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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
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150 participants in 3 patient groups
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Buwen Yao, PhD
Data sourced from clinicaltrials.gov
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