Scientific Research Achievements

This study explores the relationship between fat infiltration (FI) of the thoracic paraspinal muscles and thoracic vertebral degeneration (TVD). Using advanced QCT technology from Bone's, researchers accurately measured the degree of fat infiltration in the thoracic paraspinal muscles and analyzed its correlation with thoracic vertebral degeneration. The results revealed a positive correlation between the degree of muscle fat infiltration and the severity of thoracic vertebral degeneration, providing new insights for the clinical prevention and treatment of thoracic degenerative diseases.

This study explored the correlation between osteoporosis and vertebral endplate damage. Using advanced imaging techniques, the research team assessed patients' bone mineral density (BMD) and endplate integrity, finding a significant association between osteoporosis and endplate damage. This discovery holds important implications for understanding the mechanisms of disc degeneration and developing strategies to prevent endplate damage.

This study developed a semi-automatic tool to assess bone mineral density (BMD) of the proximal humeral trabecular bone. The tool, based on phantom-less QCT (PL-QCT) technology, demonstrates higher accuracy and efficiency compared to traditional QCT methods. The study shows that this tool can accurately evaluate the BMD of the proximal humerus, providing a reliable method for clinically assessing the risk of proximal humeral fractures.

This study investigated the distribution characteristics of bone voids in the thoracolumbar spine. Using innovative bone strength assessment technology developed by Bone's, the research team systematically analyzed bone voids in the thoracolumbar region. The results showed significant differences in the distribution of bone voids across different areas of the thoracolumbar spine. These findings are crucial for understanding the mechanisms of spinal fractures and developing personalized prevention strategies.

This study evaluated the effectiveness of an artificial intelligence (AI)-based preoperative planning software in spinal surgery. The software can automatically recommend appropriate screw specifications and placement locations based on patients' imaging data. The results showed that AI-assisted preoperative planning significantly improves the accuracy of screw selection, reduces surgical time, and enhances surgical safety.

This study utilized innovative phantom-less QCT (PL-QCT) technology developed by Bone's to measure cortical endplate bone mineral density (EP-vBMD) and investigated its relationship with the risk of cage subsidence. The results showed that cortical endplate bone mineral density is an important predictor of cage subsidence, providing a new evaluation method for the clinical prevention of cage subsidence.

This study developed a phantom-less QCT (PL-QCT) system for COVID-19 screening. The system can accurately assess lung imaging at low radiation doses, providing a new tool for the early diagnosis of COVID-19. The results demonstrated that the system has high sensitivity and specificity, making it an effective auxiliary method for COVID-19 screening.

This study investigated cervical kyphosis using patient-specific numerical simulation methods. By constructing individualized finite element models, researchers simulated the impact of varying degrees of cervical kyphosis on spinal cord pressure, providing a theoretical basis for clinical treatment decision-making.