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3rd Edition of

World Orthopedics Conference

September 15-17, 2025 | London, UK

Ortho 2023

Imageless robotics-assisted total knee arthroplasty: A learning curve analysis of surgical time and alignment accuracy

Speaker at World Orthopedics Conference 2023 - Miten Sheth
The Knee Clinic, India
Title : Imageless robotics-assisted total knee arthroplasty: A learning curve analysis of surgical time and alignment accuracy

Abstract:

Introduction: The use of robotics-assisted techniques is increasing in total knee arthroplasty (TKA). The adoption of any new step in surgery is associated with a learning curve and potentially associated with extra complications. The aim of this study was to determine the learning curve necessary to minimize the time of surgery and to evaluate the accuracy of component and limb alignment after imageless, robotic handpiece-assisted TKA.

Materials and methods: In a prospective case-control study, the first 100 consecutive robotic-assisted (RA) TKAs performed by a single surgeon were analysed and compared to 100 consecutive conventional TKAs operated in the same period. Operative times, implant and limb alignment (comparing intra-operative plan with post-operative alignment) and robot-related complications were evaluated. Cumulative summation (CUSUM) analyses were used to assess learning curves for operative time and implant alignment in RA TKA. 

Results: 4 RA TKA cases had to be completed with conventional instrumentation due to challenges faced in the RA system workflow, including registration errors. The learning curve for operative time when using the imageless robotic system for TKA was completed after 16 cases. Complete normalization of operative times, equalling conventional TKA time was not seen even after 100 cases. The learning curve did not influence the accuracy of component or limb alignment. The coronal HKA, LDFA, MPTA and sagittal femoral component placement showed an average deviation of 0.90 (SD 2.1), 0.40 (SD 1.4), 0.60 (SD 1.1) and 0.50 (SD 2.7) from the intra-operative plan. The post-operative tibial component sagittal placement showed a significant deviation of 1.60 (SD 2.4) from the intra-operative plan. No minor or major robot-related complications were observed.

Conclusion: Imageless robotic handpiece-assisted TKA is associated with a learning curve for operative time that might be longer than reported in current literature. Implementation of the intra-operative plan was accurate for implant placement and limb alignment except for the tibial component’s sagittal slope. 

Biography:

Miten R. Sheth is an Internationally recognized, Indian Orthopaedic Surgeon who specializes in treatment of Knee problems. He is the Managing Director and Chief Surgeon at The Knee Clinic, a chain of super-speciality clinics in Mumbai, India. He is one of the youngest Robotic knee replacement surgeons in the Asia-Pacific region and performs more than 500 joint specific surgeries per year. He has made sustained efforts to increase the awareness and acceptance of joint replacement surgery, robotic technology and day-care treatments in India.

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