Effects of eight different ligament property datasets on biomechanics of a lumbar L4-L5 finite element model

Naserkhaki, Sadegh; Arjmand, Navid; Shirazi‐Adl, A.; Farahmand, Farzam; El‐Rich, Marwan

doi:10.1016/j.jbiomech.2017.05.003

Cited by 55 publications

(37 citation statements)

References 39 publications

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“…An attempt to account for physiological validity was recently made by Naserkhaki et al (2018) by comparing the performance of various ligament data sets in recreating experimental results. They found that the choice of ligament characteristics can cause certain variations on the model output, because of the large variation in the individual force-strain relations.…”

Section: Discussionmentioning

confidence: 99%

“…It is widely accepted, based on experiments on isolated ligaments (Chazal et al 1985;Nachemson and Evans 1968;Rissanen 1960;Tkaczuk 1968;Waters and Morris 1973) and functional units (Dumas et al 1987;Myklebust et al 1988;Panjabi et al 1982;Pintar et al 1992), that this force-strain relation consists of a nonlinear toe zone with a seemingly nonlinear-linear transition at higher strains. However, large variations between different data sets (see 4 Discussion) and thus the characteristics lead to unforeseeable variations in the model output as recently shown in Naserkhaki et al (2018). Naturally, the question arises which ligament characteristics should be incorporated in order to account for preferably physiological behavior.…”

Section: Introductionmentioning

confidence: 99%

“…First, we forward simulated the stepwise reduction experiment and compared the results to literature ligament characteristics. Here, we used four of the eight data sets presented in Naserkhaki et al (2018), namely Chazal et al (1985) (single ligament experiments), Shirazi-Adl et al (1986) (literature synopsis from Adams and Hutton 1980;Farfan 1973;Nachemson and Evans 1968;Rissanen 1960;Tkaczuk 1968;Waters and Morris 1973), White and Panjabi (1990) (functional L4-L5 experiments from Panjabi et al 1982) as well as Nolte et al (1990) (ligament characteristics used by Schmidt et al (2007), which had been based on Fig. 4.26 from Pingel (1991), which himself referred to Nolte et al (1990)).…”

Section: Introductionmentioning

confidence: 99%

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Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data

Damm

Rockenfeller

Gruber

2019

Biomech Model Mechanobiol

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Lumbar ligaments play a key role in stabilizing the spine, particularly assisting muscles at wide-range movements. Hence, valid ligament force-strain data are required to generate physiological model predictions. These data have been obtained by experiments on single ligaments or functional units throughout the literature. However, contrary to detailed spine geometries, gained, for instance, from CT data, ligament characteristics are often inattentively transferred to multi-body system (MBS) or finite element models. In this paper, we use an elaborated MBS model of the lumbar spine to demonstrate how individualized ligament characteristics can be obtained by reversely reenacting stepwise reduction experiments, where the range of motion (ROM) was measured. We additionally validated the extracted characteristics with physiological experiments on intradiscal pressure (IDP). Our results on a total of in each case 160 ROM and 49 IDP simulations indicated superiority of our procedure (seven and eight outliers) toward the incorporation of classical literature data (on average 71 and 31 outliers).Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data

Damm

Rockenfeller

Gruber

2019

Biomech Model Mechanobiol

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“…The annulus fibers and ligamentum flavum (LF) were not included in the FE models. Although LF has the role of resisting flexion motion, it is shown that the spinal motion is still preserved after the removal of LF . On the other hand, supra supinous ligament (SSL), the primary ligament for resisting flexion motion, was included in our FE model.…”

Section: Discussionmentioning

confidence: 99%

“…Although LF has the role of resisting flexion motion, it is shown that the spinal motion is still preserved after the removal of LF. 34 On the other hand, supra supinous ligament (SSL), the primary ligament for resisting flexion motion, 35 was included in our FE model. In addition, other studies also used simple disc models without including annulus fibers to analyze biomechanical effects.…”

Section: Discussionmentioning

confidence: 99%

Finite element analysis of a ball‐and‐socket artificial disc design to suppress excessive loading on facet joints: A comparative study with ProDisc

Choi

Shin

Kim

2019

Numer Methods Biomed Eng

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Facet arthrosis at surgical level was identified as major complication after total disc replacement (TDR). One of the reasons for facet arthrosis after TDR has been speculated to be the hypermobility of artificial discs. Accordingly, the artificial disc that can constrain the hypermobility of ball‐and‐socket type artificial discs and reduce loading on facet joints is demanded. The proposed artificial disc, which is named as NewPro, was constructed based on the FDA‐approved ProDisc but contained an interlocking system consisting of additional bars and grooves to control the range of motion (ROM) of lumbar spine in all anatomical planes. The three‐dimensional finite element model of L1 to L5 was developed first, and the biomechanical effects were compared between ProDisc and NewPro. The ROM and facet contact force of NewPro were significantly decreased by 42.7% and 14% in bending and by 45.6% and 34.4% in torsion, respectively, compared with the values of ProDisc, thanks to the interlocking system. In addition, the ROM and facet contact force could be selectively constrained by modifying the location of the bars. The proposed artificial disc with the interlocking system was able to constrain the intersegmental rotation effectively and reduce excessive loading on facet joints, although wear and strength tests would be needed prior to clinical applications.

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Computational modelling of the scoliotic spine: A literature review

Gould¹,

Cristofolini

Davico³

et al. 2021

Numer Methods Biomed Eng

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Scoliosis is a deformity of the spine that in severe cases requires surgical treatment. There is still disagreement among clinicians as to what the aim of such treatment is as well as the optimal surgical technique. Numerical models can aid clinical decision‐making by estimating the outcome of a given surgical intervention. This paper provided some background information on the modelling of the healthy spine and a review of the literature on scoliotic spine models, their validation, and their application. An overview of the methods and techniques used to construct scoliotic finite element and multibody models was given as well as the boundary conditions used in the simulations. The current limitations of the models were discussed as well as how such limitations are addressed in non‐scoliotic spine models. Finally, future directions for the numerical modelling of scoliosis were addressed.

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Effects of eight different ligament property datasets on biomechanics of a lumbar L4-L5 finite element model

Cited by 55 publications

References 39 publications

Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data

Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data

Finite element analysis of a ball‐and‐socket artificial disc design to suppress excessive loading on facet joints: A comparative study with ProDisc

Computational modelling of the scoliotic spine: A literature review

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