Literature DB >> 24906519

Conventional versus computer-assisted technique for total knee arthroplasty: a minimum of 5-year follow-up of 200 patients in a prospective randomized comparative trial.

Johannes Cip1, Mark Widemschek1, Matthias Luegmair1, Mitchell B Sheinkop2, Thomas Benesch3, Arno Martin1.   

Abstract

In the literature, studies of computer-assisted total knee arthroplasty (TKA) after mid-term period are not conclusive and long-term data are rare. In a prospective, randomized, comparative study 100 conventional TKAs (group REG) were compared with 100 computer-assisted TKAs (group NAV). Minimum follow-up was 5years. No difference in implant failure was found with 1.1% in group NAV versus 4.6% in group REG (P=0.368). Group NAV showed a significantly less mean deviation of mechanical limb axis (P=0.015), more TKAs (90% versus 81% in group REG) were within 3° varus/valgus and a higher tibial slope and lateral distal femoral angle (LDFA) accuracy was found (P≤0.034). Clinical investigational parameters showed no differences (P≥0.058). Insall and HSS score total were also higher in group NAV (P≤0.016).
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  TKA; comparison; conventional; minimum 5-year follow-up; navigation

Mesh:

Year:  2014        PMID: 24906519     DOI: 10.1016/j.arth.2014.04.037

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  22 in total

1.  A randomized controlled clinical and radiological trial about outcomes of navigation-assisted TKA compared to conventional TKA: long-term follow-up.

Authors:  E K Song; Pranav R Agrawal; S K Kim; H Y Seo; J K Seon
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-02-01       Impact factor: 4.342

2.  Computer-Assisted Orthopedic and Trauma Surgery.

Authors:  Timo Stübig; Henning Windhagen; Christian Krettek; Max Ettinger
Journal:  Dtsch Arztebl Int       Date:  2020-11-20       Impact factor: 5.594

3.  Inter-observer variability and its correlation to experience in measurement of lower limb mechanical axis on long leg radiographs.

Authors:  Raju Vaishya; Vipul Vijay; Vikas P Birla; Amit Kumar Agarwal
Journal:  J Clin Orthop Trauma       Date:  2016-06-11

4.  Does implant design and surgical technique improve the clinical outcome in total knee arthroplasty?

Authors:  Roland Becker; Michael T Hirschmann; Jon Karlsson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-08       Impact factor: 4.342

Review 5.  Current state of computer navigation and robotics in unicompartmental and total knee arthroplasty: a systematic review with meta-analysis.

Authors:  Jelle P van der List; Harshvardhan Chawla; Leo Joskowicz; Andrew D Pearle
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-09-06       Impact factor: 4.342

Review 6.  Computer Navigation-Assisted Knee Replacement Demonstrates Improved Outcome Compared with Conventional Knee Replacement at Mid-Term Follow-up: A Systematic Review and Meta-analysis.

Authors:  Charles Ayekoloye; Osondu Nwangwu; Temitope Alonge
Journal:  Indian J Orthop       Date:  2020-06-13       Impact factor: 1.251

7.  [Total knee arthroplasty with 3D printing technique versus conventional surgery: comparison of the outcomes].

Authors:  Ming Niu; Fei Ma; Ju-Rong Ma; Jun-Wei Li; Xu-Nian Wu; Tong Wang; Yu-Liang Wang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-11-20

8.  Encouraging treatment algorithm for computer-assisted navigated total knee arthroplasty (TKA): A retrospective cohort analysis.

Authors:  J Cip; M Widemschek; C Bach; P Ruckenstuhl; T Benesch; K Studer; A Martin
Journal:  J Orthop       Date:  2017-06-24

9.  Conventional versus computer-navigated TKA: a prospective randomized study.

Authors:  Alessandro Todesca; Luca Garro; Massimo Penna; Jacques Bejui-Hugues
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-06-15       Impact factor: 4.342

10.  Computer-assisted total knee arthroplasty marketing and patient education: an evaluation of quality, content and accuracy of related websites.

Authors:  Shai S Shemesh; Michael J Bronson; Calin S Moucha
Journal:  Int Orthop       Date:  2016-04-30       Impact factor: 3.075

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