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| Name | Class |
|---|---|
| Angiogenesis Analytics | INDUSTRY |
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The goal of this clinical trial is to learn if a new ultrasound-based imaging method (PCaVision) can accurately detect clinically significant prostate cancer in adult men (18 years and older) who are either undergoing initial evaluation or are already in active surveillance for prostate cancer. The main questions it aims to answer are:
Researchers will compare PCaVision-guided biopsies to MRI-guided biopsies to see if PCaVision performs as well as MRI in identifying aggressive prostate cancers.
Participants will:
Rationale The incidence of prostate cancer (PCa) has increased over the years. To diagnose PCa, histopathological confirmation is required. Different diagnostic pathways are currently available. Systematic biopsies have long been the cornerstone in the diagnostic work-up of men suspected of prostate cancer. However, systematic biopsies can lead to under-diagnosis of clinically significant prostate cancer (csPCa), and each biopsy is associated with the risk of infection and other side effects.
In the magnetic resonance imaging (MRI) pathway, targeted biopsies are only performed when suspicious lesions are detected on MRI. The MRI pathway purposely detects fewer clinically insignificant prostate cancers (ciPCa), but has an increased sensitivity for csPCa and improved localization accuracy of suspicious regions. The MRI-based strategy is now recommended as the first-line investigation. However, reported sensitivities and specificities for MRI vary widely between studies, which can be attributed to differences in MRI equipment, study design, reference standard quality, and inter-observer variability. Moreover, MRI has limited availability and is a time-consuming and expensive imaging modality.
Transrectal ultrasound (TRUS), which is widely available, more cost-effective, and familiar to urologists, may offer a valid alternative. In an ultrasound-based diagnostic pathway, 3D contrast-enhanced ultrasound (CEUS) combined with contrast ultrasound dispersion imaging (CUDI) focuses on detecting angiogenetic changes in the microvascular architecture to localize lesions suspicious for PCa, followed by targeted biopsies for histological confirmation.
PCaVision is a software package designed to support the diagnosis of csPCa by integrating 3D B-mode, 3D Shear Wave Elastography (SWE), and 4D CEUS scans. The PCaVision algorithm was trained on a cohort of 252 patients using prostatectomy pathology as the reference standard, and 83 "negative" patients (no suspicious MRI lesions or positive prostate biopsies). Internal validation showed a sensitivity and specificity of 0.82 and 0.82, respectively. These results led to a first prospective clinical investigation in the Netherlands to demonstrate non-inferiority compared to the MRI-based pathway (NCT06281769). That initial prospective trial aimed to compare the two diagnostic pathways in biopsy-naïve patients under tightly controlled conditions (e.g., 3T MRI, transperineal biopsies, and cognitive or fusion targeting using MIM software). These conditions, however, are not generalizable across Europe, where 1.5T and 3T MRI are used interchangeably, both transperineal and transrectal biopsy approaches are employed, and various fusion systems are in use. Additionally, the previous study excluded patients in active surveillance (AS) and those with prior negative biopsies, who represent a substantial portion of the demand for PCa diagnosis and biopsy guidance.
The objective of the European head-to-head trial described in this protocol is to compare the diagnostic accuracy of two different imaging pathways for detecting csPCa in a broader, more generalizable European setting: (1) the PCaVision-targeted biopsy pathway and (2) the MRI-targeted biopsy pathway. The trial aims to demonstrate the non-inferiority of the PCaVision pathway compared to the MRI pathway in two cohorts: (1) biopsy-naïve and prior negative patients and (2) patients undergoing active surveillance. A fully paired design will be used. The updated PCaVision version 1.1 will be employed in this study, incorporating enhancements to reduce unusable scans and improve diagnostic accuracy and user experience.
Objective
The primary objective is to demonstrate the non-inferiority of csPCa detection in targeted biopsies guided by PCaVision imaging (PCaVision pathway) compared to targeted biopsies guided by MRI (MRI pathway) in two distinct patient cohorts:
The secondary objectives include:
Comparing the proportion of participants in whom targeted biopsies could be safely omitted in the PCaVision pathway versus the MRI pathway. Safe omission is defined as no lesions identified for targeted biopsy by PCaVision and no csPCa detected by MRI-targeted or systematic biopsies.
Conducting the same diagnostic comparison across different definitions of csPCa, including:
Comparing the number of participants for whom PCaVision or MRI produced insufficient image quality.
Calculating csPCa detection rates across specific subgroups:
Intervention
All participants will undergo both:
Biopsy procedure:
Selection criteria:
Main Study Endpoint The primary endpoint is the detection of clinically significant prostate cancer (GG ≥ 2) based on histopathological examination of targeted biopsies. The study aims to demonstrate that detection using the PCaVision pathway is not inferior to detection using the MRI pathway within a predefined non-inferiority margin of 5 percentage points for both patient cohorts.
Burden, Risks, and Benefits In most participating centers, current clinical care involves MRI-targeted and possibly systematic biopsies. These care practices will remain unchanged in the study. Systematic biopsies are not part of the formal head-to-head comparison between MRI and PCaVision.
Potential benefits to participants include detection of additional cancers that MRI may miss. Broader study results may help expand access to effective diagnostic imaging, especially in settings with limited MRI availability.
Additional targeted biopsies may be required based on PCaVision findings, which carry minor risks such as infection or bleeding. The use of ultrasound contrast agent may pose minimal and rare risks, typically transient and mild. Overall, the burden and risk associated with participation are considered low.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PCaVision Imaging + PCaVision-Targeted Biopsy | Experimental | Participants undergo 3D multiparametric ultrasound (mpUS) imaging using PCaVision, a software-assisted diagnostic tool that combines B-mode, Shear Wave Elastography, and Contrast-Enhanced Ultrasound (CEUS). Suspicious lesions identified by PCaVision will be targeted for biopsy (up to 2 lesions, 3 cores each).
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| MRI Imaging + MRI-Targeted Biopsy | Active Comparator | Participants undergo multiparametric MRI (mpMRI) of the prostate using 1.5T or 3T MRI systems. Suspicious lesions identified by MRI will be targeted for biopsy (up to 2 lesions, 3 cores each).
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| transrectal ultrasound of prostate (TRUS) with AI software algorithm | Diagnostic Test | Transrectal ultrasound of prostate (TRUS) with AI software algorithm for detection of lesions suspected for prostate cancer |
| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants With Clinically Significant Prostate Cancer (csPCa) Detected by PCaVision-Targeted Biopsies Compared to MRI-Targeted Biopsies | Clinically significant prostate cancer (csPCa) is defined as ISUP Grade Group (GG) ≥ 2. The number of participants in whom csPCa is detected through PCaVision-targeted biopsies will be compared to the number of participants with csPCa detected through MRI-targeted biopsies. The comparison will be performed separately for two patient cohorts:
| 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants With No Suspicious Lesions on PCaVision and No Clinically Significant Prostate Cancer (csPCa) Detected by MRI-Targeted or Systematic Biopsies | This outcome measures the number of participants for whom PCaVision did not identify any suspicious lesions and in whom no csPCa (ISUP Grade Group ≥ 2) was subsequently found on MRI-targeted or systematic biopsies. The purpose is to evaluate the potential for safely omitting biopsies when PCaVision imaging does not indicate suspicion of csPCa. Data will be reported as a count and proportion of participants meeting this criterion. |
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Inclusion criteria:
male
18 years of age or older
scheduled for evaluation by prostate MRI due to:
Have provided written informed consent
Exclusion criteria:
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| Name | Affiliation | Role |
|---|---|---|
| dr. Oddens, MD, PhD | Amsterdam UMC | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Institut Paoli- Calmettes | Marseille | France | ||||
| L'Institut Mutualiste Montsouris |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34324383 | Background | Jager A, Vilanova JC, Michi M, Wijkstra H, Oddens JR. The challenge of prostate biopsy guidance in the era of mpMRI detected lesion: ultrasound-guided versus in-bore biopsy. Br J Radiol. 2022 Mar 1;95(1131):20210363. doi: 10.1259/bjr.20210363. Epub 2021 Jul 29. | |
| 12431818 | Background | van Moorselaar RJ, Voest EE. Angiogenesis in prostate cancer: its role in disease progression and possible therapeutic approaches. Mol Cell Endocrinol. 2002 Nov 29;197(1-2):239-50. doi: 10.1016/s0303-7207(02)00262-9. |
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IPD Sharing Statement Section
De-identified individual participant data (IPD) will be shared with qualified researchers after the main study results are published. Data sharing will be governed by a data use agreement and ethical approvals.
• IPD Description:
The following individual-level data will be shared:
Participant demographics (e.g., age, PSA level, clinical cohort)
Imaging results from PCaVision and MRI (e.g., lesion scores, heatmaps, image quality)
Histopathological biopsy outcomes (e.g., ISUP Grade Group, csPCa status)
Subgroup classifications (e.g., use of 5-ARI, prior prostate surgery)
Imaging quality and adverse events (de-identified)
• Supporting Documents:
Study Protocol
Statistical Analysis Plan (SAP)
Informed Consent Form (ICF) [if permitted] • Time Frame: Data will become available after publication of the primary results and completion of the trial, estimated to be around March 2026. Data will remain avail
Data will become available after publication of the primary results and completion of the trial, estimated to be around March 2026. Data will remain available for at least 5 years thereafter.
Data will be shared with qualified researchers affiliated with academic institutions or non-profit organizations. Requests must include a methodologically sound proposal and will require a data use agreement.
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This study uses a fully paired design, where each participant undergoes both interventions - PCaVision and MRI imaging - and receives biopsies based on each modality within the same study period.
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Masking of Image Interpreters and Outcome Assessors
| MRI prostate | Diagnostic Test | MRI for detection of lesions suspected for prostate cancer |
|
| 12 months |
| Number of Participants With Prostate Cancer Detected by PCaVision or MRI According to Alternative Definitions of Clinically Significant Cancer | This outcome measures the number of participants in whom prostate cancer is detected through PCaVision-targeted or MRI-targeted biopsies using three different histopathological definitions:
The data will be reported as the number and proportion of participants in each category for both imaging pathways. | 12 months |
| Number of Participants With Insufficient Image Quality for Diagnostic Assessment on PCaVision or MRI | This outcome measures the number of participants for whom the image quality of either PCaVision or MRI was rated as insufficient to allow for a diagnostic assessment. Insufficient quality is defined per site-specific criteria or based on the inability to identify or evaluate prostate lesions using the imaging modality. Data will be reported as the number and proportion of participants with insufficient image quality for each imaging technique. | 12 months |
| Number of Participants With Clinically Significant Prostate Cancer (csPCa) Detected in Prespecified Subgroups | This outcome measures the number and proportion of participants with csPCa (ISUP Grade Group ≥ 2) detected through targeted biopsies (PCaVision and/or MRI) within the following subgroups:
Detection rates will be compared across these subgroups for each imaging pathway. | 12 months |
| Paris |
| France |
| University Klinikum Bonn | Bonn | Germany |
| Martini-Klinik am UKE | Hamburg | Germany |
| Urologische Klinik München- Planegg | Planegg | Germany |
| Università degli Studi di Foggia | Foggia | Italy |
| University of Padua | Padova | Italy |
| Amsterdam UMC | Amsterdam | Netherlands |
| Oslo University hospital Ullevål | Oslo | Norway |
| Fundació Puigvert | Barcelona | Spain |
| 39050912 | Background | van den Kroonenberg DL, Jager A, Garrido-Utrilla A, Reitsma JB, Postema AW, Beerlage HP, Oddens JR. Clinical Validation of Multiparametric Ultrasound for Detecting Clinically Significant Prostate Cancer Using Computer-Aided Diagnosis: A Direct Comparison with the Magnetic Resonance Imaging Pathway. Eur Urol Open Sci. 2024 Jul 1;66:60-66. doi: 10.1016/j.euros.2024.06.012. eCollection 2024 Aug. |
| 40175990 | Background | Jager A, Zwart MJ, Postema AW, van den Kroonenberg DL, Zwart W, Beerlage HP, Oddens JR, Mischi M. Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound. BMC Urol. 2025 Apr 3;25(1):73. doi: 10.1186/s12894-025-01736-4. |
| ID | Term |
|---|---|
| D011471 | Prostatic Neoplasms |
| ID | Term |
|---|---|
| D005834 | Genital Neoplasms, Male |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D005832 | Genital Diseases, Male |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D011469 | Prostatic Diseases |
| D052801 | Male Urogenital Diseases |
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