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Investigation of an Intelligent Centre-adaptive Multi-modal Fusion Framework (Cad- MMFF) to Overcome Unnecessary Prostate Biopsies and Optimize MRI Utilization

NCT07760857 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2026-08-12

No results posted yet for this study

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.

Conditions

  • Prostate Cancer (Diagnosis)

Sponsors & Collaborators

  • The Hong Kong Polytechnic University

    collaborator OTHER

  • Chinese University of Hong Kong

    lead OTHER

Principal Investigators

  • Chi Fai NG, MBChB, FRCS(Ed), MD · Chinese University of Hong Kong

  • Edmond Sai Kit LAM, PhD · The Hong Kong Polytechnic University

Eligibility

Min Age
45 Years
Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-01
Primary Completion
2026-09-01
Completion
2030-03-31

Countries

  • Hong Kong

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07760857 on ClinicalTrials.gov