Literature DB >> 33511584

Initial Experience with the NAVIO Robotic-Assisted Total Knee Replacement-Coronal Alignment Accuracy and the Learning Curve.

Kade Collins1, Paul A Agius2,3, Andrew Fraval1, Josh Petterwood1,4.   

Abstract

One of the primary aim of total knee arthroplasty (TKA) is restoration of the mechanical axis of the lower limb. Maintenance of the mechanical axis within 3 degrees of neutral has been shown to result in improved clinical results and implant longevity. The aim of this study was to investigate the efficacy of this robotic-assisted system in coronal plane component positioning in TKA. We also describe the learning curve associated with adoption of this technology. A total of 72 total knee replacements were completed between November 2017 and September 2018 by a single surgeon using the robotic-assisted surgery (RAS) system. Cases were recorded from the time the study surgeon first adopted this technology and represent the "learning curve." Pre- and postoperative coronal weight-bearing alignments were measured and intraoperative robotic-assisted registration data and duration of use were collected. Of the 72 TKAs in this series, 93.3% were corrected to the desired alignment of within 3 degrees of neutral. The knees that were not corrected to neutral had a mean preoperative alignment of 11.57 degrees of deformity as compared with 4.29 degrees for those that were corrected to neutral. A learning curve effect during adoption of this new technology was not found when analyzing RAS usage time. The RAS system produced accurate coronal alignment in TKA in more than 93% of cases with no learning curve effect. Our study suggests that this system is easily adopted, safe, and accurate. Thieme. All rights reserved.

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Year:  2021        PMID: 33511584     DOI: 10.1055/s-0040-1722693

Source DB:  PubMed          Journal:  J Knee Surg        ISSN: 1538-8506            Impact factor:   2.501


  5 in total

Review 1.  Concepts and techniques of a new robotically assisted technique for total knee arthroplasty: the ROSA knee system.

Authors:  Cécile Batailler; Didier Hannouche; Francesco Benazzo; Sébastien Parratte
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-13       Impact factor: 3.067

2.  Robotic-assisted knee arthroplasty: an evolution in progress. A concise review of the available systems and the data supporting them.

Authors:  Johanna Elliott; Jobe Shatrov; Brett Fritsch; David Parker
Journal:  Arch Orthop Trauma Surg       Date:  2021-09-07       Impact factor: 3.067

3.  Joint gap produced by manual stress is dependent on the surgeon's experience and is smaller in flexion in robotic-assisted total knee arthroplasty.

Authors:  Kazuki Sohmiya; Hiroyasu Ogawa; Yutaka Nakamura; Masaya Sengoku; Tetsuya Shimokawa; Kazuichiro Ohnishi; Haruhiko Akiyama
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-08-15       Impact factor: 4.114

Review 4.  Learning curves of robotic technology in an orthopedic teaching hospital.

Authors:  T Probst; E R Akalin; A Giannouchos; C Schnurr
Journal:  Orthopadie (Heidelb)       Date:  2022-08-19

5.  High accuracy of a new robotically assisted technique for total knee arthroplasty: an in vivo study.

Authors:  Stefano Marco Paolo Rossi; Rudy Sangaletti; Loris Perticarini; Flavio Terragnoli; Francesco Benazzo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-01-04       Impact factor: 4.342

  5 in total

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