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NCT06360523
To Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
NA trial testing AI modal in Prostate Cancer in 368 participants. Currently enrolling.
31 December 2027
Quick facts
| Lead sponsor | Chinese University of Hong Kong |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | crossover |
| Masking | single |
| Primary purpose | diagnostic |
| Enrollment | 368 |
| Start date | 14 June 2024 |
| Primary completion | 31 December 2027 |
| Estimated completion | 31 March 2028 |
| Sites | 1 location across Hong Kong |
Drugs / interventions tested
- AI modal
- Standard review
Conditions studied
- Prostate Cancer — all drugs for Prostate Cancer →
Sponsor
Chinese University of Hong Kong
Who can join
18 and older, male only, with Prostate Cancer. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06360523
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06360523 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Chinese University of Hong Kong
- Last refreshed: 6 May 2025
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