Literature DB >> 33264730

Combining advanced computational and imaging techniques as a quantitative tool to estimate patellofemoral joint stress during downhill gait: A feasibility study.

Jonathan A Gustafson1, John J Elias2, G Kelley Fitzgerald3, Scott Tashman4, Richard E Debski5, Shawn Farrokhi6.   

Abstract

BACKGROUND: The onset and progression of patellofemoral osteoarthritis (OA) has been linked to alterations in cartilage stress-a potential precursor to pain and subsequent cartilage degradation. A lack in quantitative tools for objectively evaluating patellofemoral joint contact stress limits our understanding of pathomechanics associated with OA. RESEARCH QUESTION: Could computational modeling and biplane fluoroscopy techniques be used to discriminate in-vivo, subject-specific patellofemoral stress profiles in individuals with and without patellofemoral OA?
METHODS: The current study employed a discrete element modeling framework driven by in-vivo, subject-specific kinematics during downhill gait to discriminate unique patellofemoral stress profiles in individuals with patellofemoral OA (n = 5) as compared to older individuals without OA (n = 6). All participants underwent biplane fluoroscopy kinematic tracking while walking on a declined instrumented treadmill. Subject-specific kinematics were combined with high resolution geometrical models to estimate patellofemoral joint contact stress during 0%, 25 %, 50 %, 75 % and 100 % of the loading response phase of downhill gait.
RESULTS: Individuals with patellofemoral OA demonstrated earlier increases in patellofemoral stress in the lateral patellofemoral compartment during loading response as compared to OA-free controls (P = 0.021). Overall, both groups exhibited increased patellofemoral contact stress early in the loading response phase of gait as compared to the end of loading response. Results from this study show increased stress profiles in individuals with patellofemoral OA, indicating increasing joint loading in early phases of gait. SIGNIFICANCE: This modeling framework-combining arthrokinematics with discrete element models-can objectively estimate changes in patellofemoral joint stress, with potential applications to evaluate outcomes from various treatment programs, including surgical and non-surgical rehabilitation treatments.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Discrete element; Joint contact; Modeling; Patellofemoral

Mesh:

Year:  2020        PMID: 33264730      PMCID: PMC7902369          DOI: 10.1016/j.gaitpost.2020.11.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  48 in total

1.  Computationally efficient finite element evaluation of natural patellofemoral mechanics.

Authors:  Clare K Fitzpatrick; Mark A Baldwin; Paul J Rullkoetter
Journal:  J Biomech Eng       Date:  2010-12       Impact factor: 2.097

2.  Validation of three-dimensional model-based tibio-femoral tracking during running.

Authors:  William Anderst; Roger Zauel; Jennifer Bishop; Erinn Demps; Scott Tashman
Journal:  Med Eng Phys       Date:  2008-04-23       Impact factor: 2.242

3.  In vivo patellofemoral contact mechanics during active extension using a novel dynamic MRI-based methodology.

Authors:  B S Borotikar; F T Sheehan
Journal:  Osteoarthritis Cartilage       Date:  2013-09-03       Impact factor: 6.576

4.  Importance of Patella, Quadriceps Forces, and Depthwise Cartilage Structure on Knee Joint Motion and Cartilage Response During Gait.

Authors:  K S Halonen; M E Mononen; J S Jurvelin; J Töyräs; A Klodowski; J-P Kulmala; R K Korhonen
Journal:  J Biomech Eng       Date:  2016-07-01       Impact factor: 2.097

5.  Individuals with patellofemoral pain exhibit greater patellofemoral joint stress: a finite element analysis study.

Authors:  S Farrokhi; J H Keyak; C M Powers
Journal:  Osteoarthritis Cartilage       Date:  2010-12-21       Impact factor: 6.576

6.  Cartilage viability after repetitive loading: a preliminary report.

Authors:  E Lucchinetti; C S Adams; W E Horton; P A Torzilli
Journal:  Osteoarthritis Cartilage       Date:  2002-01       Impact factor: 6.576

7.  Joint contact mechanics in the early stages of osteoarthritis.

Authors:  J Z Wu; W Herzog; M Epstein
Journal:  Med Eng Phys       Date:  2000-01       Impact factor: 2.242

8.  Determinants of disability in osteoarthritis of the knee.

Authors:  T E McAlindon; C Cooper; J R Kirwan; P A Dieppe
Journal:  Ann Rheum Dis       Date:  1993-04       Impact factor: 19.103

9.  Using magnetic resonance imaging to determine the compartmental prevalence of knee joint structural damage.

Authors:  J J Stefanik; J Niu; K D Gross; F W Roemer; A Guermazi; D T Felson
Journal:  Osteoarthritis Cartilage       Date:  2013-02-18       Impact factor: 6.576

10.  Evaluation of a computational model used to predict the patellofemoral contact pressure distribution.

Authors:  John J Elias; David R Wilson; Robert Adamson; Andrew J Cosgarea
Journal:  J Biomech       Date:  2004-03       Impact factor: 2.712

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  1 in total

Review 1.  Future Directions in Patellofemoral Imaging and 3D Modeling.

Authors:  Navya Dandu; Derrick M Knapik; Nicholas A Trasolini; Athan G Zavras; Adam B Yanke
Journal:  Curr Rev Musculoskelet Med       Date:  2022-04-26
  1 in total

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