Kajetan von Eckardstein
Papers
3
Total Citations
309
H-Index
3
About
Kajetan von Eckardstein is a leading figure in the advancement of robotic spine surgery, with a particular focus on improving outcomes for patients with complex spinal pathologies. His research primarily centers on the application of robotic guidance for pedicle screw placement, especially in challenging cases involving metastatic spinal disease and pyogenic spondylodiscitis. Von Eckardstein’s major contributions include demonstrating that robotic-assisted techniques can significantly reduce wound breakdown and improve surgical precision compared to conventional fluoroscopy-guided methods. His landmark 2017 matched-cohort study on robotic versus fluoroscopy-guided pedicle screw insertion for metastatic disease, cited over 150 times, has been instrumental in validating robotic systems for oncologic spine surgery. Additionally, his work on the learning curve in robotic spine surgery, with over 120 citations, provides critical insights into the “unskilled unawareness” phenomenon, helping surgeons navigate the adoption of new technologies. Through these impactful studies, von Eckardstein has established himself as a key contributor to safer, more effective minimally invasive spine surgery, directly influencing clinical practice and patient care.
Research Focus
Key Achievements
Top Papers
- 1
- 2Unskilled unawareness and the learning curve in robotic spine surgery122 citations · 2015
- 3