How reproducible are clinical measurements in robotic knee surgery?

J Exp Orthop

BEAMS Department (Bio Electro and Mechanical Systems), École Polytechnique de Bruxelles, Université Libre de Bruxelles, Bruxelles, Belgium.

Published: March 2023

AI Article Synopsis

  • Robotic-assisted surgery enhances the precision of knee joint arthroplasty by improving bone resection, alignment, and component positioning.
  • A study analyzed five patients using a semi-active robotic system and involved three observers with differing experience levels to measure knee parameters, focusing on intra- and inter-observer variability.
  • Results indicated that the variability in measurements was low, showing excellent to good agreement among observers, and that experience with the robotic system did not significantly affect the measurement outcomes.

Article Abstract

Purpose: Robotic-assisted surgery has been recently introduced to improve biomechanical restoration, and thus better clinical and functional outcomes, after knee joint arthroplasty operations. Robotic-assisted uni-compartmental knee arthroplasty (UKA) aims indeed to improve surgical bone resection and alignment accuracy, optimized component positioning and knee balancing, relying on a series of calibration measurements performed during the surgery. These advantages focus therefore on improving the reproducibility of UKA surgeries, reducing (if not eliminating) eventual differences among high- and low-volume surgeons. The purpose of this study is to investigate and quantify the reproducibility of in-vivo measurements performed with a robotic system: the intra- and inter-observer variability of a series of measurements was therefore analyzed and compared among differently experienced operators.

Methods: Five patients were analyzed and underwent robotic-assisted UKA using a semi-active robotic system. Three different observers with different experience levels were involved to independently perform the measurements of two parameters of the preoperative knee (Hip-Knee-Ankle angle [HKAa], Internal-External Rotation) at different degrees of knee flexion. Inter-observer and intra-observer comparisons were performed.

Results: The average variability in the measurements obtained from the intra-observer and inter-observer comparisons were always < 0.68° for HKAa and < 2.59° for internal-external rotation, and the ICCs showed excellent agreement (> 0.75) for most cases and good agreement (> 0.60) in the remaining ones.

Conclusion: This study demonstrated high reproducibility of the measurements obtainable in clinical environment with the robotic system. The inter-observer results furthermore showed that the level of confidence with the robotic system is not significantly influencing the measurement.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039133PMC
http://dx.doi.org/10.1186/s40634-023-00582-3DOI Listing

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