Literature DB >> 32838457

Learning Curve of Robotic-Assisted Total Knee Arthroplasty for a High-Volume Surgeon.

Kevin B Marchand1, Joseph Ehiorobo1, Kevin K Mathew1, Robert C Marchand2, Michael A Mont1.   

Abstract

The learning curve has been established for robotic-assisted total knee arthroplasty (RATKA) during the first month of use; however, there have been no studies evaluating this on a longer term. Therefore, the purpose of this study was to compare operative times for three cohorts during the first year following adoption of RATKA (initial, 6 months, and 1 year) and a prior cohort of manual TKA. We investigated both mean operative times and the variability of operative time in each cohort. This is a learning curve study comparing a single surgeon's experience using RAKTA. The study groups were made up of two cohorts of 60 cementless RATKAs performed at ∼6 months and 1 year of use. A learning curve was created based on the mean operative times and individual operative times were stratified into different cohorts for comparison. Study groups were compared with the surgeon's initial group of 20 cemented RATKAs and 60 cementless manual cases. Descriptive numbers were compiled and mean operative times were compared using Student's t-tests for significant differences with a p-value of < 0.05. The mean surgical times continued to decrease after 6 months of RATKA. In 1 year, the surgeon was performing 88% of the RATKA between 50 and 69 minutes. The initial cohort and 1-year robotic-assisted mean operative times were 81 and 62 minutes, respectively (p < 0.00001). Mean 6-month robotic-assisted operative times were similar to manual times (p = 0.12). A significant lower time was found between the mean operative times for the 1-year robotic-assisted and manual (p = 0.008) TKAs. The data show continued improvement of operative times at 6 months and 1 year when using this new technology. The results of this study are important because they demonstrate how the complexity of a technology which initially increases operative time can be overcome and become more time-effective than conventional techniques. Thieme. All rights reserved.

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Year:  2020        PMID: 32838457     DOI: 10.1055/s-0040-1715126

Source DB:  PubMed          Journal:  J Knee Surg        ISSN: 1538-8506            Impact factor:   2.757


  6 in total

1.  Robotic-assisted total knee arthroplasty: Is there a maximum level of efficiency for the operating surgeon?

Authors:  Kishan Patel; Hyrum Judd; Richard G Harm; Joseph R Nolan; Matthew Hummel; Jonathon Spanyer
Journal:  J Orthop       Date:  2022-02-15

Review 2.  [Market overview: Robotic-assisted arthroplasty : Current robotic systems, learning curve and cost analysis].

Authors:  Lars-René Tuecking; Max Ettinger; Henning Windhagen; Peter Savov
Journal:  Orthopadie (Heidelb)       Date:  2022-08-09

3.  The initial learning curve for the ROSA® Knee System can be achieved in 6-11 cases for operative time and has similar 90-day complication rates with improved implant alignment compared to manual instrumentation in total knee arthroplasty.

Authors:  Luc Vanlommel; Enrico Neven; Mike B Anderson; Liesbeth Bruckers; Jan Truijen
Journal:  J Exp Orthop       Date:  2021-12-20

4.  Introduction of ROSA robotic-arm system for total knee arthroplasty is associated with a minimal learning curve for operative time.

Authors:  Scott M Bolam; Mei Lin Tay; Faseeh Zaidi; Raghavendra P Sidaginamale; Michael Hanlon; Jacob T Munro; A Paul Monk
Journal:  J Exp Orthop       Date:  2022-08-30

5.  Learning Curve of Robotic-Assisted Total Knee Arthroplasty for Non-Fellowship-Trained Orthopedic Surgeons.

Authors:  Muzaffar Ali; David Phillips; Anthony Kamson; Isaac Nivar; Raymond Dahl; Richard Hallock
Journal:  Arthroplast Today       Date:  2022-01-22

Review 6.  Robotic-arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta-analysis.

Authors:  Junren Zhang; Wofhatwa Solomon Ndou; Nathan Ng; Paul Gaston; Philip M Simpson; Gavin J Macpherson; James T Patton; Nicholas D Clement
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-02-06       Impact factor: 4.114

  6 in total

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