Literature DB >> 24895516

Computational Framework for Determining Patient-Specific Total Knee Arthroplasty Loading.

Hannah J Lundberg, Markus A Wimmer1.   

Abstract

The purpose of this work is to describe a computational framework for predicting total knee arthroplasty loads which are necessary for accurate preclinical testing of implant designs. Inputs required include patient knee joint kinematics, and implant type, size, and physiological alignment. Computational models used in the framework include the calculation of knee joint kinematics and kinetics, prediction of the contact path, a model to determine muscle forces, and a force model to obtain parametric solutions for implant forces. The resulting knee implant forces have been validated in two studies, and in both the model accurately predicted differences in knee joint loading. To date, implant contact forces have been predicted for 35 patients with four different implant types. Forces have been calculated for walking, chair, and stair activities.

Entities:  

Year:  2013        PMID: 24895516      PMCID: PMC4023849          DOI: 10.1115/1.4025765

Source DB:  PubMed          Journal:  J Med Device        ISSN: 1932-6181            Impact factor:   0.582


  7 in total

1.  Direct comparison of measured and calculated total knee replacement force envelopes during walking in the presence of normal and abnormal gait patterns.

Authors:  Hannah J Lundberg; Kharma C Foucher; Thomas P Andriacchi; Markus A Wimmer
Journal:  J Biomech       Date:  2012-01-28       Impact factor: 2.712

2.  Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030.

Authors:  Steven Kurtz; Kevin Ong; Edmund Lau; Fionna Mowat; Michael Halpern
Journal:  J Bone Joint Surg Am       Date:  2007-04       Impact factor: 5.284

3.  Comparison of ISO standard and TKR patient axial force profiles during the stance phase of gait.

Authors:  Hannah J Lundberg; Valentina Ngai; Markus A Wimmer
Journal:  Proc Inst Mech Eng H       Date:  2012-03       Impact factor: 1.617

4.  Total knee arthroplasty on the rise in younger patients: are we sure that past performance will guarantee future success?

Authors:  Elena Losina; Jeffrey N Katz
Journal:  Arthritis Rheum       Date:  2012-02

5.  Fine tuning total knee replacement contact force prediction algorithms using blinded model validation.

Authors:  Hannah J Lundberg; Christopher Knowlton; Markus A Wimmer
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

6.  Changing demographics of patients with total joint replacement.

Authors:  Roy D Crowninshield; Aaron G Rosenberg; Scott M Sporer
Journal:  Clin Orthop Relat Res       Date:  2006-02       Impact factor: 4.176

7.  A parametric approach to numerical modeling of TKR contact forces.

Authors:  Hannah J Lundberg; Kharma C Foucher; Markus A Wimmer
Journal:  J Biomech       Date:  2009-01-19       Impact factor: 2.712

  7 in total

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