Literature DB >> 22819126

Computer-assisted surgery: a teacher of TKAs.

R Iorio1, D Mazza, G Bolle, J Conteduca, A Redler, F Conteduca, A Ferretti.   

Abstract

INTRODUCTION: The hypothesis of this study is that computer-aided navigation experience could improve the ability to better place components in the coronal plane and to improve visual/spatial awareness based on the ability of navigation to provide instant feedback. The purpose of this study is to demonstrate the educational role of the navigation system to obtain a better alignment of the prosthetic components with standard instrumentation after a computer-aided navigation experience.
MATERIALS AND METHODS: One hundred fifty patients were operated by the same surgeon, with more than 5 years experience with TKA. They were equally divided in three groups: group A (operated with non-navigated technique by surgeon without computer-assisted experience); group B (operated with computer-assisted surgery by the same surgeon); group C (operated with non-navigated technique by the same surgeon after the computer-navigated experience). We evaluated by full-length weight-bearing radiographs the overall alignment of the lower limb in the coronal plane. The optimum placement of the components was considered when the angle was within the limits of ±3° varus/valgus on the coronal x-rays. Comparison between groups was done using one-way ANOVA followed by post hoc Bonferroni test and Pearson chi-square statistics for proportions of optimum placement (P<0.05).
RESULTS: In the group A 34 patients (68%) had the optimum placement on the coronal x-rays; in the group B they were 46 (92%) and in the group 41 (82%). The difference is statistically significant in comparing group A and Group B (<0.001), group A and group C (P=0.04), but not for group B and C (P=0.2).
CONCLUSION: We believe that the navigation system has an educational role to improve the ability of surgeon of positioning prosthetic components precisely in the coronal plane.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22819126     DOI: 10.1016/j.knee.2012.06.009

Source DB:  PubMed          Journal:  Knee        ISSN: 0968-0160            Impact factor:   2.199


  7 in total

1.  From Bench to Bedside: Robotics and Navigation in Orthopaedics-Rise of the Machines or Just Rising Costs?

Authors:  Benjamin K Potter
Journal:  Clin Orthop Relat Res       Date:  2019-04       Impact factor: 4.176

2.  Case-related factors affecting cutting errors of the proximal tibia in total knee arthroplasty assessed by computer navigation.

Authors:  Tadashi Tsukeoka; Yoshikazu Tsuneizumi; Kensuke Yoshino; Mashiko Suzuki
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-12-22       Impact factor: 4.342

Review 3.  [Update on navigation in total knee arthroplasty. Where are we today and what lies in the future?].

Authors:  T Renkawitz; S Winkler; M Weber; F von Kunow; J Grifka; C Baier
Journal:  Orthopade       Date:  2014-05       Impact factor: 1.087

Review 4.  Patient-specific instruments in total knee arthroplasty.

Authors:  Fabio Conteduca; Raffaele Iorio; Daniele Mazza; Andrea Ferretti
Journal:  Int Orthop       Date:  2014-01-07       Impact factor: 3.075

5.  Learning navigation - Learning with navigation. A review.

Authors:  Jean-Yves Jenny; Frederic Picard
Journal:  SICOT J       Date:  2017-06-02

6.  The Impact of Pinless Navigation in Conventionally Aligned Total Knee Arthroplasty.

Authors:  P Koenen; M M Schneider; T R Pfeiffer; B Bouillon; H Bäthis
Journal:  Adv Orthop       Date:  2018-02-08

7.  Clinical Significance of Combined Weight-Bearing and Non-Weight-Bearing Positions and MRI Examination in Evaluating Genu Varus.

Authors:  Shan Zhu; Zhi Wang; Feng He
Journal:  Orthop Surg       Date:  2020-10-04       Impact factor: 2.071

  7 in total

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