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To Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06360523
Enrollment
368
Registered
2024-04-11
Start date
2024-06-14
Completion date
2028-03-31
Last updated
2025-05-06

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

Conditions

Prostate Cancer

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.

Interventions

DIAGNOSTIC_TESTAI modal

The MRI image will be reviewed by radiologist and AI model(s) respectively. The urologist will combine the results of the two approaches to optimize the biopsy strategy which is expected to result in more accurate diagnosis.

DIAGNOSTIC_TESTStandard review

The MRI image will be reviewed by radiologist.

Sponsors

Chinese University of Hong Kong
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Caregiver)

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

Sex/Gender
MALE
Age
18 Years to No maximum
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

Design outcomes

Primary

MeasureTime frameDescription
Prostate Cancer detection rate of ISUP grade group ≥2Through study completion, an average of 1 yearAssessed by AI review, Radiologist review, and Biopsy (Targeted).

Secondary

MeasureTime frameDescription
Diagnosis of any grade of prostate cancerThrough study completion, an average of 1 yearAssessed by prostate biopsy

Countries

Hong Kong

Contacts

Primary ContactPeter Ka-Fung CHIU, FRCS, PhD
peterchiu@surgery.cuhk.edu.hk35052625

Outcome results

None listed

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