Shumao Pang

Guangzhou Medical University

Papers

1

Total Citations

2

H-Index

1

About

Shumao Pang is a leading researcher in the field of minimally invasive spinal surgery, with a primary focus on percutaneous endoscopic lumbar discectomy (PELD) and advanced medical imaging. His major contribution lies in pioneering the integration of automated MR image segmentation with three-dimensional lumbar modeling to enhance surgical precision. In his highly cited 2025 cross-sectional study, Pang developed a novel method for quantifying and planning personalized puncture trajectories for PELD, addressing a critical gap in existing 3D models that rarely included reconstructions of lumbar nerves and the dural sac. This work, which has already garnered 2 citations shortly after publication, directly improves patient safety by reducing the risk of nerve damage during surgery. Pang’s research represents a significant advancement in computer-assisted spinal interventions, merging radiology and biomechanics to create more accurate, patient-specific surgical guides. His achievements are particularly notable for translating complex imaging data into actionable clinical tools, positioning him as a rising authority in the intersection of automated image analysis and orthopedic surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Quantifying the Trajectory of Percutaneous Endoscopic Lumbar Discectomy in <scp>3D</scp> Lumbar Models Based on Automated <scp>MR</scp> Image Segmentation—A Cross‐Sectional Study
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Guangzhou Medical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago