NCT06441292

Multi-Modal Image Fusion for Precision Prostate Biopsy Navigation

Study on Prostate Targeted Biopsy Precision Navigation Method Based on Multi-Modal Image Fusion Deep Learning Using Multi-Parameter Ultrasound and MRI

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 602 (estimated)
• Sponsor: Shanghai East Hospital · Academic / Other
• Sex: Male
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This study is a prospective randomized controlled clinical trial aimed at comparing the detection rates of clinically significant prostate cancer between conventional biopsy methods and AI-assisted biopsy methods in patients undergoing initial prostate biopsy who meet the indications for prostate biopsy.

Detailed description

This study is a prospective randomized controlled clinical trial designed to investigate the efficacy of AI-assisted biopsy methods compared to conventional biopsy methods in detecting clinically significant prostate cancer. The target population includes patients undergoing their initial prostate biopsy who meet established indications for prostate biopsy.

Conditions

• Prostate Cancer

Interventions

Type	Name	Description
PROCEDURE	AI-assisted	utilize advanced deep learning models that integrate multi-modal image fusion from multi-parameter ultrasound and MRI to guide the biopsy process
PROCEDURE	Non-AI-assisted	undergo standard prostate biopsy procedures without additional technological assistance

Timeline

• Start date: 2024-07-01
• Primary completion: 2025-06-30
• Completion: 2025-07-15
• First posted: 2024-06-04
• Last updated: 2024-06-04

Locations

1 site across 1 country: China