY OBJECTIVES: I. Evaluate prospectively the accuracy of Dixon based sequences in detection of intraprostatic tumor nodules. II. Determine the sensitivity, specificity, positive and negative predictive value of Dixon based sequences in assessment of extraprostatic tumor extension and lymph node involvement. SECONDARY OBJECTIVES: I. Compare the accuracy of Dixon based sequences versus multiparametric diffusion weighted imaging including diffusion tensor imaging in tumor detection and extraprostatic extension. II. Compare the accuracy of Dixon based sequences in detection of transition zone tumors. III. Determine the optimal scanning parameters for Dixon based sequences in the imaging of prostate adenocarcinoma. OUTLINE: Patients undergo MRI with additional Dixon based sequences with fat and water over a total of 49 minutes.
Age
18 - No limit years
Sex
MALE
Healthy Volunteers
No
M D Anderson Cancer Center
Houston, Texas, United States
Start Date
April 25, 2013
Primary Completion Date
February 2, 2027
Completion Date
February 2, 2027
Last Updated
November 3, 2025
65
ESTIMATED participants
Dixon MRI
PROCEDURE
Magnetic Resonance Imaging
PROCEDURE
Lead Sponsor
M.D. Anderson Cancer Center
Collaborators
NCT04550494
NCT04857502
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and Conditions