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Robotic UKA

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Computer Assisted Orthopaedic Surgery for Hip and Knee

Abstract

Unicompartmental knee arthroplasty (UKA) is a reliable, although technically challenging, treatment option for osteoarthritis. Successful clinical outcomes depend on accurate implant placement, lower limb alignment, and soft tissue balance intraoperatively. Robot-assisted systems aim to improve the surgical accuracy, precision, and reproducibility of clinical outcomes. Semi-active UKA systems with a minimally invasive approach have been developed and are becoming more interesting. These robotic systems can be either image-based or imageless. Recently, two robotic systems have been approved for UKA by the US Food and Drug Administration: the MAKO Robotic Arm, which is an image-based system, and the Navio Precision Free-Hand Sculptor (PFS), which is an image-free system. Several studies have shown that robotic UKA offers greater accuracy of the mechanical axis, implant positioning, and soft tissue balance than conventional UKA. They concluded that robot-assisted UKA achieved more reproducible, accurate, and precise bone cuts, suggesting that the system could improve surgical survivorship. Although robot-assisted UKA has a high capital cost, some studies have shown that it is cost-effective under the following conditions: (1) centers must perform at least 94 cases annually in (2) patients younger than age 67 years, and (3) the 2-year revision rate does not exceed 1.2%. Thus, these early results and cost-effectiveness analyses seem promising. The limitation of robotic surgery may be the longer learning curve regarding the operative time, although some studies reported that the robot-assisted UKA system significantly decreased the learning curve over that required for UKA with traditional instrumentation.

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Author information

Authors and Affiliations

  1. Department of Orthopaedic, Bhumibol Adulyadej Hospital, The Royal Thai Air Force, Bangkok, Thailand

    Chumroonkiet Leelasestaporn

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  1. Chumroonkiet Leelasestaporn
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Correspondence to Chumroonkiet Leelasestaporn .

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Editors and Affiliations

  1. Department of Orthopaedic Medical Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, Japan

    Nobuhiko Sugano

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Leelasestaporn, C. (2018). Robotic UKA. In: Sugano, N. (eds) Computer Assisted Orthopaedic Surgery for Hip and Knee. Springer, Singapore. https://doi.org/10.1007/978-981-10-5245-3_6

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  • DOI: https://doi.org/10.1007/978-981-10-5245-3_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5244-6

  • Online ISBN: 978-981-10-5245-3

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