Literature DB >> 24763546

Finite element model of the knee for investigation of injury mechanisms: development and validation.

Ali Kiapour, Ata M Kiapour, Vikas Kaul, Carmen E Quatman, Samuel C Wordeman, Timothy E Hewett, Constantine K Demetropoulos, Vijay K Goel.   

Abstract

Multiple computational models have been developed to study knee biomechanics. However, the majority of these models are mainly validated against a limited range of loading conditions and/or do not include sufficient details of the critical anatomical structures within the joint. Due to the multifactorial dynamic nature of knee injuries, anatomic finite element (FE) models validated against multiple factors under a broad range of loading conditions are necessary. This study presents a validated FE model of the lower extremity with an anatomically accurate representation of the knee joint. The model was validated against tibiofemoral kinematics, ligaments strain/force, and articular cartilage pressure data measured directly from static, quasi-static, and dynamic cadaveric experiments. Strong correlations were observed between model predictions and experimental data (r > 0.8 and p < 0.0005 for all comparisons). FE predictions showed low deviations (root-mean-square (RMS) error) from average experimental data under all modes of static and quasi-static loading, falling within 2.5 deg of tibiofemoral rotation, 1% of anterior cruciate ligament (ACL) and medial collateral ligament (MCL) strains, 17 N of ACL load, and 1 mm of tibiofemoral center of pressure. Similarly, the FE model was able to accurately predict tibiofemoral kinematics and ACL and MCL strains during simulated bipedal landings (dynamic loading). In addition to minimal deviation from direct cadaveric measurements, all model predictions fell within 95% confidence intervals of the average experimental data. Agreement between model predictions and experimental data demonstrates the ability of the developed model to predict the kinematics of the human knee joint as well as the complex, nonuniform stress and strain fields that occur in biological soft tissue. Such a model will facilitate the in-depth understanding of a multitude of potential knee injury mechanisms with special emphasis on ACL injury.

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Year:  2014        PMID: 24763546      PMCID: PMC5101024          DOI: 10.1115/1.4025692

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


  81 in total

1.  Valgus knee motion during landing in high school female and male basketball players.

Authors:  Kevin R Ford; Gregory D Myer; Timothy E Hewett
Journal:  Med Sci Sports Exerc       Date:  2003-10       Impact factor: 5.411

Review 2.  Anatomy and biomechanics of the medial patellofemoral ligament.

Authors:  A A Amis; P Firer; J Mountney; W Senavongse; N P Thomas
Journal:  Knee       Date:  2003-09       Impact factor: 2.199

3.  A new method to investigate in vivo knee behavior using a finite element model of the lower limb.

Authors:  P Beillas; G Papaioannou; S Tashman; K H Yang
Journal:  J Biomech       Date:  2004-07       Impact factor: 2.712

Review 4.  The movement of the normal tibio-femoral joint.

Authors:  M A R Freeman; V Pinskerova
Journal:  J Biomech       Date:  2005-02       Impact factor: 2.712

5.  A global verification study of a quasi-static knee model with multi-bundle ligaments.

Authors:  T J Mommersteeg; R Huiskes; L Blankevoort; J G Kooloos; J M Kauer; P G Maathuis
Journal:  J Biomech       Date:  1996-12       Impact factor: 2.712

6.  Cartilage pressure distributions provide a footprint to define female anterior cruciate ligament injury mechanisms.

Authors:  Carmen E Quatman; Ali Kiapour; Gregory D Myer; Kevin R Ford; Constantine K Demetropoulos; Vijay K Goel; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2011-04-12       Impact factor: 6.202

7.  The limitations of canine trabecular bone as a model for human: a biomechanical study.

Authors:  J L Kuhn; S A Goldstein; M J Ciarelli; L S Matthews
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

8.  The effect of connective tissue material uncertainties on knee joint mechanics under isolated loading conditions.

Authors:  Yasin Y Dhaher; Tae-Hyun Kwon; Megan Barry
Journal:  J Biomech       Date:  2010-12-01       Impact factor: 2.712

9.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

10.  Morphologic characteristics help explain the gender difference in peak anterior cruciate ligament strain during a simulated pivot landing.

Authors:  David B Lipps; Youkeun K Oh; James A Ashton-Miller; Edward M Wojtys
Journal:  Am J Sports Med       Date:  2011-09-14       Impact factor: 6.202

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  35 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

Review 2.  The influence of muscle-tendon forces on ACL loading during jump landing: a systematic review.

Authors:  Katja Oberhofer; S H Hosseini Nasab; Pascal Schütz; Barbara Postolka; Jess G Snedeker; William R Taylor; Renate List
Journal:  Muscles Ligaments Tendons J       Date:  2017-05-10

3.  High muscle co-contraction does not result in high joint forces during gait in anterior cruciate ligament deficient knees.

Authors:  Ashutosh Khandha; Kurt Manal; Jacob Capin; Elizabeth Wellsandt; Adam Marmon; Lynn Snyder-Mackler; Thomas S Buchanan
Journal:  J Orthop Res       Date:  2018-10-09       Impact factor: 3.494

4.  Multiplanar Loading of the Knee and Its Influence on Anterior Cruciate Ligament and Medial Collateral Ligament Strain During Simulated Landings and Noncontact Tears.

Authors:  Nathaniel A Bates; Nathan D Schilaty; Christopher V Nagelli; Aaron J Krych; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2019-05-31       Impact factor: 6.202

5.  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

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

Authors:  Michael D Harris; Adam J Cyr; Azhar A Ali; Clare K Fitzpatrick; Paul J Rullkoetter; Lorin P Maletsky; Kevin B Shelburne
Journal:  J Biomech Eng       Date:  2016-08-01       Impact factor: 2.097

7.  A comprehensive testing protocol for macro-scale mechanical characterization of knee articular cartilage with documented experimental repeatability.

Authors:  Snehal Chokhandre; Ahmet Erdemir
Journal:  J Mech Behav Biomed Mater       Date:  2020-08-08

8.  Gait mechanics in those with/without medial compartment knee osteoarthritis 5 years after anterior cruciate ligament reconstruction.

Authors:  Ashutosh Khandha; Kurt Manal; Elizabeth Wellsandt; Jacob Capin; Lynn Snyder-Mackler; Thomas S Buchanan
Journal:  J Orthop Res       Date:  2016-04-27       Impact factor: 3.494

9.  Timing sequence of multi-planar knee kinematics revealed by physiologic cadaveric simulation of landing: implications for ACL injury mechanism.

Authors:  Ata M Kiapour; Carmen E Quatman; Vijay K Goel; Samuel C Wordeman; Timothy E Hewett; Constantine K Demetropoulos
Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-10-31       Impact factor: 2.063

10.  Linear Discriminant Analysis Successfully Predicts Knee Injury Outcome From Biomechanical Variables.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Sydney Kruisselbrink; Aaron J Krych; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2020-07-21       Impact factor: 6.202

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