Developing an Imaging-Based Tool to Identify Areas for Prostate Cancer Biopsy
- Conditions
- Prostate Cancer
- Interventions
- Procedure: Diagnostic MRIProcedure: Diagnostic Prostate BiopsyDevice: Risk Map DSS tool
- Registration Number
- NCT03585660
- Lead Sponsor
- University of Chicago
- Brief Summary
The purpose of the proposed research is to test and validate a Risk Map decision-support system (DSS) for prostate cancer Magnetic Resonance Imaging (MRI) interpretation and identification of clinically significant tumor site(s).
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- Male
- Target Recruitment
- 100
- Patients with known or suspected prostate cancer who have been referred to the Department of Radiology at the University of Chicago Medical Center for a diagnostic MRI exam of the prostate, to be followed by an MRI-guided fusion biopsy of the prostate.
- Written informed consent.
- Patients incapable of giving informed written consent;
- Patients who cannot adhere to the experimental protocols for any reason, or have an inability to communicate with the researcher;
- Patients with psychiatric disorders that affect their ability to consent for themselves will be excluded and not the entire population of patients with psychiatric disorders.
- Prisoners;
- Minor children (under the age of 18 years old).
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Interventional Arm Risk Map DSS tool Participants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors. Interventional Arm Diagnostic MRI Participants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors. Interventional Arm Diagnostic Prostate Biopsy Participants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors.
- Primary Outcome Measures
Name Time Method Accuracy of HM-MRI 12 months The accuracy of HM-MRI is defined as the proportion of correctly diagnosed participants for prostate cancer using HM-MRI.
Area Under the ROC Curve (AUC) of HM-MRI 12 months In the case of a binary predictor (HM-MRI), the area under a receiver operating characteristic (ROC) curve is equivalent to the average of sensitivity and specificity. The area under an ROC curve ranges from 0 to 1.
- Secondary Outcome Measures
Name Time Method Sensitivity of HM-MRI 12 months Sensitivity of HM-MRI is defined as the proportion of participants who were found positive of prostate cancer using HM-MRI among the participants who were found positive of prostate cancer using biopsy.
Specificity of HM-MRI 12 months Specificity of HM-MRI is defined as the proportion of participants who were found negative of prostate cancer using HM-MRI among the participants who were found negative using biopsy.
Positive Predictive Value (PPV) of HM-MRI 12 months Positive predictive value (PPV) of HM-MRI is defined as the proportion of participants who were found positive of prostate cancer using biopsy among the participants who were found positive using HM-MRI.
Negative Predictive Value (NPV) of HM-MRI 12 months Negative predictive value (NPV) of HM-MRI is defined as the proportion of participants who were found negative of prostate cancer using biopsy among the participants who were found negative using HM-MRI.
Trial Locations
- Locations (1)
University of Chicago Medical Center
🇺🇸Chicago, Illinois, United States