Literature DB >> 34304279

Component placement accuracy in two generations of handheld robotics-assisted knee arthroplasty.

Chelsea S Sicat1, James C Chow2, Bertrand Kaper3, Riddhit Mitra4, Jing Xie4, Ran Schwarzkopf5.   

Abstract

INTRODUCTION: Total knee arthroplasty (TKA) is the gold standard for treatment of end-stage osteoarthritis. Previous studies have shown that successful outcomes following TKA depend on accurate implant alignment and soft tissue balancing. Robotic-assisted TKA have demonstrated improved accuracy in component placement and have been associated with better outcomes and patient satisfaction. This study aims to report on the execution accuracy of two generations of handheld robotic-assisted surgical systems.
METHODS: This was a retrospective analysis of TKA procedures with two sequential generations of the same handheld robotic-assisted surgical system. Intra-operative data captured included pre-operative limb deformity, limb axes, range of motion, kinematic balance, and the resulting plan for component placement in three-dimensional space. Patients were stratified based on their preoperative coronal lower limb mechanical alignment (> 3° varus, < 3° varus, < 3° valgus, and ≥ 3° valgus). Measurements of component placement (overall lower limb alignment, medial and lateral flexion gaps, and tibial and femoral resection depths) were assessed using descriptive statistics.
RESULTS: A total of 435 patients were included and stratified based on preoperative lower limb alignment: 229 with ≥ 3° varus, 78 with varus < 3° and 58 with valgus < 3°, and 70 with valgus > 3°. The mean difference between planned and achieved alignment in the lower limb valgus patients was < 1° across all groups. Mean differences between planned and achieved medial flexion gap was higher in the > 3° subgroup in the varus patient cohort ([< 3°]: 1.15 ± 1.92 vs. [> 3°]: 1.90 ± 2.57); this value was higher in the < 3° subgroup for valgus patients ([< 3°]: 1.34 ± 1.83 vs. [> 3°]: 0.956 ± 1.65). Average resection depth ranged from 9.46 to 10.4 mm in the posterior medial femur, 9.25 to 9.95 mm in the posterior lateral femur, 7.45 to 8.79 mm in the distal medial femur, 8.22 to 9.18 mm in the distal lateral femur, 6.70 to 7.07 mm in the medial tibial condyle and 6.40 to 7.19 mm in the lateral tibial condyle. Non-inferiority testing demonstrated the newer generation is non-inferior to the older generation.
CONCLUSION: Robotic-assisted knee replacement using handheld image-free systems is able to maintain accuracy of component placement. Further investigation of patient reported outcomes as well as long-term implant longevity are needed.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Accuracy; Handheld; Image-free; Robotic-assisted; Total knee arthroplasty

Year:  2021        PMID: 34304279     DOI: 10.1007/s00402-021-04040-6

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


  12 in total

1.  Robotic-assisted TKA reduces postoperative alignment outliers and improves gap balance compared to conventional TKA.

Authors:  Eun-Kyoo Song; Jong-Keun Seon; Ji-Hyeon Yim; Nathan A Netravali; William L Bargar
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

2.  Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030.

Authors:  Steven Kurtz; Kevin Ong; Edmund Lau; Fionna Mowat; Michael Halpern
Journal:  J Bone Joint Surg Am       Date:  2007-04       Impact factor: 5.284

3.  Robot-assisted total knee arthroplasty.

Authors:  Johan Bellemans; Hilde Vandenneucker; Johan Vanlauwe
Journal:  Clin Orthop Relat Res       Date:  2007-11       Impact factor: 4.176

Review 4.  Meta-analysis of alignment outcomes in computer-assisted total knee arthroplasty surgery.

Authors:  J Bohannon Mason; Thomas K Fehring; Rhonda Estok; Deirdre Banel; Kyle Fahrbach
Journal:  J Arthroplasty       Date:  2007-12       Impact factor: 4.757

5.  Are Patients More Satisfied With a Balanced Total Knee Arthroplasty?

Authors:  Gregory J Golladay; Thomas L Bradbury; Alexander C Gordon; Ivan J Fernandez-Madrid; Viktor E Krebs; Preetesh D Patel; Juan C Suarez; Carlos A Higuera Rueda; Wael K Barsoum
Journal:  J Arthroplasty       Date:  2019-03-19       Impact factor: 4.757

Review 6.  Robotics in Total Knee Arthroplasty.

Authors:  Maria Bautista; Jorge Manrique; William J Hozack
Journal:  J Knee Surg       Date:  2019-03-01       Impact factor: 2.757

7.  Patient, implant, and alignment factors associated with revision of medial compartment unicondylar arthroplasty.

Authors:  Matthew B Collier; Thomas H Eickmann; Fumio Sukezaki; James P McAuley; Gerard A Engh
Journal:  J Arthroplasty       Date:  2006-09       Impact factor: 4.757

8.  Robotic total knee arthroplasty: the accuracy of CT-based component placement.

Authors:  Jens Decking; Christoph Theis; Tobias Achenbach; Edgar Roth; Bernhard Nafe; Anke Eckardt
Journal:  Acta Orthop Scand       Date:  2004-10

9.  Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.

Authors:  P Bollars; A Boeckxstaens; J Mievis; S Kalaai; M G M Schotanus; D Janssen
Journal:  Eur J Orthop Surg Traumatol       Date:  2020-01-16

10.  Analysis of Total Knee Arthroplasty revision causes.

Authors:  Anne Postler; Cornelia Lützner; Franziska Beyer; Eric Tille; Jörg Lützner
Journal:  BMC Musculoskelet Disord       Date:  2018-02-14       Impact factor: 2.362

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  2 in total

1.  [Established classification systems of posterior malleolar fractures : A systematic literature review].

Authors:  Elena Müller; Julia Terstegen; Holger Kleinertz; Hanneke Weel; Karl-Heinz Frosch; Alexej Barg; Carsten Schlickewei
Journal:  Unfallchirurg       Date:  2022-04-08       Impact factor: 1.000

2.  HURWA robotic-assisted total knee arthroplasty improves component positioning and alignment - A prospective randomized and multicenter study.

Authors:  Zheng Li; Xin Chen; Xiaoquan Wang; Bo Zhang; Wei Wang; Yu Fan; Jun Yan; Xiaofeng Zhang; Yu Zhao; Yuan Lin; Jun Liu; Jin Lin
Journal:  J Orthop Translat       Date:  2022-02-16       Impact factor: 5.191

  2 in total

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