Prostate Cancer Clinical Trial
— QmpMRIOfficial title:
Quantitative mpMRI to Predict Metastatic Potential of Prostate Cancer
The primary aim of this study is to assess the potential of quantitative MRI measurements to predict localized prostate cancer T-stage and disease spread to nodes (N-stage) by correlating quantitative MRI measurements of the local prostate to the presence of metastases as seen on PSMA-PET/CT.
Status | Not yet recruiting |
Enrollment | 30 |
Est. completion date | March 2023 |
Est. primary completion date | December 2022 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 50 Years and older |
Eligibility | Inclusion Criteria: - Histologically proven primary cancer of the prostate, based on prostate biopsy-core analysis. - Patient is scheduled and fit for PSMA-PET/CT - Age=50 years. Ability to give voluntary written informed consent to participate in this study. Exclusion Criteria: - Contraindication for MRI-scanning, i.e. claustrophobia, intracranial metal clips, metallic bodies in the eye, implanted electric and electronic devices not eligible for MRI (pacemakers, insulin pumps, cochlear implants, neurostimulators). - Prior prostate cancer treatment. - Prior pelvic surgery, associated with pelvic lymphadenopathy - Presence of any medical condition that in the opinion of the investigator/treating physician will affect patients' clinical status by participating in this trial. - Inability to lie still for 45 minutes or comply with imaging. - The patient is already enrolled in one or more concurrent studies, which could confound the results of this study, according to the investigators. |
Country | Name | City | State |
---|---|---|---|
Netherlands | Radboud university medical centre | Nijmegen |
Lead Sponsor | Collaborator |
---|---|
Radboud University Medical Center |
Netherlands,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | optimal combination of quantitative MRI parameters that best correlates to the presence of (lymph node) metastases in prostate cancer as seen on PSMA-PET/CT. | To find the optimal combination of quantitative parameters for discriminating between positive and negative PSMA-PET/CT, logistic regression modelling will be used. The performance of the model will be evaluated using receiver operating characteristic curve analysis. | within 14 days of PSMA-PET/CT scan, before any therapy | |
Secondary | the performance of individual quantitative MRI parameters discriminating localized from (oligo-)metastatic disease | To test the individual quantitative MRI parameters for a significant difference between localized and (oligo-)metastatic disease, non-parametric tests for independent groups (Mann-Whitney U test) will be used. The ability of each parameter to discriminate between positive and negative PSMA-PET/CT is assessed using receiver operating characteristic curve analysis, which allows comparison to the logistic regression model performance. | within 14 days of PSMA-PET/CT scan, before any therapy | |
Secondary | MR parameters that correlate to the amount of metastases as found on PSMA-PET/CT | Participants with a positive PET/CT scan result will be divided in groups according to the number of positive lymph nodes detected (if variance within participants allows). To test for significant differences between these groups for each of the quantitative parameters, the non-parametric tests for multiple independent groups (Kruskal Wallis) will be used. | within 14 days of PSMA-PET/CT scan, before any therapy | |
Secondary | MR parameters that correlate to local prostate PSMA-PET intensity | To test for a correlation between the quantitative parameters and the local prostate PSMA-PET intensity, a spearmans rho test for correlation between two continuous variables will be used. | within 14 days of PSMA-PET/CT scan, before any therapy |
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