Literature DB >> 27306137

A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity.

Michael D Harris, Adam J Cyr, Azhar A Ali, Clare K Fitzpatrick, Paul J Rullkoetter, Lorin P Maletsky, Kevin B Shelburne.   

Abstract

Modeling complex knee biomechanics is a continual challenge, which has resulted in many models of varying levels of quality, complexity, and validation. Beyond modeling healthy knees, accurately mimicking pathologic knee mechanics, such as after cruciate rupture or meniscectomy, is difficult. Experimental tests of knee laxity can provide important information about ligament engagement and overall contributions to knee stability for development of subject-specific models to accurately simulate knee motion and loading. Our objective was to provide combined experimental tests and finite-element (FE) models of natural knee laxity that are subject-specific, have one-to-one experiment to model calibration, simulate ligament engagement in agreement with literature, and are adaptable for a variety of biomechanical investigations (e.g., cartilage contact, ligament strain, in vivo kinematics). Calibration involved perturbing ligament stiffness, initial ligament strain, and attachment location until model-predicted kinematics and ligament engagement matched experimental reports. Errors between model-predicted and experimental kinematics averaged <2 deg during varus-valgus (VV) rotations, <6 deg during internal-external (IE) rotations, and <3 mm of translation during anterior-posterior (AP) displacements. Engagement of the individual ligaments agreed with literature descriptions. These results demonstrate the ability of our constraint models to be customized for multiple individuals and simultaneously call attention to the need to verify that ligament engagement is in good general agreement with literature. To facilitate further investigations of subject-specific or population based knee joint biomechanics, data collected during the experimental and modeling phases of this study are available for download by the research community.

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Year:  2016        PMID: 27306137      PMCID: PMC4967880          DOI: 10.1115/1.4033882

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  39 in total

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Journal:  J Biomech       Date:  1996-12       Impact factor: 2.712

6.  Mapping of contributions from collateral ligaments to overall knee joint constraint: an experimental cadaveric study.

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Journal:  J Biomech Eng       Date:  2015-03-25       Impact factor: 2.097

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Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

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10.  Validation of predicted patellofemoral mechanics in a finite element model of the healthy and cruciate-deficient knee.

Authors:  Azhar A Ali; Sami S Shalhoub; Adam J Cyr; Clare K Fitzpatrick; Lorin P Maletsky; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2015-12-21       Impact factor: 2.712

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  12 in total

Review 1.  Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Overall Strategy.

Authors:  Ahmet Erdemir; Thor F Besier; Jason P Halloran; Carl W Imhauser; Peter J Laz; Tina M Morrison; Kevin B Shelburne
Journal:  J Biomech Eng       Date:  2019-07-01       Impact factor: 2.097

2.  The interaction of muscle moment arm, knee laxity, and torque in a multi-scale musculoskeletal model of the lower limb.

Authors:  Donald R Hume; Alessandro Navacchia; Azhar A Ali; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-06-15       Impact factor: 2.712

3.  A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb.

Authors:  Alessandro Navacchia; Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-12-28       Impact factor: 2.712

4.  Knee Abduction and Internal Rotation Moments Increase ACL Force During Landing Through the Posterior Slope of the Tibia.

Authors:  Alessandro Navacchia; Nathaniel A Bates; Nathan D Schilaty; Aaron J Krych; Timothy E Hewett
Journal:  J Orthop Res       Date:  2019-05-06       Impact factor: 3.494

5.  Comparison of Marker-Based and Stereo Radiography Knee Kinematics in Activities of Daily Living.

Authors:  Donald R Hume; Vasiliki Kefala; Michael D Harris; Kevin B Shelburne
Journal:  Ann Biomed Eng       Date:  2018-06-14       Impact factor: 3.934

6.  Combined measurement and modeling of specimen-specific knee mechanics for healthy and ACL-deficient conditions.

Authors:  Azhar A Ali; Michael D Harris; Sami Shalhoub; Lorin P Maletsky; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2017-04-20       Impact factor: 2.712

7.  ReadySim: A computational framework for building explicit finite element musculoskeletal simulations directly from motion laboratory data.

Authors:  Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  Int J Numer Method Biomed Eng       Date:  2020-09-01       Impact factor: 2.747

8.  Viscoelastic characteristics of the canine cranial cruciate ligament complex at slow strain rates.

Authors:  Rosti Readioff; Brendan Geraghty; Ahmed Elsheikh; Eithne Comerford
Journal:  PeerJ       Date:  2020-12-22       Impact factor: 2.984

9.  Hamstrings Contraction Regulates the Magnitude and Timing of the Peak ACL Loading During the Drop Vertical Jump in Female Athletes.

Authors:  Ryo Ueno; Alessandro Navacchia; Nathan D Schilaty; Gregory D Myer; Timothy E Hewett; Nathaniel A Bates
Journal:  Orthop J Sports Med       Date:  2021-09-29

10.  The effect of constitutive representations and structural constituents of ligaments on knee joint mechanics.

Authors:  Gustavo A Orozco; Petri Tanska; Mika E Mononen; Kimmo S Halonen; Rami K Korhonen
Journal:  Sci Rep       Date:  2018-02-02       Impact factor: 4.379

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