- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05078359
Optimizing Positive Predicting Value of Prostate MRI (PROMOD)
Optimizing Positive Predicting Value of Prostate Magnetic Resonance Imaging: Retrospective Multi-institutional Study Using the PRostate Mri Outcome Database (PROMOD)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Background:
In the recent years Magnetic Resonance Imaging (MRI) of the prostate and targeted biopsy have been shown to substantially improve detection of International Society of Urological Pathology (ISUP) prostate cancer (PCa) Gleason Grade Group (GG) ≥ 2, clinically significant prostate cancer (csPCa). In fact, 2020 European Association of Urology (EAU) guidelines recommend performing MRI before prostate biopsy in men with prior negative prostate biopsy as well as in biopsy naive men with a clinical suspicion of PCa. If MRI is positive, a combination of targeted and systematic biopsy should be performed. If MRI is negative, biopsy could be omitted based on the clinical suspicion of PCa and a shared decision-making with the patient. Such approach binds the decision to perform biopsy to the clinical suspicion of PCa to be determined using MRI, risk calculators, and biomarkers. While several risk calculators and biomarkers have been developed and are currently under evaluation, the 'MRI pathway' is supported by level 1 evidence but seems to be limited by the low to moderate inter-reader and inter-center reproducibility and the low specificity/positive predictive value.
Additionally, several techniques for target prostate biopsies have been described but recent studies found no significant differences among various methods of MRI targeted biopsy for csPCa detection.
The aim of this international multicenter project is to create a comprehensive database including multiple heterogeneous cohorts in order to explore inter-center differences in the accuracy of MRI, and define optimal strategies for selection of men who might benefit from biopsies.
Objectives:
- To investigate variables (such as lesion size, lesion location, number of biopsy cores per lesion) affecting the Positive predictive value (PPV) of prostate MRI on lesion level and patient level.
- To explore inter-center differences in PPV of prostate MRI and possible reasons for such differences on lesion level and patient level
- To evaluated combined use of MRI with prostate-specific antigen (PSA) and other clinical variables (such as age, race, history of prior negative prostate biopsy, use of 5-alpha-reductase inhibitor, family history of PCa/csPCa) in A. men with a clinical suspicion of PCa, B. men with diagnosed prostate cancer on active surveillance
- To assess if there is an optimal cut-off of MRI suspicious scores and PSA density (PSAd) in each individual institution.
5) to assess the impact of patient selection on biopsy rate and number of men who could safely avoid biopsy despite MRI suspicious findings in per center and pooled data analyses
Outcome:
Histological evidence of Clinically significant Prostate Cancer (csPCa), defined as Gleason score 3+4 or higher.
Inclusion criteria:
- Patients who received prostate biopsy with a pre-biopsy MRI.
- Additional inclusion criteria will be project-specific.
Methods:
Deidentified data from each cohort will be collected in a RedCap HIPPA compliant Database. Each center is responsible for the deidentification of the shared spreadsheet. The data handling center will be the University of Foggia (Foggia, Italy) and datasets will not be imported until data transfer agreements are complete between the institution sending data and the data handling center.
Data analysis Retrospective analyses of multiple prospective single- and multi-institutional clinical trials and cohort studies. The analysis will be performed on per center level as well using pooled dataset and will include comparisons of MRI and clinical, blood variables in men who underwent A. target biopsy only, B. targeted and systematic biopsy, C. systematic biopsy only. Decision curve analysis will be performed to assess the biopsy strategy with the higher clinical benefit.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Puglia
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Foggia, Puglia, Italy, 70100
- university ospital: Ospedali Riiuniti di Foggia
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
Patients who received prostate biopsy with a pre biopsy MRI.
Exclusion Criteria:
Patients who underwent previous treatments for prostate cancer Patients who underwent post biopsy MRI
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of patients with clinically significant prostate cancer detected at prostate biopsy
Time Frame: 3 to 5 weeks
|
Number of patients with histological evidence of clinically significant prostate cancer (defined as histologic Gleason Score 3+4 or higher) in prostate biopsy cores.
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3 to 5 weeks
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- OspedaliRFUrology01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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