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Updated: Jun 14, 2025

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
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Variability in Alignment and Bone Resections in Robotically Balanced Total Knee Arthroplasties.

Matthew S Hepinstall1, Catherine Di Gangi1, Christian Oakley1

  • 1Department of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.

Bioengineering (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

Robotic-assisted total knee arthroplasty (RA-TKA) shows varied implant alignment and bone resection trends based on preoperative knee alignment. Understanding these patterns in RA-TKA can help surgeons optimize surgical plans.

Keywords:
alignment targetsresection targetsrobotic-arm assistancetotal knee arthroplasty

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Area of Science:

  • Orthopedic Surgery
  • Robotics in Medicine
  • Biomechanical Engineering

Background:

  • Image-based robotic-assisted total knee arthroplasty (RA-TKA) enables 3D surgical planning using bone anatomy.
  • Intraoperative adjustments in RA-TKA are guided by dynamic assessment of ligament laxity and gap balance.
  • Understanding typical implant alignment and bone resection ranges is crucial for RA-TKA.

Purpose of the Study:

  • To identify the ranges of implant alignment and bone resections utilized in robotic-assisted total knee arthroplasty (RA-TKA).
  • To analyze how preoperative coronal alignment influences intraoperative planning metrics in RA-TKA.
  • To provide data that may inform surgical decision-making in RA-TKA.

Main Methods:

  • Retrospective review of 484 primary RA-TKA cases.
  • Cases were stratified based on preoperative coronal alignment (valgus, neutral, varus).
  • Demographic and intraoperative data were collected and analyzed using Chi-square and ANOVA tests.

Main Results:

  • Planned limb, femoral, and tibial alignment showed a trend towards increased varus from valgus to neutral to varus knees (p < 0.001).
  • External transverse rotation relative to the transepicondylar axis (TEA) and posterior condylar axis (PCA) differed significantly across cohorts (p < 0.001).
  • Bone resections, particularly of the distal femur and posterior femur, were greater in the varus group; tibia resections also varied significantly by cohort.

Conclusions:

  • Robotic-assisted total knee arthroplasty demonstrates distinct trends in planned alignment and bone resection metrics correlated with preoperative coronal knee alignment.
  • Varus knees exhibited higher variability in planned metrics compared to valgus and neutral knees.
  • These findings enhance the understanding of RA-TKA and can guide surgeons in preoperative planning and intraoperative execution.