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CompletedNCT03585660Updated Sep 19, 2024Results posted

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

An interventional study of Diagnostic MRI and Diagnostic Prostate Biopsy in Prostate Cancer, sponsored by University of Chicago. Completed at 1 site in United States. Open to male participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-09-19.

Sponsored by University of Chicago · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
106
Allocation
Not applicable
Ages
18 Years and older
Sex
Male
01

Study 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).

02

Conditions studied

  • Prostate Cancer

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03

In context

Prostatic Neoplasms

6,370 studies on the registry are indexed under Prostatic Neoplasms; 1,400 are open to participants now.

This study's enrollment of 106 is above the median of 58 across 4,822 interventional studies indexed under Prostatic Neoplasms.

Browse Prostatic Neoplasms studies →

Lead sponsor

University of Chicago is the lead sponsor of 907 studies on the registry; 182 are open to participants now.

Of its 99 completed or terminated interventional studies of FDA-regulated products, 68 (69%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Male
Accepts healthy volunteers
No

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.

Exclusion criteria

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).
05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
106 participants (actual)

Study arms

  • Experimental
    Interventional Arm

    Participants will undergo diagnostic MRI exam followed by clinical biopsies of suspected prostate cancer tumors.

    Procedure: Diagnostic MRI · Procedure: Diagnostic Prostate Biopsy · Device: Risk Map DSS tool

Interventions

  • ProcedureDiagnostic MRI

    Participants will be scanned using a standard clinical prostate MRI protocol.

  • ProcedureDiagnostic Prostate Biopsy

    Participants will undergo a prostate biopsy as their standard of care treatment. The provider performing biopsy will select areas to be biopsies as part of normal clinical judgment.

  • DeviceRisk Map DSS tool

    The Risk Map DSS tool will select up to 2 additional areas to be biopsied based on analysis of MRI images. The clinical provider will make final decision on areas to be biopsied.

06

What researchers measure

Primary outcomes

  1. Accuracy of HM-MRI

    The accuracy of HM-MRI is defined as the proportion of correctly diagnosed participants for prostate cancer using HM-MRI.

    Time frame: 12 months

  2. Area Under the ROC Curve (AUC) of HM-MRI

    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.

    Time frame: 12 months

Secondary outcomes

  1. Sensitivity of HM-MRI

    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.

    Time frame: 12 months

  2. Specificity of HM-MRI

    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.

    Time frame: 12 months

  3. Positive Predictive Value (PPV) of HM-MRI

    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.

    Time frame: 12 months

  4. Negative Predictive Value (NPV) of HM-MRI

    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.

    Time frame: 12 months

07

Results

Posted Sep 19, 2024

Participant flow

106 patients were enrolled in the study. Patients were recruited based on physician referral at UChicago Medical Center. The 1st patient was enrolled on August 28, 2018, and the last patient was enrolled on March 29, 2023.

Participant flow — Overall Study
MilestoneInterventional Arm
Started106
Completed91
Not completed15
Withdrew: Operator error1
Withdrew: Technical error2
Withdrew: Hip prosthesis2
Withdrew: Did not undergo biopsy8
Withdrew: Scanner problem2

Outcome measures

PrimaryAccuracy of HM-MRI

The accuracy of HM-MRI is defined as the proportion of correctly diagnosed participants for prostate cancer using HM-MRI.

Time frame:
12 months
Reported as:
Number · proportion of participants
Accuracy of HM-MRI
proportion of participantsInterventional Arm
Accuracy of HM-MRI0.55 (0.45 to 0.65)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = 0.02The standard error of the difference in accuracy was estimated using nonparametric bootstrap, with B=9999 resamples.
PrimaryArea Under the ROC Curve (AUC) of HM-MRI

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.

Time frame:
12 months
Reported as:
Mean · probability
Area Under the ROC Curve (AUC) of HM-MRI
probabilityInterventional Arm
Area Under the ROC Curve (AUC) of HM-MRI0.63 (0.52 to 0.74)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = 0.08The standard error of the difference of AUCs was estimated using nonparametric bootstrap, with B=9999 resamples.
SecondarySensitivity of HM-MRI

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.

Time frame:
12 months
Reported as:
Number · proportion of participants
Sensitivity of HM-MRI
proportion of participantsInterventional Arm
Sensitivity of HM-MRI0.91 (0.81 to 1)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = 0.97
SecondarySpecificity of HM-MRI

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.

Time frame:
12 months
Reported as:
Number · proportion of participants
Specificity of HM-MRI
proportion of participantsInterventional Arm
Specificity of HM-MRI0.36 (0.23 to 0.48)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = <0.01
SecondaryPositive Predictive Value (PPV) of HM-MRI

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.

Time frame:
12 months
Reported as:
Number · proportion of participants
Positive Predictive Value (PPV) of HM-MRI
proportion of participantsInterventional Arm
Positive Predictive Value (PPV) of HM-MRI0.43 (0.31 to 0.55)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = 0.06
SecondaryNegative Predictive Value (NPV) of HM-MRI

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.

Time frame:
12 months
Reported as:
Number · proportion of participants
Negative Predictive Value (NPV) of HM-MRI
proportion of participantsInterventional Arm
Negative Predictive Value (NPV) of HM-MRI0.88 (0.74 to 1)
Statistical analysis
  • Interventional Arm · bootstrap z-test · p = 0.97

Adverse events

Collected over 12 months. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Interventional Arm0/106 (0%)0/106 (0%)0/106 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Interventional Arm
Mean64.44 ± 7.68
Sex: Female, Male
Sex: Female, Male(Participants)Interventional Arm
Female0
Male106
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)Interventional Arm
Asian4
Black27
Hispanic8
Unknown4
White63
Prostate Specific Antigen (PSA)
Prostate Specific Antigen (PSA)(ng/mL)Interventional Arm
Mean8.81 ± 11.69
08

Study locations

1 site
  • University of Chicago Medical Center
    Chicago, Illinois 60637, United States
09

References and documents

Study documents

  • Protocol and statistical analysis plan · Jun 10, 2022
  • Informed consent form · Mar 28, 2024

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Undecided

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 19, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03585660
Lead sponsor
University of Chicago
Responsible party
Sponsor
First posted
Jul 13, 2018
Start date
Aug 28, 2018
Primary completion
Jun 9, 2023
Completion
Nov 6, 2023
Results posted
Sep 19, 2024
Last update
Sep 19, 2024

Study contacts

Aytekin Oto, MD
principal investigator · University of Chicago

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in May 2024. You cannot join it, but the record below documents what was studied.

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