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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
65
Undergo Dixon MRI
Undergo standard MRI
M D Anderson Cancer Center
Houston, Texas, United States
Detection of at least one or more prostate lesions with Dixon sequencing
Will evaluate and compare the accuracy of Dixon based sequencing to the conventional T2 weighted sequencing for detection of intraprostatic tumor and extraprostatic tumor extension. Lesions will be within any of six regions of the prostate: left apex, left mid, left base, right apex, right mid, and right base. The relative sensitivity and specificity of the two sequencing methods will be compared using an adjusted McNemar's test for clustered data where clusters consist of the matched pairs of within patient-zone observations. The primary analysis will also provide 95% confidence intervals for marginal sensitivity and specificity using a generalized linear mixed model.
Time frame: through study completion, an average of 1 year
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