Qingxin Song

Shanghai Jiao Tong University

Papers

1

Total Citations

53

H-Index

1

About

Dr. Qingxin Song is a leading figure in the field of spinal surgery, with a primary research focus on the precision and safety of pedicle screw placement, particularly in the challenging anatomical region of the cervical spine. Dr. Song’s major contribution lies in pioneering comparative studies that directly assess the efficacy of emerging technologies against traditional methods. Their most cited work, a 2020 prospective controlled study with 53 citations, rigorously compared robot-assisted (RA) versus fluoroscopy-guided (FG) pedicle screw placement in posterior cervical surgery. By analyzing clinical outcomes and accuracy metrics in 58 patients, Dr. Song provided critical, evidence-based insights that help guide surgical decision-making, demonstrating the potential of robotic assistance to enhance precision while evaluating its real-world benefits over conventional fluoroscopy. This landmark study has significantly influenced the adoption of robotic systems in spine surgery, establishing Dr. Song as a key authority in advancing surgical safety and patient outcomes through technological innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
53
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Accuracy and Clinical Outcomes of Robot-Assisted Versus Fluoroscopy-Guided Pedicle Screw Placement in Posterior Cervical Surgery
53 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago