Papers
2
Total Citations
18
H-Index
2
About
Alex Ngan is a rising figure in orthopedic spine surgery, whose work centers on advancing surgical precision and patient outcomes in spinal fusion. His research focuses on two critical areas: optimizing surgical approaches for lateral lumbar interbody fusion (LLIF) and evaluating the accuracy of pedicle screw placement technologies. In his 2024 systematic review and meta-analysis on the prone single position approach to LLIF, Ngan demonstrated that this technique is a safe and effective treatment for degenerative spine disorders, contributing to the growing evidence for minimally invasive strategies. His companion meta-analysis on robotic-assisted versus fluoroscopic-guided pedicle screw placement further underscores his commitment to technological innovation, revealing that robotic assistance significantly improves screw accuracy. Though early in his career, with each of these landmark papers already garnering 9 citations, Ngan’s work is rapidly shaping clinical best practices. By synthesizing large datasets to produce high-level evidence, he provides surgeons with actionable insights to reduce complications and enhance spinal stability. For students and researchers, Ngan exemplifies how rigorous meta-analytic methods can directly translate into improved surgical care and patient safety.
Research Focus
Key Achievements
Top Papers
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