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Clinical Trials/NCT06360523
NCT06360523RecruitingNot Applicable

ProstateAI - A Prospective Paired Validating Cohort Study to Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence

Chinese University of Hong Kong1 site in 1 country368 target enrollmentStarted: June 14, 2024Last updated:
Conditions
Interventions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
368
Locations
1
Primary Endpoint
Prostate Cancer detection rate of ISUP grade group ≥2

Study Overview

Brief Summary

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.

Detailed Description

ProstateAI is a prospective paired-cohort study for diagnostic test evaluation. ProstateAI will 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.

Study Design

Study Type
Interventional
Allocation
Non Randomized
Intervention Model
Crossover
Primary Purpose
Diagnostic
Masking
Single (Care Provider)

Masking Description

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.

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
Male
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •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.

Exclusion Criteria

  • •Patient contraindicated to prostate biopsy
  • •Patient failed to complete the biopsy procedure

Arms & Interventions

AI review (index)

Experimental

self-paired design, AI review (index)

Intervention: AI modal (Diagnostic Test)

Radiologist review (Standard)

Active Comparator

self-paired design, radiologist review (standard)

Intervention: Standard review (Diagnostic Test)

Outcomes

Primary Outcomes

Prostate Cancer detection rate of ISUP grade group ≥2

Time Frame: Through study completion, an average of 1 year

Assessed by AI review, Radiologist review, and Biopsy (Targeted).

Secondary Outcomes

  • Diagnosis of any grade of prostate cancer(Through study completion, an average of 1 year)

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

CHIU Ka Fung Peter

Associate Professor

Chinese University of Hong Kong

Study Sites (1)

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