Overview
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
Eligibility
Inclusion Criteria:
- Unilateral shoulder or knee joint stiffness and normal on the opposite side
- The course of the disease is longer than 3 months
- Good cognitive function, able to understand the content of this experiment, willing to cooperate with follow-up
- Over 18 years old, voluntarily participate in this study, and sign the informed consent
Exclusion Criteria:
- Wound non-healing, joint dislocation or unstable fracture fixation, pseudarthrosis, joint purulent infection and other contraindications for joint range of motion examination
- There are skin lesions, wounds or allergies to the coupling agent on the joint surface and other conditions that cannot be used for ultrasound examination