Literature DB >> 23062657

Training benefits of computer navigated total knee arthroplasty.

Gavin J Love1, Andrew W G Kinninmonth.   

Abstract

BACKGROUND: Computer navigation aims to improve the surgical accuracy of total knee replacement by more reliably placing the cutting blocks in the optimum location in order to create a neutral mechanical axis. Aside from the obvious clinical benefit to the patient, we believe computer navigation has a valuable role as a training tool. The aim of this study is to demonstrate the effectiveness of computer navigation as a training tool in total knee arthroplasty.
METHODS: We performed a training exercise using Sawbone plastic models to simulate four common sources of error in the saw technique; 1. cutting guide movement due to inadequate fixation, 2. the effect of using slotted or open cutting guides, 3. the effect of bending the saw blade, and 4. the effect of recutting on the accuracy of the intended resection.
RESULTS: We found that bony resection errors resulted from; use of less than three pins to fix the cutting guide, use of open cutting guides, deliberate and inadvertent "hanging" or "lifting" of the saw on the cutting guide and recutting after moving the cutting guide.
CONCLUSION: The immediate feedback provided by computer navigated TKA allows surgeons and trainee surgeons the opportunity to improve the accuracy of their technique and increase awareness of their individual sources of error in TKA. CLINICAL RELEVANCE: Used as a teaching tool, computer navigation can immediately identify errors in surgical technique and target subsequent training to minimise these errors. Training can be conducted whilst ensuring there is no detriment to patient safety.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Mesh:

Year:  2012        PMID: 23062657     DOI: 10.1016/j.knee.2012.09.012

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


  6 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.  [Computer-assisted systems in total knee arthroplasty. Useful aid or only additional costs].

Authors:  T Calliess; M Ettinger; H Windhagen
Journal:  Orthopade       Date:  2014-06       Impact factor: 1.087

Review 4.  [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

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

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

6.  Notching is less, if femoral component sagittal positioning is planned perpendicular to distal femur anterior cortex axis, in navigated TKA.

Authors:  Raj Kanna; Chandramohan Ravichandran; Gautam M Shetty
Journal:  Knee Surg Relat Res       Date:  2021-12-24
  6 in total

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