Assessment of surgeon variability in preoperative planning of reverse total shoulder arthroplasty: a quantitative comparison of 49 cases planned by 9 surgeons.


Journal

Journal of shoulder and elbow surgery
ISSN: 1532-6500
Titre abrégé: J Shoulder Elbow Surg
Pays: United States
ID NLM: 9206499

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 26 10 2019
revised: 05 02 2020
accepted: 20 02 2020
pubmed: 31 5 2020
medline: 17 2 2021
entrez: 31 5 2020
Statut: ppublish

Résumé

Preoperative planning software is gaining utility in reverse total shoulder arthroplasty (RTSA), particularly when addressing pathologic glenoid wear. The purpose of this study was to quantify inter- and intrasurgeon variability in preoperative planning a series of RTSA cases to identify differences in how surgeons consider optimal implant placement. This may help identify opportunities to establish consensus when correlating plan differences with clinical data. A total of 49 computed tomography scans from actual RTSA cases were planned for RTSA by 9 fellowship-trained shoulder surgeons using the same platform (Exactech GPS, Exactech Inc., Gainesville, FL, USA). Each case was planned a second time 6-12 weeks later. Variability within and between surgeons was measured for implant selection, version correction, inclination correction, and implant face position. Interclass correlation coefficients, and Pearson and Light's kappa coefficient were used for statistical analysis. There was considerable variation in the frequency of augmented baseplate selection between surgeons and between rounds for the same surgeon. Thresholds for augment use also varied between surgeons. Interclass correlation coefficients for intersurgeon variability ranged from 0.43 for version, 0.42 for inclination, and 0.25 for baseplate type. Pearson coefficients for intrasurgeon variability were 0.34 for version and 0.30 for inclination. Light's kappa coefficient for baseplate type was 0.61. This study demonstrates substantial variability both between surgeons and between rounds for individual surgeons when planning RTSA. Although average differences between plans were relatively small, there were large differences in specific cases suggesting little consensus on optimal planning parameters and opportunities to establish guidelines based on glenoid pathoanatomy. The correlation of preoperative planning with clinical outcomes will help to establish such guidelines.

Sections du résumé

BACKGROUND BACKGROUND
Preoperative planning software is gaining utility in reverse total shoulder arthroplasty (RTSA), particularly when addressing pathologic glenoid wear. The purpose of this study was to quantify inter- and intrasurgeon variability in preoperative planning a series of RTSA cases to identify differences in how surgeons consider optimal implant placement. This may help identify opportunities to establish consensus when correlating plan differences with clinical data.
METHODS METHODS
A total of 49 computed tomography scans from actual RTSA cases were planned for RTSA by 9 fellowship-trained shoulder surgeons using the same platform (Exactech GPS, Exactech Inc., Gainesville, FL, USA). Each case was planned a second time 6-12 weeks later. Variability within and between surgeons was measured for implant selection, version correction, inclination correction, and implant face position. Interclass correlation coefficients, and Pearson and Light's kappa coefficient were used for statistical analysis.
RESULTS RESULTS
There was considerable variation in the frequency of augmented baseplate selection between surgeons and between rounds for the same surgeon. Thresholds for augment use also varied between surgeons. Interclass correlation coefficients for intersurgeon variability ranged from 0.43 for version, 0.42 for inclination, and 0.25 for baseplate type. Pearson coefficients for intrasurgeon variability were 0.34 for version and 0.30 for inclination. Light's kappa coefficient for baseplate type was 0.61.
CONCLUSIONS CONCLUSIONS
This study demonstrates substantial variability both between surgeons and between rounds for individual surgeons when planning RTSA. Although average differences between plans were relatively small, there were large differences in specific cases suggesting little consensus on optimal planning parameters and opportunities to establish guidelines based on glenoid pathoanatomy. The correlation of preoperative planning with clinical outcomes will help to establish such guidelines.

Identifiants

pubmed: 32471752
pii: S1058-2746(20)30234-2
doi: 10.1016/j.jse.2020.02.023
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2080-2088

Informations de copyright

Copyright © 2020 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Auteurs

Moby Parsons (M)

The Knee, Hip and Shoulder Center, Portsmouth, NH, USA. Electronic address: mobyparsons@gmail.com.

Alex Greene (A)

Exactech Inc., Gainesville, FL, USA.

Sandrine Polakovic (S)

Exactech Inc., Gainesville, FL, USA.

Ian Byram (I)

Bone and Joint Institute of Tennessee, Nashville, TN, USA.

Emilie Cheung (E)

Department of Orthopaedics, Stanford University, Palo Alto, CA, USA.

Richard Jones (R)

Southeastern Sports Medicine, Asheville, NC, USA.

Rick Papandrea (R)

Orthopaedic Associates of Wisconsin, Pewaukee, WI, USA.

Ari Youderian (A)

South County Orthopaedic Specialists, Laguna Woods, CA, USA.

Thomas Wright (T)

Department of Orthopaedic Surgery, University of Florida, Gainesville, FL, USA.

Pierre-Henri Flurin (PH)

Clinique du Sports, Bordeaux, France.

Joseph Zuckerman (J)

Department of Orthopaedics, New York University Langone Medicine Center, New York, NY, USA.

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Classifications MeSH