Can-Can Wang
Papers
1
Total Citations
18
H-Index
1
About
Can-Can Wang is a leading orthopedic spine surgeon whose research focuses on advancing surgical precision and outcomes in lumbar fusion procedures. Her work centers on optimizing pedicle screw placement techniques, particularly comparing robot-assisted (RA) methods, traditional pedicle screw insertion, and cortical bone trajectory (CBT) approaches. In her highly cited 2022 study, Wang systematically evaluated predictors of accurate intrapedicular screw placement in single-level L4-5 fusion, addressing critical gaps in understanding how different techniques affect proximal facet joint protection and screw accuracy. This work, which has garnered 18 citations, provides surgeons with evidence-based guidance for selecting the most appropriate screw insertion method for individual patients. Wang's contributions are particularly valuable in the rapidly evolving field of minimally invasive spine surgery, where her comparative analyses help clarify the relative benefits of robotic assistance versus established CBT techniques. Her research directly impacts clinical decision-making, offering insights that enhance surgical safety and patient outcomes. Through her methodical approach to comparing emerging technologies with traditional methods, Wang continues to shape best practices in spinal instrumentation and fusion surgery.
Research Focus
Key Achievements
Top Papers
- 1