Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty

Reverse total shoulder arthroplasty (rTSA) is commonly used in the shoulder replacement surgeries for the relief of pain and to restore function, in patients with grossly deficient rotator cuff. Primary instability due to glenoid loosening is one of the critical complications of rTSA; the implants a...

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Main Authors: Mehul A. Dharia, Jeffrey E. Bischoff, David Schneider
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.01116/full
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spelling doaj-07a15b401f244e69bf592a90bc5561b52020-11-24T22:22:56ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-08-01910.3389/fphys.2018.01116385670Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder ArthroplastyMehul A. Dharia0Jeffrey E. Bischoff1David Schneider2Computational Biomechanics, Corporate Research, Zimmer Biomet, Warsaw, IN, United StatesComputational Biomechanics, Corporate Research, Zimmer Biomet, Warsaw, IN, United StatesShoulder & Elbow Institute, Panorama Orthopedics & Spine Center, Golden, CO, United StatesReverse total shoulder arthroplasty (rTSA) is commonly used in the shoulder replacement surgeries for the relief of pain and to restore function, in patients with grossly deficient rotator cuff. Primary instability due to glenoid loosening is one of the critical complications of rTSA; the implants are designed and implanted such that the motion between the glenoid baseplate and underlying bone is minimized to facilitate adequate primary fixation. Finite element analysis (FEA) is commonly used to simulate the test setup per ASTM F2028-14 for comparing micromotion between designs or configurations to study the pre-clinical indications for stability. The FEA results can be influenced by the underlying modeling assumptions. It is a common practice to simplify the screw shafts by modeling them as cylinders and modeling the screw-bone interface using bonded contact, to evaluate micromotion in rTSA components. The goal of this study was to evaluate the effect of three different assumptions for modeling the screw-bone interface on micromotion predictions. The credibility of these modeling assumptions was examined by comparing the micromotion rank order predicted among three different modular configurations with similar information from the literature. Eight configurations were modeled using different number of screws, glenosphere offset, and baseplate sizes. An axial compression and shear load was applied through the glenosphere and micromotion at the baseplate-bone interface was measured. Three modeling assumptions pertaining to modeling of the screw-bone interface were used and micromotion results were compared to study the effect of number of peripheral screws, eccentricities, and baseplate diameter. The relative comparison of micromotion between configurations using two versus four peripheral screws remained unchanged irrespective of the three modeling assumptions. However, the relative comparison between two inferior offsets and baseplate sizes changed depending on the modeling assumptions used for the screw-bone interface. The finding from this study challenges the generally believed hypothesis that FEA models can be used to make relative comparison of micromotion in rTSA designs as long as the same modeling assumptions are used across all models. The comparisons with previously published work matched the finding from this study in some cases, whereas the comparison was contradicting in other cases. It is essential to validate the computer modeling approach with an experiment using similar designs and methods to increase the confidence in the predictions to make design decisions.https://www.frontiersin.org/article/10.3389/fphys.2018.01116/fullmicromotionstabilityinitial fixationreverse shoulder arthroplastyfinite element analysisscrew modeling
collection DOAJ
language English
format Article
sources DOAJ
author Mehul A. Dharia
Jeffrey E. Bischoff
David Schneider
spellingShingle Mehul A. Dharia
Jeffrey E. Bischoff
David Schneider
Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
Frontiers in Physiology
micromotion
stability
initial fixation
reverse shoulder arthroplasty
finite element analysis
screw modeling
author_facet Mehul A. Dharia
Jeffrey E. Bischoff
David Schneider
author_sort Mehul A. Dharia
title Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
title_short Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
title_full Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
title_fullStr Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
title_full_unstemmed Impact of Modeling Assumptions on Stability Predictions in Reverse Total Shoulder Arthroplasty
title_sort impact of modeling assumptions on stability predictions in reverse total shoulder arthroplasty
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2018-08-01
description Reverse total shoulder arthroplasty (rTSA) is commonly used in the shoulder replacement surgeries for the relief of pain and to restore function, in patients with grossly deficient rotator cuff. Primary instability due to glenoid loosening is one of the critical complications of rTSA; the implants are designed and implanted such that the motion between the glenoid baseplate and underlying bone is minimized to facilitate adequate primary fixation. Finite element analysis (FEA) is commonly used to simulate the test setup per ASTM F2028-14 for comparing micromotion between designs or configurations to study the pre-clinical indications for stability. The FEA results can be influenced by the underlying modeling assumptions. It is a common practice to simplify the screw shafts by modeling them as cylinders and modeling the screw-bone interface using bonded contact, to evaluate micromotion in rTSA components. The goal of this study was to evaluate the effect of three different assumptions for modeling the screw-bone interface on micromotion predictions. The credibility of these modeling assumptions was examined by comparing the micromotion rank order predicted among three different modular configurations with similar information from the literature. Eight configurations were modeled using different number of screws, glenosphere offset, and baseplate sizes. An axial compression and shear load was applied through the glenosphere and micromotion at the baseplate-bone interface was measured. Three modeling assumptions pertaining to modeling of the screw-bone interface were used and micromotion results were compared to study the effect of number of peripheral screws, eccentricities, and baseplate diameter. The relative comparison of micromotion between configurations using two versus four peripheral screws remained unchanged irrespective of the three modeling assumptions. However, the relative comparison between two inferior offsets and baseplate sizes changed depending on the modeling assumptions used for the screw-bone interface. The finding from this study challenges the generally believed hypothesis that FEA models can be used to make relative comparison of micromotion in rTSA designs as long as the same modeling assumptions are used across all models. The comparisons with previously published work matched the finding from this study in some cases, whereas the comparison was contradicting in other cases. It is essential to validate the computer modeling approach with an experiment using similar designs and methods to increase the confidence in the predictions to make design decisions.
topic micromotion
stability
initial fixation
reverse shoulder arthroplasty
finite element analysis
screw modeling
url https://www.frontiersin.org/article/10.3389/fphys.2018.01116/full
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