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Developing an Imaging-Based Tool to Identify Areas for Prostate Cancer Biopsy

Not Applicable
Recruiting
Conditions
Prostate Cancer
Interventions
Procedure: Diagnostic MRI
Procedure: Diagnostic Prostate Biopsy
Device: 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
Inclusion Criteria
  • 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.
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Exclusion Criteria
  • 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).
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Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Interventional ArmRisk Map DSS toolParticipants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors.
Interventional ArmDiagnostic MRIParticipants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors.
Interventional ArmDiagnostic Prostate BiopsyParticipants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors.
Primary Outcome Measures
NameTimeMethod
Accuracy of HM-MRI12 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-MRI12 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
NameTimeMethod
Sensitivity of HM-MRI12 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-MRI12 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-MRI12 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-MRI12 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

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