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NCT07760857
Investigation of an Intelligent Centre-adaptive Multi-modal Fusion Framework (Cad- MMFF) to Overcome Unnecessary Prostate Biopsies and Optimize MRI Utilization
Conditions: Prostate Cancer (Diagnosis)
Sex: Male
Ages: 45 Years – N/A
Healthy volunteers: No
Enrollment: 400
Sponsor: Chinese University of Hong Kong
Location: Prince of Wales Hospital Hong Kong
Summary
This study aims to investigate a novel Centre-Adaptive Multi-Modal Fusion Framework (Cad-MMFF) that integrates clinical, ultrasound, and MRI data to improve the detection of clinically significant prostate cancer (csPCa), reduce unnecessary biopsies, and optimize MRI utilization.
Eligibility Criteria
Inclusion Criteria:
* Ethnically Chinese men aged ≥ 50
* Suspicion of PCa \[elevated PSA (\>4-ng/ml) or abnormal DRE/PHI\] and indicated for prostate biopsy
* Obtained clinical consent (for prospectively enrolled patients only)
Exclusion Criteria:
* Prior biopsy/treatments for PCa
* History of genitourinary cancer
* Poor image quality
* Incomplete imaging scans/clinical data/pathological results
Source: ClinicalTrials.gov (NCT07760857). StuddyBuddy aggregates publicly available trial information.
