Literature DB >> 26742720

Validation of predicted patellofemoral mechanics in a finite element model of the healthy and cruciate-deficient knee.

Azhar A Ali1, Sami S Shalhoub2, Adam J Cyr3, Clare K Fitzpatrick1, Lorin P Maletsky2, Paul J Rullkoetter1, Kevin B Shelburne4.   

Abstract

Healthy patellofemoral (PF) joint mechanics are critical to optimal function of the knee joint. Patellar maltracking may lead to large joint reaction loads and high stresses on the articular cartilage, increasing the risk of cartilage wear and the onset of osteoarthritis. While the mechanical sources of PF joint dysfunction are not well understood, links have been established between PF tracking and abnormal kinematics of the tibiofemoral (TF) joint, specifically following cruciate ligament injury and repair. The objective of this study was to create a validated finite element (FE) representation of the PF joint in order to predict PF kinematics and quadriceps force across healthy and pathological specimens. Measurements from a series of dynamic in-vitro cadaveric experiments were used to develop finite element models of the knee for three specimens. Specimens were loaded under intact, ACL-resected and both ACL and PCL-resected conditions. Finite element models of each specimen were constructed and calibrated to the outputs of the intact knee condition, and subsequently used to predict PF kinematics, contact mechanics, quadriceps force, patellar tendon moment arm and patellar tendon angle of the cruciate resected conditions. Model results for the intact and cruciate resected trials successfully matched experimental kinematics (avg. RMSE 4.0°, 3.1mm) and peak quadriceps forces (avg. difference 5.6%). Cruciate resections demonstrated either increased patellar tendon loads or increased joint reaction forces. The current study advances the standard for evaluation of PF mechanics through direct validation of cruciate-resected conditions including specimen-specific representations of PF anatomy.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cruciate deficient; Finite element; Knee; Patellofemoral

Mesh:

Year:  2015        PMID: 26742720      PMCID: PMC4761469          DOI: 10.1016/j.jbiomech.2015.12.020

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


  44 in total

1.  Q-angle influences tibiofemoral and patellofemoral kinematics.

Authors:  Y Mizuno; M Kumagai; S M Mattessich; J J Elias; N Ramrattan; A J Cosgarea; E Y Chao
Journal:  J Orthop Res       Date:  2001-09       Impact factor: 3.494

2.  Dynamic finite element knee simulation for evaluation of knee replacement mechanics.

Authors:  Mark A Baldwin; Chadd W Clary; Clare K Fitzpatrick; James S Deacy; Lorin P Maletsky; Paul J Rullkoetter
Journal:  J Biomech       Date:  2011-12-30       Impact factor: 2.712

3.  Experimental determination of forces transmitted through the patello-femoral joint.

Authors:  H U Buff; L C Jones; D S Hungerford
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

4.  A model of articular cruciate ligament reconstructive surgery: a validation construct and computational insights.

Authors:  Shahab Salehghaffari; Yasin Y Dhaher
Journal:  J Biomech       Date:  2014-03-19       Impact factor: 2.712

5.  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

Review 6.  Diagnosis and treatment of patients with patellofemoral pain.

Authors:  John P Fulkerson
Journal:  Am J Sports Med       Date:  2002 May-Jun       Impact factor: 6.202

7.  Computer simulations of patellofemoral joint surgery. Patient-specific models for tuberosity transfer.

Authors:  Zohara A Cohen; Jack H Henry; Denise M McCarthy; Van C Mow; Gerard A Ateshian
Journal:  Am J Sports Med       Date:  2003 Jan-Feb       Impact factor: 6.202

8.  Comparison of clinical and dynamic knee function in patients with anterior cruciate ligament deficiency.

Authors:  Rohita R Patel; Debra E Hurwitz; Charles A Bush-Joseph; Bernard R Bach; Thomas P Andriacchi
Journal:  Am J Sports Med       Date:  2003 Jan-Feb       Impact factor: 6.202

9.  Variation in patellofemoral kinematics due to changes in quadriceps loading configuration during in vitro testing.

Authors:  Sami Shalhoub; Lorin P Maletsky
Journal:  J Biomech       Date:  2013-10-12       Impact factor: 2.712

Review 10.  Patellofemoral malalignment: looking beyond the viewbox.

Authors:  William R Post; Robert Teitge; Andrew Amis
Journal:  Clin Sports Med       Date:  2002-07       Impact factor: 2.182

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  16 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

2.  The interaction of muscle moment arm, knee laxity, and torque in a multi-scale musculoskeletal model of the lower limb.

Authors:  Donald R Hume; Alessandro Navacchia; Azhar A Ali; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-06-15       Impact factor: 2.712

3.  A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb.

Authors:  Alessandro Navacchia; Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-12-28       Impact factor: 2.712

4.  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

5.  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

6.  Combined measurement and modeling of specimen-specific knee mechanics for healthy and ACL-deficient conditions.

Authors:  Azhar A Ali; Michael D Harris; Sami Shalhoub; Lorin P Maletsky; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2017-04-20       Impact factor: 2.712

7.  ReadySim: A computational framework for building explicit finite element musculoskeletal simulations directly from motion laboratory data.

Authors:  Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  Int J Numer Method Biomed Eng       Date:  2020-09-01       Impact factor: 2.747

8.  In vivo comparison of medialized dome and anatomic patellofemoral geometries using subject-specific computational modeling.

Authors:  Azhar A Ali; Erin M Mannen; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Orthop Res       Date:  2018-03-06       Impact factor: 3.494

9.  Prediction of patellofemoral joint kinematics and contact through co-simulation of rigid body dynamics and nonlinear finite element analysis.

Authors:  Jacobus H Müller; Swithin Razu; Ahmet Erdemir; Trent M Guess
Journal:  Comput Methods Biomech Biomed Engin       Date:  2020-05-07       Impact factor: 1.763

10.  Patellofemoral kinematics in healthy older adults during gait activities.

Authors:  Vasiliki Kefala; Azhar A Ali; Erin M Mannen; Kevin B Shelburne
Journal:  Hum Mov Sci       Date:  2020-12-27       Impact factor: 2.161

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