Literature DB >> 8809626

Validation of a three-dimensional model of the knee.

L Blankevoort1, R Huiskes.   

Abstract

Three-dimensional mathematical models of the tibio-femoral joint require input of the geometry of articulating surfaces and ligament insertions, and the mechanical properties of cartilage and ligaments. This paper describes a validation of a knee model through a direct specimen-related comparison between the knee model and the kinematics of four knee joint specimens from which the geometry data were used as input of the model. The knee model is quasi-static and is based on equilibrium of forces and moments. The stiffness properties of the ligaments and articular cartilage were estimated on the basis of data reported in the literature. The so-called reference strains in the ligament bundles for the joint in extension, were determined by using an optimization procedure, minimizing the difference between the kinematics of the model and the kinematics of experimentally obtained flexion motions with an internally or an externally rotated tibia (+/- 3 Nm load). A reasonable to good agreement between the model and the experimental kinematics could be obtained for internal-external rotation laxity and the coupled translations and varus-valgus rotation. The disparity between model and experiment varied from knee to knee, average deviations ranging from close to zero to 8 degrees internal rotation deviation and from 5 mm posterior to 3 mm anterior position deviation. The average anterior-posterior laxities at both 20 degrees and 90 degrees flexion were within the variations reported in the literature, although for each individual joint with some underestimation or overestimation. It was concluded that the optimization procedure compensated for the lack of menisci and capsular structures by higher prestrains, thereby overestimating the ligament forces. Despite the gross simplifications relative to the complex anatomy of the knee, the present knee model can realistically simulate the passive motion characteristics of the human knee joint.

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Year:  1996        PMID: 8809626     DOI: 10.1016/0021-9290(95)00149-2

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  36 in total

Review 1.  [Musculoskeletal biomechanics of the knee joint. Principles of preoperative planning for osteotomy and joint replacement].

Authors:  M O Heller; G Matziolis; C König; W R Taylor; S Hinterwimmer; H Graichen; H-C Hege; G Bergmann; C Perka; G N Duda
Journal:  Orthopade       Date:  2007-07       Impact factor: 1.087

2.  The increase in posterior tibial slope provides a positive biomechanical effect in posterior-stabilized total knee arthroplasty.

Authors:  Kyoung-Tak Kang; Sae Kwang Kwon; Juhyun Son; Oh-Ryong Kwon; Jun-Sang Lee; Yong-Gon Koh
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2018-04-05       Impact factor: 4.342

3.  Dynamic simulation of tibial tuberosity realignment: model evaluation.

Authors:  Tserenchimed Purevsuren; John J Elias; Kyungsoo Kim; Yoon Hyuk Kim
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-07-15       Impact factor: 1.763

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

Authors:  Ali Kiapour; Ata M Kiapour; Vikas Kaul; Carmen E Quatman; Samuel C Wordeman; Timothy E Hewett; Constantine K Demetropoulos; Vijay K Goel
Journal:  J Biomech Eng       Date:  2014-01       Impact factor: 2.097

5.  Anatomy-mimetic design preserves natural kinematics of knee joint in patient-specific mobile-bearing unicompartmental knee arthroplasty.

Authors:  Yong-Gon Koh; Jin-Ah Lee; Hwa-Yong Lee; Heoung-Jae Chun; Hyo-Jeong Kim; Kyoung-Tak Kang
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-05-23       Impact factor: 4.342

6.  Computational model-based probabilistic analysis of in vivo material properties for ligament stiffness using the laxity test and computed tomography.

Authors:  Kyoung-Tak Kang; Sung-Hwan Kim; Juhyun Son; Young Han Lee; Heoung-Jae Chun
Journal:  J Mater Sci Mater Med       Date:  2016-10-27       Impact factor: 3.896

7.  Estimating patient-specific soft-tissue properties in a TKA knee.

Authors:  Joseph A Ewing; Michelle K Kaufman; Erin E Hutter; Jeffrey F Granger; Matthew D Beal; Stephen J Piazza; Robert A Siston
Journal:  J Orthop Res       Date:  2015-09-08       Impact factor: 3.494

8.  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

9.  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

10.  Anterior cruciate ligament reconstruction and cartilage contact forces--A 3D computational simulation.

Authors:  Lianxin Wang; Lin Lin; Yong Feng; Tiago Lazzaretti Fernandes; Peter Asnis; Ali Hosseini; Guoan Li
Journal:  Clin Biomech (Bristol, Avon)       Date:  2015-08-18       Impact factor: 2.063

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