NCT05818904

Ultrasound Imaging of Fibrotic Tissue

Ultrasound Imaging of Fibrotic Tissue Using Machine Learning

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 150 (estimated)
• Sponsor: Peking University Third Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This project intends to collect the ultrasonic spectrum information of shoulder and knee joint fibrotic tissue, and use machine learning to study the mechanism of fibrosis tissue ultrasound imaging, and then build a model and finally establish the relationship between joint stiffness and fibrosis formation. In this study, the broadband ultrasound imaging method for joint fibrosis has the potential to create a method for ultrasonic localization, staining and evaluation of joint fibrosis, laying the foundation for the research of new conservative treatment methods and surgical positioning for fibrosis, and for reducing the occurrence of joint fibrosis rate, improve joint function of patients, and return to family and society earlier and better

Conditions

• Arthrofibrosis of Knee
• Arthrofibrosis of Shoulder

Interventions

Type	Name	Description
OTHER	Physical Therapy	All arthrosis participants will be treated as the traditional methods using physical therapy.

Timeline

• Start date: 2023-05-01
• Primary completion: 2023-11-30
• Completion: 2024-12-31
• First posted: 2023-04-19
• Last updated: 2023-11-08

Locations

1 site across 1 country: China