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New Technologies in Knee Arthroplasty: Current Concepts.

Cécile Batailler1,2,3, John Swan1, Elliot Sappey Marinier1,2

  • 1Department of Orthopedic Surgery and Sport Medicine, Croix-Rousse Hospital, 69004 Lyon, France.

Journal of Clinical Medicine
|December 30, 2020
PubMed
Summary
This summary is machine-generated.

New technologies in total knee arthroplasty (TKA) show promise for improving patient outcomes. While some advancements like patient-specific instrumentation offer benefits, others like robotic-assisted surgery have limitations, necessitating further research.

Keywords:
accelerometerscustomized implantsknee arthroplastynew technologiespatient-specific instrumentationrobotic-assisted surgerysensors

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Area of Science:

  • Orthopedic surgery
  • Biomedical engineering
  • Medical technology

Background:

  • Total knee arthroplasty (TKA) effectively treats severe osteoarthritis but has patient dissatisfaction rates up to 20%.
  • Emerging technologies aim to enhance functional outcomes and patient satisfaction in TKA.

Purpose of the Study:

  • To review novel technologies in TKA, including their concepts, benefits, and drawbacks.
  • To assess the current status and future potential of advanced TKA techniques.

Main Methods:

  • Review of current literature on patient-specific instrumentation, customized implants, sensors, accelerometers, and robotic-assisted systems in TKA.
  • Analysis of reported functional outcomes, biomechanical advantages, and limitations of each technology.

Main Results:

  • Patient-specific instrumentation may improve implant positioning but not functional outcomes.
  • Customized implants aim to replicate native knee anatomy and biomechanics, with limited mid-term data.
  • Sensors and accelerometers offer objective data and alignment improvements, but benefits are debated.
  • Robotic-assisted systems provide accurate bone preparation but have limitations.

Conclusions:

  • New TKA technologies are evolving rapidly, offering potential improvements in surgical precision and patient function.
  • Limitations persist across various technologies, highlighting the need for further development.
  • Artificial intelligence and predictive modeling may address current limitations and enhance future TKA outcomes.