Donglai Li

About

Donglai Li is a leading researcher in spinal surgery, specializing in the precision and safety of pedicle screw placement for complex spinal deformities. His work focuses on comparing robotic-assisted navigation, O-arm and 3D C-arm imaging, and traditional free-hand techniques in scoliosis and degenerative lumbar disease surgery. Li’s major contributions include demonstrating that robotic-navigation and O-arm-based systems significantly improve screw placement accuracy and reduce complications compared to free-hand methods, as shown in his 2022 study on scoliosis patients (33 citations). His 2023 study further validated the safety of cannulated pedicle screws using these advanced technologies (27 citations), while his 2-year follow-up on robot-assisted versus fluoroscopy-assisted lumbar fusion (31 citations) provides critical long-term outcomes. Li’s research has directly influenced surgical protocols, offering evidence for adopting navigation technologies to enhance patient safety. His work is widely cited by spine surgeons and researchers, cementing his role in advancing minimally invasive, high-precision spinal surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparison of the Accuracy of Pedicle Screw Placement Using a Fluoroscopy-Assisted Free-Hand Technique with Robotic-Assisted Navigation Using an O-Arm or 3D C-Arm in Scoliosis Surgery

   33 citations · 2022
2. 2
   Comparison of robot-assisted versus fluoroscopy-assisted minimally invasive transforaminal lumbar interbody fusion for degenerative lumbar spinal diseases: 2-year follow-up

   31 citations · 2022
3. 3
   Safety and accuracy of cannulated pedicle screw placement in scoliosis surgery: a comparison of robotic-navigation, O-arm-based navigation, and freehand techniques

   27 citations · 2023

Key Collaborators

Contact & Links