Preoperative glenoid considerations for shoulder arthroplasty: a review.

glenoid classification glenoid deformity preoperative planning shoulder 3D CT scan shoulder arthroplasty

Journal

EFORT open reviews
ISSN: 2058-5241
Titre abrégé: EFORT Open Rev
Pays: England
ID NLM: 101695674

Informations de publication

Date de publication:
Mar 2020
Historique:
entrez: 17 4 2020
pubmed: 17 4 2020
medline: 17 4 2020
Statut: epublish

Résumé

Preoperative assessment of the glenoid in the setting of shoulder arthroplasty is critical to account for variations in glenoid morphology, wear, version, inclination, and glenohumeral subluxation.Three-dimensional computed tomography (3D CT) scan assessment of the morphology of glenoid erosion allows for a more accurate surgical decision-making process to correct deformity and restore the joint line.Newer technology has brought forth computer-assisted software for glenoid planning in shoulder arthroplasty and patient-specific instrumentation.There have been promising early findings, although further evaluation is needed to determine how this technology impacts implant survivorship, function, and patient-reported outcomes. Cite this article:

Identifiants

pubmed: 32296546
doi: 10.1302/2058-5241.5.190011
pii: 10.1302_2058-5241.5.190011
pmc: PMC7144890
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

126-137

Informations de copyright

© 2020 The author(s).

Déclaration de conflit d'intérêts

ICMJE Conflict of interest statement: MK reports paid board membership of and consultancy for Wright Medical/Tornier outside the submitted work. The other authors declare no conflict of interest relevant to this work.

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Auteurs

Stephen Gates (S)

Department of Orthopaedic Surgery, Shoulder Service, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Brain Sager (B)

Department of Orthopaedic Surgery, Shoulder Service, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Michael Khazzam (M)

Department of Orthopaedic Surgery, Shoulder Service, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Classifications MeSH