Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning.

Arthroplasty prosthesis replacement shoulder

Journal

Journal of shoulder and elbow arthroplasty
ISSN: 2471-5492
Titre abrégé: J Shoulder Elb Arthroplast
Pays: United States
ID NLM: 101763114

Informations de publication

Date de publication:
2022
Historique:
received: 03 01 2022
revised: 03 03 2022
accepted: 12 03 2022
entrez: 7 6 2022
pubmed: 8 6 2022
medline: 8 6 2022
Statut: epublish

Résumé

The rate, complexity, and cost of total shoulder arthroplasty (TSA) continues to grow. Technology has advanced pre-operative templating. Reducing cost of TSA has positive impact for the patient, manufacturer, and hospital. The aim of this study was to evaluate the accuracy of implant size selection based on 3-D templating. Our hypothesis was that pre-operative templating would enable accurate implant prediction within one size. Multicenter retrospective study of anatomic TSAs templated utilizing 3-D virtual planning technology. This program uses computed tomography (CT) scans allowing the surgeon to predict component sizes of the glenoid and humeral head and stem. Pre-operative templated implant size were compared to actual implant size at the time of surgery. Primary data analysis utilized unweighted Cohen's Kappa test. 111 TSAs were analyzed from five surgeons. Pre-operative templated glenoid sizes were within one size of actual implant in 99% and exactly matched in 89%. For patients requiring a posterior glenoid augment (n = 14), 100% of implants were within one size of the template and 93% matched exactly. For stemless humeral components (n = 87) implanted, 98% matched the pre-operative template within one size with 79% exactly matched. For stemmed components (n = 24), 88% of cases were within one size of the preoperative plan and exactly matching in 83%. Humeral head diameter matched within one size of the pre-operative template in 84% of cases and exactly matched in 72%. Pre-operative 3-D templating for TSAs can accurately predict glenoid and humeral component size. This study sets the groundwork for utilization of pre-operative 3-D templating as a potential method to reduce overall TSA costs by managing cost of implants, reducing inventory needs, and improving surgical efficiency.

Sections du résumé

Background UNASSIGNED
The rate, complexity, and cost of total shoulder arthroplasty (TSA) continues to grow. Technology has advanced pre-operative templating. Reducing cost of TSA has positive impact for the patient, manufacturer, and hospital. The aim of this study was to evaluate the accuracy of implant size selection based on 3-D templating. Our hypothesis was that pre-operative templating would enable accurate implant prediction within one size.
Methods UNASSIGNED
Multicenter retrospective study of anatomic TSAs templated utilizing 3-D virtual planning technology. This program uses computed tomography (CT) scans allowing the surgeon to predict component sizes of the glenoid and humeral head and stem. Pre-operative templated implant size were compared to actual implant size at the time of surgery. Primary data analysis utilized unweighted Cohen's Kappa test.
Results UNASSIGNED
111 TSAs were analyzed from five surgeons. Pre-operative templated glenoid sizes were within one size of actual implant in 99% and exactly matched in 89%. For patients requiring a posterior glenoid augment (n = 14), 100% of implants were within one size of the template and 93% matched exactly. For stemless humeral components (n = 87) implanted, 98% matched the pre-operative template within one size with 79% exactly matched. For stemmed components (n = 24), 88% of cases were within one size of the preoperative plan and exactly matching in 83%. Humeral head diameter matched within one size of the pre-operative template in 84% of cases and exactly matched in 72%.
Conclusion UNASSIGNED
Pre-operative 3-D templating for TSAs can accurately predict glenoid and humeral component size. This study sets the groundwork for utilization of pre-operative 3-D templating as a potential method to reduce overall TSA costs by managing cost of implants, reducing inventory needs, and improving surgical efficiency.

Identifiants

pubmed: 35669622
doi: 10.1177/24715492221098818
pii: 10.1177_24715492221098818
pmc: PMC9163733
doi:

Types de publication

Journal Article

Langues

eng

Pagination

24715492221098818

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Michael T Freehill (MT)

Department of Orthopaedic Surgery, Stanford University, Stanford, CA, USA.

Jack W Weick (JW)

Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.

Brent A Ponce (BA)

Department of Orthopaedic Surgery, University of Alabama Birmingham, Birmingham, AL, USA.

Asheesh Bedi (A)

Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.

Derek Haas (D)

Avant-Garde Health, Boston, MA, USA.

Bethany Ruffino (B)

Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.

Chris Robbins (C)

Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.

Alexander M Prete (AM)

Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA, USA.

John G Costouros (JG)

Institute for Joint Restoration and Research, Menlo Park, CA, USA.

Jon Jp Warner (JJ)

Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA, USA.

Classifications MeSH