Peter Bollars

Tenneco (Belgium)

Papers

9

Total Citations

217

H-Index

9

About

Peter Bollars is an orthopedic surgeon and clinical researcher whose work has significantly advanced the field of robotic-assisted total knee arthroplasty (TKA). His research focuses primarily on evaluating imageless, handheld robotic systems — particularly the NAVIO platform — examining their accuracy, safety, and patient outcomes compared to conventional surgical techniques. Bollars has made substantial contributions through rigorous study designs, including prospective randomized controlled trials and multi-centre analyses, demonstrating that image-free robotic-assisted TKA achieves superior implant positioning, improved limb alignment, and more accurate restoration of joint line height and posterior offset than traditional instrumentation. His 2020 preliminary study, now cited over 70 times, helped establish early clinical confidence in handheld robotic technology, while subsequent RCTs have reinforced these findings with CT-based radiological validation. Beyond technical accuracy, Bollars has investigated patient-reported outcomes, joint awareness, coronal plane alignment classification, and bilateral TKA applications, providing a comprehensive picture of robotic surgery's real-world benefits and limitations. Collectively, his nine most-cited papers have accumulated over 200 citations, reflecting his growing influence on surgical practice. His body of work serves as an important evidence base for orthopedic surgeons considering the adoption of robotic-assisted knee replacement systems.

Research Focus

Key Achievements

9
H-Index
9
Papers
217
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group
71 citations · 2020
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Tenneco (Belgium)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago