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Related Concept Videos

Knee Joint01:23

Knee Joint

2.8K
The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
2.8K

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Related Experiment Video

Updated: Nov 21, 2025

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

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Achieving a Balanced Knee in Robotic TKA.

Alexander C Gordon1, Michael A Conditt2, Matthias A Verstraete2

  • 1Illinois Bone and Joint Institute, Des Plaines, IL 60016, USA.

Sensors (Basel, Switzerland)
|January 16, 2021
PubMed
Summary
This summary is machine-generated.

Robotic-assisted total knee arthroplasty (TKA) improved knee balancing. Combining robotics with real-time sensor feedback significantly increased balanced cases, highlighting the importance of load sensing for surgical success.

Keywords:
alignmentbalancingrobotic total knee arthroplasty

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Area of Science:

  • Orthopedic Surgery
  • Biomedical Engineering
  • Robotics in Medicine

Background:

  • Manual total knee arthroplasty (TKA) achieves quantitative knee balance in only ~50% of cases.
  • Robotics platforms offer pre-operative planning and intra-operative guidance for TKA.

Purpose of the Study:

  • To evaluate the impact of combining robotics with real-time intra-operative sensor feedback on achieving quantitative knee balance in TKA.
  • To determine if robotics navigation alone is sufficient for achieving a balanced knee.

Main Methods:

  • A series of 200 robotic-assisted primary TKAs were analyzed.
  • Robotics planned component positioning; intra-operative load sensors assessed medial/lateral compartment loads during trialing.
  • Surgical adjustments (bone recuts, soft-tissue, cement) were guided by sensor feedback.

Main Results:

  • Initially, 65% of cases achieved quantitative balance during trialing.
  • After sensor-guided corrections, 87% of cases achieved balance throughout the range of motion.
  • Coronal alignment varied widely (6° valgus to 9° varus) despite achieving balance.

Conclusions:

  • Robotics navigation alone does not guarantee a quantitatively balanced knee.
  • Combining robotics with real-time intra-operative load sensor feedback is crucial for consistently achieving knee balance in TKA.
  • Load sensing provides critical data for surgical adjustments beyond robotic guidance.