Lenka Stroobant
Papers
4
Total Citations
36
H-Index
3
About
Lenka Stroobant is a rising orthopaedic researcher whose work is redefining precision in total knee arthroplasty (TKA) through the integration of imageless robotic assistance and standardized laxity assessment. Her key research areas include robotic-assisted TKA, intraoperative joint stability measurement, and surgical learning curves. Stroobant’s major contributions are twofold: she established that the learning curve for imageless robot-assisted TKA requires nine cases to achieve proficiency, though it never reaches time neutrality compared to conventional surgery (19 citations), and she led a landmark randomized controlled trial demonstrating that standardized intraoperative robotic laxity assessment yields no clinically important improvements at two-year follow-up (9 citations). This latter finding challenges prevailing assumptions about the necessity of real-time stability feedback in robotic TKA. Her cadaveric study on tibial sagittal plane definition further exposed critical pitfalls in imageless navigation and robotics (7 citations). With a growing citation footprint and a rigorous, evidence-based approach that questions technological dogma, Stroobant is shaping how surgeons evaluate the true value of robotic assistance in knee replacement. Her work is essential reading for anyone interested in the intersection of surgical technology, biomechanics, and patient outcomes.
Research Focus
Key Achievements
Top Papers
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