TY - JOUR
T1 - Modeling a rotator cuff tear
T2 - Individualized shoulder muscle forces influence glenohumeral joint contact force predictions
AU - Vidt, Meghan E.
AU - Santago, Anthony C.
AU - Marsh, Anthony P.
AU - Hegedus, Eric J.
AU - Tuohy, Christopher J.
AU - Poehling, Gary G.
AU - Freehill, Michael T.
AU - Miller, Michael E.
AU - Saul, Katherine R.
N1 - Funding Information:
This study was funded by the National Institute on Aging (NIA) of the National Institutes of Health (NIH) [grant number F31AG040921, F31AG050921]; the Wake Forest University Claude D. Pepper Older Americans Independence Center [grant number P30AG021332]; the National Science Foundation (NSF) [grant number 1405246]; the Wake Forest Center for Biomolecular Imaging; and the Wake Forest School of Medicine Translational Science Institute Clinical Research Unit. These funding sources had no role in the study design, collection, analysis, and interpretation of the data, in writing of this manuscript, or the decision to submit to this journal for publication.
Funding Information:
This study was funded by the National Institute on Aging (NIA) of the National Institutes of Health (NIH) [grant number F31AG040921 , F31AG050921 ]; the Wake Forest University Claude D. Pepper Older Americans Independence Center [grant number P30AG021332 ]; the National Science Foundation (NSF) [grant number 1405246 ]; the Wake Forest Center for Biomolecular Imaging ; and the Wake Forest School of Medicine Translational Science Institute Clinical Research Unit . These funding sources had no role in the study design, collection, analysis, and interpretation of the data, in writing of this manuscript, or the decision to submit to this journal for publication.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/12
Y1 - 2018/12
N2 - Background: Rotator cuff tears in older individuals may result in decreased muscle forces and changes to force distribution across the glenohumeral joint. Reduced muscle forces may impact functional task performance, altering glenohumeral joint contact forces, potentially contributing to instability or joint damage risk. Our objective was to evaluate the influence of rotator cuff muscle force distribution on glenohumeral joint contact force during functional pull and axilla wash tasks using individualized computational models. Methods: Fourteen older individuals (age 63.4 yrs. (SD 1.8)) were studied; 7 with rotator cuff tear, 7 matched controls. Muscle volume measurements were used to scale a nominal upper limb model's muscle forces to develop individualized models and perform dynamic simulations of movement tracking participant-derived kinematics. Peak resultant glenohumeral joint contact force, and direction and magnitude of force components were compared between groups using ANCOVA. Findings: Results show individualized muscle force distributions for rotator cuff tear participants had reduced peak resultant joint contact force for pull and axilla wash (P ≤ 0.0456), with smaller compressive components of peak resultant force for pull (P = 0.0248). Peak forces for pull were within the glenoid. For axilla wash, peak joint contact was directed near/outside the glenoid rim for three participants; predictions required individualized muscle forces since nominal muscle forces did not affect joint force location. Interpretation: Older adults with rotator cuff tear had smaller peak resultant and compressive forces, possibly indicating increased instability or secondary joint damage risk. Outcomes suggest predicted joint contact force following rotator cuff tear is sensitive to including individualized muscle forces.
AB - Background: Rotator cuff tears in older individuals may result in decreased muscle forces and changes to force distribution across the glenohumeral joint. Reduced muscle forces may impact functional task performance, altering glenohumeral joint contact forces, potentially contributing to instability or joint damage risk. Our objective was to evaluate the influence of rotator cuff muscle force distribution on glenohumeral joint contact force during functional pull and axilla wash tasks using individualized computational models. Methods: Fourteen older individuals (age 63.4 yrs. (SD 1.8)) were studied; 7 with rotator cuff tear, 7 matched controls. Muscle volume measurements were used to scale a nominal upper limb model's muscle forces to develop individualized models and perform dynamic simulations of movement tracking participant-derived kinematics. Peak resultant glenohumeral joint contact force, and direction and magnitude of force components were compared between groups using ANCOVA. Findings: Results show individualized muscle force distributions for rotator cuff tear participants had reduced peak resultant joint contact force for pull and axilla wash (P ≤ 0.0456), with smaller compressive components of peak resultant force for pull (P = 0.0248). Peak forces for pull were within the glenoid. For axilla wash, peak joint contact was directed near/outside the glenoid rim for three participants; predictions required individualized muscle forces since nominal muscle forces did not affect joint force location. Interpretation: Older adults with rotator cuff tear had smaller peak resultant and compressive forces, possibly indicating increased instability or secondary joint damage risk. Outcomes suggest predicted joint contact force following rotator cuff tear is sensitive to including individualized muscle forces.
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U2 - 10.1016/j.clinbiomech.2018.10.004
DO - 10.1016/j.clinbiomech.2018.10.004
M3 - Article
C2 - 30308434
AN - SCOPUS:85054443654
VL - 60
SP - 20
EP - 29
JO - Clinical Biomechanics
JF - Clinical Biomechanics
SN - 0268-0033
ER -