Effects of rotator cuff tears on muscle moment arms: A computational study

Adams, Corinne R.; Baldwin, Mark A.; Laz, Peter J.; Rullkoetter, Paul J.; Langenderfer, Joseph E.

doi:10.1016/j.jbiomech.2007.05.017

Cited by 23 publications

(19 citation statements)

References 43 publications

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“…3 Modeling the humeral cartilage as a rigid structure is also a modeling assumption; however, this approach has been used by a number of other finite element models modeling soft tissues. 2,8 This was done for a number of reasons: (1) this approach has been shown to be acceptable under moderate loading conditions 8 and is supported by the work of Ellis et al 18 ;…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

et al. 2010

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Pathology of the superior glenoid labrum is a common source of musculoskeletal pain and disability. One of the proposed mechanisms of injury to the labrum is superior humeral head migration, which can be seen with rotator cuff insufficiency. Due to the size, anatomical location, and complex composition of the labrum, laboratory experiments have many methodological difficulties. The purpose of this study was to develop and validate a finite element model of the glenoid labrum. The model developed includes the glenoid labrum, glenoid cartilage, glenoid bone, and the humeral head cartilage. Labral displacements derived from the finite element model were compared to those measured during a controlled validation experiment simulating superior humeral head translations of 1, 2, and 3 mm. The results of the finite element model compared well to experimental measurements, falling within one standard deviation of the experimental data in most cases. The model predicted maximum average strains in the superior labrum of 7.9, 10.1, and 11.9%, for 1, 2, and 3 mm of humeral translation, respectively. The correspondence between the finite element model and the validation experiment supports the use of this model to better understand the pathomechanics of the superior labrum.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

et al. 2010

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“…However, this will inevitably lead to discrepancies between the simulated results and the realistic Normally, the first step in FE shoulder modelling is to reconstruct the 2D or 3D geometry of hard tissues and soft tissues of the musculoskeletal structure. Different approaches have been used for acquiring the dataset for the geometric construction varying from using literature data [71], average measured data [36] to subject-specific medical imaging data [31,32,39,41,44,45,48,52,53,56,[58][59][60]62,66,68,84]. For geometric construction of bones, the most widely used approach is based on computed tomography (CT) imaging data, for example, the CT image databases for the modelling of the cervical spine and hip joint in our previous studies [85,86].…”

Section: Fe Shoulder Modelling Techniquesmentioning

confidence: 99%

“…While in some studies the bone geometry was measured directly in cadaveric dissections or used the datasets from literature [32,39,48,56]. For geometric modelling of soft tissues, such as musculotendinous units and ligaments, datasets obtained from magnetic resonance (MR) imaging or colour cryosections were normally used [32,41,44,45,48]. However, the geometric reconstruction of articular cartilages still remains challenging.…”

Section: Fe Shoulder Modelling Techniquesmentioning

confidence: 99%

Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques

Zheng

Zou

Bartolo

et al. 2016

Numer Methods Biomed Eng

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SummaryThe human shoulder is a complicated musculoskeletal structure and is a perfect compromise between mobility and stability. The objective of this paper is to provide a thorough review of previous finite element (FE) studies in biomechanics of the human shoulder complex. Those FE studies to investigate shoulder biomechanics have been reviewed according to the physiological and clinical problems addressed: glenohumeral joint stability, rotator cuff tears, joint capsular and labral defects and shoulder arthroplasty. The major findings, limitations, potential clinical applications and modelling techniques of those FE studies are critically discussed. The main challenges faced in order to accurately represent the realistic physiological functions of the shoulder mechanism in FE simulations involve (1) subject‐specific representation of the anisotropic nonhomogeneous material properties of the shoulder tissues in both healthy and pathological conditions; (2) definition of boundary and loading conditions based on individualised physiological data; (3) more comprehensive modelling describing the whole shoulder complex including appropriate three‐dimensional (3D) representation of all major shoulder hard tissues and soft tissues and their delicate interactions; (4) rigorous in vivo experimental validation of FE simulation results. Fully validated shoulder FE models would greatly enhance our understanding of the aetiology of shoulder disorders, and hence facilitate the development of more efficient clinical diagnoses, non‐surgical and surgical treatments, as well as shoulder orthotics and prosthetics. © 2016 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.

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“…Multibody dynamics software studies may be used to simulate the effect of ligament deficiencies on the knee and provide faster joint analyses over wide ranges of motion [20]. However, any modeling solution should accurately represent the ligament and muscle lines of action and moment arms to realistically simulate joints, and inaccurate information about the soft tissue lines of action and moment arms may preclude complete kinematic joint simulation [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Effect of six degrees of freedom knee kinematics on ligament length and moment arm in an intact knee model

Özada

2015

THC

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Abstract. BACKGROUND:Biomechanics studies can help improve athletic performance. However, the biomechanics of knee joint ligament length changes and moment arms over six degrees of freedom (DOF) have yet to be established. OBJECTIVE: To construct a knee model to investigate the length and moment arm changes of the anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), medial collateral ligament (MCL), and lateral collateral ligament (LCL). METHOD: Six DOF joint modeling and analysis were performed using specialized modeling software. RESULTS: The length of all ligaments varied with tibiofemoral flexion angle, contributed to joint motion, and restrained the joint in different positions. The ACL, MCL, and LCL lengths decreased, the PCL increased, the posterior tibial translation increased, the MCL moment arm increased, and the LCL moment arm decreased between 0• and 90• . The primary ligament restraints were the PCL (0, and PCL (60The restraining function of each ligament during motion can be modeled based on changes in ligament lengths during tibial translations and rotations during flexion. Understanding the correlations between ligament lengths and moment arm changes over a wide range of motion will help improve our understanding of joint kinematics and may be useful for the diagnosis and treatment of sports injury.

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Effects of rotator cuff tears on muscle moment arms: A computational study

Cited by 23 publications

References 43 publications

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques

Effect of six degrees of freedom knee kinematics on ligament length and moment arm in an intact knee model

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