Actively Recruiting
To Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
Led by Chinese University of Hong Kong · Updated on 2025-05-06
368
Participants Needed
1
Research Sites
198 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
It is a prospective paired-cohort study for diagnostic test evaluation. The study aim to determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. MRI image of about 368 men recommended for biopsy will be reviewed by an AI model and an experienced radiologist, respectively. AI review (index) and radiologist review (standard) will be blinded to each other, while biopsy urologists will be well-informed of the findings of both AI review and radiologist review and make personalized biopsy plan by combining both findings. The pathological results of MRI-ultrasound fusion biopsy (reference) will serve as the gold standard to assess the diagnostic accuracy.
CONDITIONS
Official Title
To Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients recommended for prostate biopsy for diagnosis or re-assessment.
- Men at least 18 years or over
- Patients with prostate MRI image eligible for radiologist review and AI review.
- Patient Informed Consent is signed.
You will not qualify if you...
- Patient contraindicated to prostate biopsy
- Patient failed to complete the biopsy procedure
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Prince of Wales Hospital, Chinese University of Hong Kong
Hong Kong, Hong Kong
Actively Recruiting
Research Team
P
Peter Ka-Fung CHIU, FRCS, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
NON_RANDOMIZED
Model
CROSSOVER
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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