The purpose of this research study is to determine if the interpretation of multiparametric MRI (mpMRI) with an algorithm called habitat risk score (HRS) in combination with a panel of blood and urine biomarkers is more effective at detecting prostate cancer than standard of care interpretation of mpMRI with the Prostate Imaging Reporting and Data System (PIRADS).
Study Type
OBSERVATIONAL
Enrollment
289
University of Miami
Miami, Florida, United States
Negative Predictive Value (NPV) for ruling out GG2+ prostate cancer via Habitat Risk Score (HRS) MRI Interpretation software combined with a panel of blood and urine biomarkers, versus via standard of care (SoC) MRI interpretation with PIRADS v2.
The investigators will assess whether automated quantitative HRS MRI interpretation software combined with a panel of blood and urine biomarkers incrementally improves the negative predictive value for ruling out GG2+ cancer on prostate biopsy by 30% or more above standard of care (SoC) MRI interpretation with PIRADS v2.
Time frame: Up to 24 months
NPV for ruling out GG2+ prostate cancer via HRS MRI Interpretation software versus via SoC MRI interpretation with PIRADS v2
The investigators will assess whether automated quantitative HRS MRI interpretation software can incrementally improve the negative predictive value (NPV) for ruling out GG2+ cancer on prostate biopsy by 20% or more above SoC MRI interpretation with PIRADS v2.
Time frame: Up to 24 months
NPV for ruling out GG2+ prostate cancer by a panel of blood and urine biomarkers versus via SoC MRI interpretation with PIRADS v2
The investigators will assess whether a panel of blood and urine biomarkers can incrementally improve the negative predictive value (NPV) for ruling out GG2+ cancer on prostate biopsy by 10% or more above SoC MRI interpretation with PIRADS v2.
Time frame: Up to 24 months
NPV for ruling out clinically significant prostate cancer via HRS MRI interpretation software combined with a panel of blood and urine biomarkers versus via SoC MRI interpretation with PIRADS v2
The investigators will assess whether automated quantitative HRS MRI interpretation software combined with a panel of blood and urine biomarkers incrementally improves the negative predictive value for ruling out clinically significant prostate cancer (defined as any GG2+ cancer OR 50% or more cores of GG1 cancer) on prostate biopsy by 30% or more above standard of care MRI interpretation with PIRADS v2
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Time frame: Up to 24 months