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TULIP ReTrain Study

Optimization of PCaVision: A Prospective Study for CAD-based Detection of Clinically Significant Prostate Cancer Using mpUS and Contrast Agents

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06974539
Acronym
TULIP ReTrain
Enrollment
212
Registered
2025-05-16
Start date
2025-07-31
Completion date
2026-12-31
Last updated
2025-05-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Keywords

mpUS, CEUS, PCaVision, CAD, Optison, Sonovue, radical prostatectomy, AI diagnosis

Brief summary

This prospective clinical study aims to retrain and validate the PCaVision AI algorithm for the detection and localization of clinically significant prostate cancer (csPCa) using multiparametric ultrasound (mpUS) with two different ultrasound contrast agents: Sonovue and Optison. Data will be collected using a commercial version of the LOGIQ E10 ultrasound machine, with full histopathological correlation in patients undergoing radical prostatectomy.

Detailed description

The PCaVision CAD system was initially developed using Sonovue contrast and a research-only ultrasound machine (LOGIQ E10 R3). In this study, the algorithm will be retrained using data acquired from the LOGIQ E10 R4, a commercially available system, and using both Sonovue and Optison as contrast agents. The goal is to enhance generalizability and enable broader clinical adoption. The study includes two cohorts: patients scheduled for radical prostatectomy (for training and voxel-level validation) and patients with a negative prostate MRI (for patient-level specificity evaluation). All participants will undergo 3D transrectal mpUS with both contrast agents in a single session. Full prostate histology from RP specimens will serve as the reference standard.

Interventions

DIAGNOSTIC_TESTMultiparametric ultrasound with contrast (Sonovue and Optison)

Participants will receive 3D mpUS using both Sonovue and Optison contrast agents during a single transrectal imaging session.

Sponsors

Angiogenesis Analytics
CollaboratorINDUSTRY
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Male ≥18 years * Cohort 1: Histologically confirmed prostate cancer scheduled for radical prostatectomy * Cohort 2: Negative multiparametric prostate MRI (PI-RADS ≤ 2)

Exclusion criteria

* Severe pulmonary hypertension * Cardiac right-to-left shunt * Known allergy to Sonovue or Optison * Contraindication for ultrasound contrast agents

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity and Specificity of PCaVision Algorithm (Sonovue and Optison) Compared to HistopathologyFrom baseline imaging to histopathology report (typically within 2-4 weeks post-surgery)Sensitivity and specificity of the PCaVision algorithm in detecting and localizing clinically significant prostate cancer (csPCa, Gleason Grade Group ≥2) at the voxel level, based on 3D multiparametric ultrasound (mpUS) images using Sonovue and Optison, validated against full prostate histology after radical prostatectomy.

Secondary

MeasureTime frameDescription
Specificity of PCaVision in MRI-Negative CohortFrom baseline imaging to completion of image processing and analysis (within 2 weeks of scan)Evaluation of the specificity of the PCaVision algorithm for csPCa detection at the patient level in men with a negative prostate MRI (PI-RADS ≤2), using mpUS imaging with Sonovue and Optison.
Diagnostic Performance Comparison Between Sonovue and OptisonImaging and analysis completed within 4 weeks post-surgeryHead-to-head comparison of diagnostic performance (sensitivity, specificity, AUC) of PCaVision on mpUS scans obtained with Sonovue versus Optison, using RP histopathology as reference. Evaluated at voxel level and using simulated biopsy protocols.

Countries

Netherlands

Contacts

Primary ContactStijn van den Bosch, MD
s.m.vandenbosch@amsterdamumc.nl+31646310728
Backup ContactDaniel van den Kroonenberg, MD
d.kroonenbergvanden@amsterdamumc.nl+31639345375

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026