ExoDx Test for Men with High PSA and Negative MRI
This study is looking at a new urine test called ExoDx to help decide if men with high PSA (Prostate-specific antigen, a blood test that can indicate prostate problems) and a negative MRI (Magnetic Resonance Imaging, a type of scan) still need a prostate biopsy. Currently, MRI helps decide who needs a biopsy, but it can miss some cancers. The ExoDx test analyzes specific genes in your urine to predict the presence of prostate cancer. Researchers want to see how well the ExoDx test (urinary ExoDx test) works at identifying prostate cancer compared to standard prostate biopsies (transrectal ultrasound-guided prostate biopsy or transperineal 12-core prostate biopsy). You might be able to join if you are a man aged 18 or older with a PSA between 2.0 and 10.0 ng/mL. The study aims to enroll 425 participants.
- Study design
- This is an interventional study, meaning participants will receive specific tests. It plans to enroll 425 men.
- What's involved
- You would provide a urine sample for the ExoDx test, and then undergo a prostate biopsy as part of standard medical practice.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will measure outcomes like sensitivity and specificity for an average of 3 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
ExosomeDx in MRI-negative Men With High PSA
At a glance
Conditions
Where it's being run
6 sites across 1 statesStudy leadership
- Nikhil Waingankar, MD · PRINCIPAL_INVESTIGATOR · Icahn School of Medicine at Mount Sinai
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Sensitivityduration of study, average 3 months
Sensitivity is defined as the probability that clinically significant cancer is detected when it is cancer. Sensitivity = true positive cases / true positive cases + false negative cases
- Specificityduration of study, average 3 months
Specificity is defined as the probability that clinically significant cancer is not detected when it is not cancer. Specificity = true negative cases / true negative cases + false positive cases