Literature DB >> 17505324

Computational modeling: an alternative approach for investigating patellofemoral mechanics.

John J Elias1, Andrew J Cosgarea.   

Abstract

Computational modeling is commonly used in all engineering disciplines to represent complex systems. A computational model of the patellofemoral joint is a graphical representation of joint anatomy that can be manipulated to simulate knee function. Current models are typically reconstructed from magnetic resonance imaging scans of knees. Force vectors are applied to the patella to represent the quadriceps muscles, while the patella tendon is modeled with force vectors or deformable elements. Although the femur, tibia, and patella are typically modeled as rigid structures, the cartilage is represented with springs or modeled using finite element analysis. Computational models can be created to represent individual patients or general pathologic conditions. The quadriceps muscles and patella tendon can be manipulated to simulate patellofemoral pathology or surgical or nonsurgical treatment methods. The models can be used to characterize patellofemoral loading during knee flexion and characterize the distribution of force and pressure within the patellofemoral joint.

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Year:  2007        PMID: 17505324     DOI: 10.1097/JSA.0b013e31804bbe4d

Source DB:  PubMed          Journal:  Sports Med Arthrosc Rev        ISSN: 1062-8592            Impact factor:   1.985


  14 in total

1.  Dynamic in vivo quadriceps lines-of-action.

Authors:  Nicole A Wilson; Frances T Sheehan
Journal:  J Biomech       Date:  2010-05-10       Impact factor: 2.712

Review 2.  Multiscale mechanics of articular cartilage: potentials and challenges of coupling musculoskeletal, joint, and microscale computational models.

Authors:  J P Halloran; S Sibole; C C van Donkelaar; M C van Turnhout; C W J Oomens; J A Weiss; F Guilak; A Erdemir
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

3.  Three-dimensional fibril-reinforced finite element model of articular cartilage.

Authors:  L P Li; J T M Cheung; W Herzog
Journal:  Med Biol Eng Comput       Date:  2009-03-06       Impact factor: 2.602

4.  Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement.

Authors:  Colin R Smith; Kwang Won Choi; Dan Negrut; Darryl G Thelen
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2016-05-13

5.  The effect of tibial tuberosity realignment procedures on the patellofemoral pressure distribution.

Authors:  Archana Saranathan; Marcus S Kirkpatrick; Saandeep Mani; Laura G Smith; Andrew J Cosgarea; Juay Seng Tan; John J Elias
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-12-02       Impact factor: 4.342

6.  Implementation of discrete element analysis for subject-specific, population-wide investigations of habitual contact stress exposure.

Authors:  Donald D Anderson; Krishna S Iyer; Neil A Segal; John A Lynch; Thomas D Brown
Journal:  J Appl Biomech       Date:  2010-05       Impact factor: 1.833

7.  Improving vastus medialis obliquus function reduces pressure applied to lateral patellofemoral cartilage.

Authors:  John J Elias; Srianjana Kilambi; Derek R Goerke; Andrew J Cosgarea
Journal:  J Orthop Res       Date:  2009-05       Impact factor: 3.494

8.  Baseline articular contact stress levels predict incident symptomatic knee osteoarthritis development in the MOST cohort.

Authors:  Neil A Segal; Donald D Anderson; Krishna S Iyer; Jennifer Baker; James C Torner; John A Lynch; David T Felson; Cora E Lewis; Thomas D Brown
Journal:  J Orthop Res       Date:  2009-12       Impact factor: 3.494

9.  Biphasic Analysis of Cartilage Stresses in the Patellofemoral Joint.

Authors:  Brian Jones; Clark T Hung; Gerard Ateshian
Journal:  J Knee Surg       Date:  2015-12-07       Impact factor: 2.757

10.  The effective quadriceps and patellar tendon moment arms relative to the tibiofemoral finite helical axis.

Authors:  Hyun Soo Im; Oren Goltzer; Frances T Sheehan
Journal:  J Biomech       Date:  2015-04-15       Impact factor: 2.712

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