Prostate Carcinoma Clinical Trial
Official title:
Prostate Cancer Diagnosis by Multiparametric Ultrasound (Clinical)
This phase III trial compares the use of contrast-enhanced multiparametric ultrasound (mp-US) to multiparametric magnetic resonance imaging (mp-MRI) for the diagnosis of clinically significant prostate cancer (PCa). A mp-US is a procedure in which a probe that sends out high-energy sound waves is inserted into the rectum. The sound waves are bounced off internal tissues or organs and make echoes. The echoes form a picture of body tissue called a sonogram. Perflutren lipid michrosphere (Definity) is a contrast agent that uses microbubbles to enhance ultrasound images of the prostate. Doctors hope to learn if the Definity-enhanced mp-US imaging technique can accurately direct targeted biopsy for the detection of clinically significant prostate cancer when compared to standard of care mp-MRI.
Status | Not yet recruiting |
Enrollment | 300 |
Est. completion date | February 2027 |
Est. primary completion date | August 1, 2026 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Subject must be scheduled for a prostate biopsy, based on an elevated PSA (> 3.0ng/ml) per most recent National Comprehensive Cancer Network (NCCN) guidelines, elevated PSA velocity (> 0.75ng/ml/year), or abnormal digital rectal examination - Subject must be able and willing to give written informed consent for a contrast enhanced ultrasound study of the prostate including the additional study biopsies - Subject must be a male at least 18 years of age when informed consent is obtained Exclusion Criteria: - Participant in a clinical trial involving an investigational drug within the past 30 days - Patients with known or suspected hypersensitivity to perflutren, polyethylene glycol (PEG), or any other component of Definity - Previous treatment for prostate cancer, including hormone therapy - Clinically unstable, severely ill, or moribund as per treating physician |
Country | Name | City | State |
---|---|---|---|
Netherlands | Amsterdam Medical Center | Amsterdam-Zuidoost | |
United States | Sidney Kimmel Cancer Center at Thomas Jefferson University | Philadelphia | Pennsylvania |
Lead Sponsor | Collaborator |
---|---|
Thomas Jefferson University | Amsterdam UMC, location VUmc, Eigen, Eindhoven University of Technology, GE Healthcare |
United States, Netherlands,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Prostate cancer (PCa) detection rate of 3-dimensional (3D) multiparametric ultrasound (mp-US) combined with systematic biopsy | Will compare PCa detection rate of 3D mp-US combined with systematic biopsy to detection rate of multiparametric magnetic resonance imaging (mp-MRI) combined with systematic biopsy. Will evaluate paired biopsy data for non-inferiority and superiority endpoints, comparing the detection rate of clinically significant PCa with mp-US + systematic biopsy to the detection rate of mp-MRI + systematic biopsy. This analysis will be repeated using both definitions of clinically significant PCa. Categorical data will be summarized as counts and percentages (or proportions) and continuous data will be summarized with descriptive statistics such as mean, standard deviation (SD), median, and range. | Up to 2 years | |
Secondary | PCa detection rate of 3D mp-US | Categorical data will be summarized as counts and percentages (or proportions) and continuous data will be summarized with descriptive statistics such as mean, SD, median, and range. Continuous data will be analyzed using t-tests, or log-rank tests if data are not normally distributed. Variance is expressed through 95% confidence intervals and a significance level of 5% with Bonferroni correction for multiple comparisons will be used to control the group-wise error of the study for individual comparisons. | Up to 2 years | |
Secondary | Accuracy of PCa detection by biopsy using the optimal logistical model based around mp-US compared to the optimal logistical model based around mp-MRI | Will evaluate the accuracty of the optimal logistic model combining the mp-US elements as well as the prostate specific antigen, prostate specific antigen velocity and other biological variables. | Up to 2 years |
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