About

Michel Lefranc is a pioneering French neurosurgeon whose research has fundamentally advanced the field of robotic-assisted neurosurgery and minimally invasive spinal procedures. His work centers on three interconnected domains: stereotactic neurosurgery, surgical robotics — particularly the ROSA® robotic system — and deep brain stimulation (DBS) techniques. Lefranc's most influential contributions involve systematically validating and refining robotic surgical platforms for clinical use. His consecutive series of 100 frameless robotic stereotactic biopsies demonstrated that robotics could deliver accurate, safe, and efficient histological diagnoses, garnering 128 citations alongside his equally cited evaluation of the ROSA™ Spine robot for minimally invasive procedures. His rigorous phantom-based accuracy studies helped establish the scientific credibility of robotic stereotaxy, attracting 117 citations and setting benchmarks still referenced today. Particularly notable is his work on frameless robot-assisted DBS lead implantation, where he demonstrated that asleep robotic surgery achieves clinical outcomes comparable to traditional awake procedures — a finding with significant implications for patient comfort and surgical accessibility. Spanning both cranial and spinal applications, Lefranc's cumulative body of work, exceeding 650 citations, represents a sustained commitment to making neurosurgery safer, more precise, and less invasive for patients worldwide.

Research Focus

Key Achievements

14
H-Index
19
Papers
841
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Frameless robotic stereotactic biopsies: a consecutive series of 100 cases
128 citations · 2014
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 70
🏛 Institutions: Centre Hospitalier Universitaire Amiens-Picardie, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université de Picardie Jules Verne, Hôpital Roger Salengro, Chirurgie et extrémité céphalique, caractérisation morphologique et fonctionnelle, Groupe de REcherche en Cardio Oncologie

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago