Literature DB >> 28877327

Advances in Computer-Aided Technology for Total Knee Arthroplasty.

Ahmed Siddiqi, W Mack Hardaker, Krishna Kiran Eachempati, Neil P Sheth.   

Abstract

Technology such as computer-assisted navigation systems, robotic-assisted systems, and patient-specific instrumentation has been increasingly explored during the past decade in an effort to optimize component alignment and improve clinical outcomes. Computer-assisted navigation accurately restores mechanical-axis alignment, but clinical outcome data are inconsistent. Computer-assisted navigation gap balancing has shown early promise in establishing mechanical-axis alignment with improved functional outcomes. Robotic-assisted systems more accurately restore component alignment when compared with computer-assisted navigation, but clinical outcomes have yet to be determined. Patient-specific instrumentation does not consistently improve alignment, accuracy, or patient outcomes. Studies demonstrating implant survivorship, cost-efficiency, and improved clinical outcomes and patient satisfaction are needed. [Orthopedics. 2017; 40(6):338-352.]. Copyright 2017, SLACK Incorporated.

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Mesh:

Year:  2017        PMID: 28877327     DOI: 10.3928/01477447-20170831-02

Source DB:  PubMed          Journal:  Orthopedics        ISSN: 0147-7447            Impact factor:   1.390


  4 in total

1.  Objective quantification of ligament balancing using VERASENSE in measured resection and modified gap balance total knee arthroplasty.

Authors:  Kyu-Jin Cho; Jong-Keun Seon; Won-Young Jang; Chun-Gon Park; Eun-Kyoo Song
Journal:  BMC Musculoskelet Disord       Date:  2018-07-27       Impact factor: 2.362

2.  Health costs and efficiencies of patient-specific and single-use instrumentation in total knee arthroplasty: a randomised controlled trial.

Authors:  Andre Attard; Gwenllian Fflur Tawy; Michiel Simons; Philip Riches; Philip Rowe; Leela C Biant
Journal:  BMJ Open Qual       Date:  2019-05-29

3.  Robotic arm assisted total knee arthroplasty workflow optimization, operative times and learning curve.

Authors:  Luis Grau; Max Lingamfelter; Danielle Ponzio; Zachary Post; Alvin Ong; David Le; Fabio Orozco
Journal:  Arthroplast Today       Date:  2019-06-27

Review 4.  A clinical review of robotic navigation in total knee arthroplasty: historical systems to modern design.

Authors:  Ahmed Siddiqi; Timothy Horan; Robert M Molloy; Michael R Bloomfield; Preetesh D Patel; Nicolas S Piuzzi
Journal:  EFORT Open Rev       Date:  2021-04-01
  4 in total

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