Literature DB >> 26256017

Testing of a novel pin array guide for accurate three-dimensional glenoid component positioning.

Gregory S Lewis1, Nicole M Stevens1, April D Armstrong2.   

Abstract

BACKGROUND: A substantial challenge in total shoulder replacement is accurate positioning and alignment of the glenoid component. This challenge arises from limited intraoperative exposure and complex arthritic-driven deformity. We describe a novel pin array guide and method for patient-specific guiding of the glenoid central drill hole. We also experimentally tested the hypothesis that this method would reduce errors in version and inclination compared with 2 traditional methods.
METHODS: Polymer models of glenoids were created from computed tomography scans from 9 arthritic patients. Each 3-dimensional (3D) printed scapula was shrouded to simulate the operative situation. Three different methods for central drill alignment were tested, all with the target orientation of 5° retroversion and 0° inclination: no assistance, assistance by preoperative 3D imaging, and assistance by the pin array guide. Version and inclination errors of the drill line were compared.
RESULTS: Version errors using the pin array guide (3° ± 2°) were significantly lower than version errors associated with no assistance (9° ± 7°) and preoperative 3D imaging (8° ± 6°). Inclination errors were also significantly lower using the pin array guide compared with no assistance. DISCUSSION AND
CONCLUSION: The new pin array guide substantially reduced errors in orientation of the central drill line. The guide method is patient specific but does not require rapid prototyping and instead uses adjustments to an array of pins based on automated software calculations. This method may ultimately provide a cost-effective solution enabling surgeons to obtain accurate orientation of the glenoid.
Copyright © 2015 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Glenoid positioning; alignment guide; preoperative planning; three-dimensional imaging; total shoulder arthroplasty

Mesh:

Year:  2015        PMID: 26256017     DOI: 10.1016/j.jse.2015.06.022

Source DB:  PubMed          Journal:  J Shoulder Elbow Surg        ISSN: 1058-2746            Impact factor:   3.019


  6 in total

1.  The arthritic glenoid: anatomy and arthroplasty designs.

Authors:  Nikolas K Knowles; Louis M Ferreira; George S Athwal
Journal:  Curr Rev Musculoskelet Med       Date:  2016-03

2.  Description and reproducibility assessment of a new computerised tomography scan index to measure the glenoid orientation in relation to the anterior glenoid surface.

Authors:  Constantina Moraiti; Shahnaz Klouche; Jean David Werthel; Thomas Bauer; Philippe Hardy
Journal:  Int Orthop       Date:  2016-10-04       Impact factor: 3.075

3.  Proper benefit of a three dimensional pre-operative planning software for glenoid component positioning in total shoulder arthroplasty.

Authors:  Adrien Jacquot; Marc-Olivier Gauci; Jean Chaoui; Mohammed Baba; Pierric Deransart; Pascal Boileau; Daniel Mole; Gilles Walch
Journal:  Int Orthop       Date:  2018-07-02       Impact factor: 3.075

Review 4.  Glenoid component positioning and guidance techniques in anatomic and reverse total shoulder arthroplasty: A systematic review and meta-analysis.

Authors:  David M Burns; Tym Frank; Cari M Whyne; Patrick Dg Henry
Journal:  Shoulder Elbow       Date:  2018-10-26

5.  Novel 3-dimensionally printed patient-specific guide improves accuracy compared with standard total shoulder arthroplasty guide: a cadaveric study.

Authors:  Brandon C Cabarcas; Gregory L Cvetanovich; Alejandro A Espinoza-Orias; Nozomu Inoue; Anirudh K Gowd; Eamon Bernardoni; Nikhil N Verma
Journal:  JSES Open Access       Date:  2019-06-15

Review 6.  Accuracy of patient-specific instrumentation in shoulder arthroplasty: a systematic review and meta-analysis.

Authors:  Brandon C Cabarcas; Gregory L Cvetanovich; Anirudh K Gowd; Joseph N Liu; Brandon J Manderle; Nikhil N Verma
Journal:  JSES Open Access       Date:  2019-09-18
  6 in total

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