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Multi-Modal Image Fusion for Precision Prostate Biopsy Navigation

T

Tongji University

Status

Not yet enrolling

Conditions

Prostate Cancer

Treatments

Procedure: AI-assisted
Procedure: Non-AI-assisted

Study type

Interventional

Funder types

Other

Identifiers

NCT06441292
PB-NAV-MMIF-01

Details and patient eligibility

About

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.

Full 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.

Enrollment

602 estimated patients

Sex

Male

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  1. Age > 18
  2. PSA > 4 ng/ml and/or abnormal DRE
  3. Sign the informed consent

Exclusion criteria

  1. Have acute or chronic prostatitis
  2. Contraindications to prostate biopsy
  3. Contraindications to MRI
  4. Other reasons that not suitable for this trial

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

602 participants in 2 patient groups

conventional biopsy group
Active Comparator group
Description:
undergo standard prostate biopsy procedures without additional technological assistance
Treatment:
Procedure: Non-AI-assisted
AI-assisted biopsy group
Experimental group
Description:
utilize advanced deep learning models that integrate multi-modal image fusion from multi-parameter ultrasound and MRI to guide the biopsy process
Treatment:
Procedure: AI-assisted

Trial contacts and locations

1

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Central trial contact

haifeng wang; shuaidong wang

Data sourced from clinicaltrials.gov

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