Literature DB >> 19720376

Verification of predicted specimen-specific natural and implanted patellofemoral kinematics during simulated deep knee bend.

Mark A Baldwin1, Chadd Clary, Lorin P Maletsky, Paul J Rullkoetter.   

Abstract

Verified computational models represent an efficient method for studying the relationship between articular geometry, soft-tissue constraint, and patellofemoral (PF) mechanics. The current study was performed to evaluate an explicit finite element (FE) modeling approach for predicting PF kinematics in the natural and implanted knee. Experimental three-dimensional kinematic data were collected on four healthy cadaver specimens in their natural state and after total knee replacement in the Kansas knee simulator during a simulated deep knee bend activity. Specimen-specific FE models were created from medical images and CAD implant geometry, and included soft-tissue structures representing medial-lateral PF ligaments and the quadriceps tendon. Measured quadriceps loads and prescribed tibiofemoral kinematics were used to predict dynamic kinematics of an isolated PF joint between 10 degrees and 110 degrees femoral flexion. Model sensitivity analyses were performed to determine the effect of rigid or deformable patellar representations and perturbed PF ligament mechanical properties (pre-tension and stiffness) on model predictions and computational efficiency. Predicted PF kinematics from the deformable analyses showed average root mean square (RMS) differences for the natural and implanted states of less than 3.1 degrees and 1.7 mm for all rotations and translations. Kinematic predictions with rigid bodies increased average RMS values slightly to 3.7 degrees and 1.9 mm with a five-fold decrease in computational time. Two-fold increases and decreases in PF ligament initial strain and linear stiffness were found to most adversely affect kinematic predictions for flexion, internal-external tilt and inferior-superior translation in both natural and implanted states. The verified models could be used to further investigate the effects of component alignment or soft-tissue variability on natural and implant PF mechanics.

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Year:  2009        PMID: 19720376     DOI: 10.1016/j.jbiomech.2009.06.028

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


  23 in total

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5.  Statistical modeling to characterize relationships between knee anatomy and kinematics.

Authors:  Lowell M Smoger; Clare K Fitzpatrick; Chadd W Clary; Adam J Cyr; Lorin P Maletsky; Paul J Rullkoetter; Peter J Laz
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7.  Discrete element analysis for characterizing the patellofemoral pressure distribution: model evaluation.

Authors:  John J Elias; Archana Saranathan
Journal:  J Biomech Eng       Date:  2013-08       Impact factor: 2.097

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

Authors:  Azhar A Ali; Sami S Shalhoub; Adam J Cyr; Clare K Fitzpatrick; Lorin P Maletsky; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2015-12-21       Impact factor: 2.712

9.  MRI-based analysis of patellofemoral cartilage contact, thickness, and alignment in extension, and during moderate and deep flexion.

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Journal:  Knee       Date:  2015-07-23       Impact factor: 2.199

10.  Finite element analysis to characterize how varying patellar loading influences pressure applied to cartilage: model evaluation.

Authors:  Kushal S Shah; Archana Saranathan; Bharath Koya; John J Elias
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-05-29       Impact factor: 1.763

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