A Review on Finite Element Modeling and Simulation of the Anterior Cruciate Ligament Reconstruction

Benos, Lefteris; Stanev, Dimitar; Spyrou, Leonidas A.; Tsaopoulos, Dimitrios

doi:10.3389/fbioe.2020.00967

Cited by 40 publications

(35 citation statements)

References 113 publications

(293 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Figure 1, the workflow of the proposed semi-automatic pipeline is depicted. The FE construction procedure includes reconstructing the knee bone surfaces through image segmentation techniques on patient-specific pre-operational Computed Tomography (CT) data (Benos et al, 2020;Stanev et al, 2020). Many studies, like Woiczinski et al (2016), Li et al (2017), Moewis et al (2018), Nikolopoulos et al (2020), Su et al (2020), and Xu et al (2020) that aim at developing patient-specific FE models, adopt this method.…”

Section: Methodsmentioning

confidence: 99%

“…As suggested in a lot of studies (Kiapour et al, 2014;Marra et al, 2015;Woiczinski et al, 2016;Li et al, 2017;Moewis et al, 2018;Benos et al, 2020;Nikolopoulos et al, 2020;Stanev et al, 2020;Su et al, 2020;Xu et al, 2020), the best way to obtain a patient-specific 3D representation of the knee joint bones is to segment them from MRI or CT image data obtained from the subject under examination. For doing so, a segmentation method was performed with 3D Slicer (Kikinis et al, 2014) to extract the geometries of the knee bones before TKA, using subject-specific pre-operational CT scans obtained from the 6th GCC data set.…”

Section: Segmentation and Alignment Of Implant-bone Geometriesmentioning

confidence: 99%

“…In the TKR model, the knee joint bones were modeled as rigid bodies. In natural knee joint (without an implant) studies, it is typically assumed that bones are rigid to study the mechanics of soft tissues (Madeti et al, 2015;Benos et al, 2020). That is because bones have a much higher Young's modulus value than the modulus of elasticity of the soft tissues, and thus the deformation of bones is minimum to zero compared to one of the cartilages.…”

Section: Implant Parts and Materials Propertiesmentioning

confidence: 99%

“…Other scientific articles on FEA focus on developing custom-made knee implants (Sun et al, 2015;Li et al, 2017) or conducting "what if " studies about implant positioning during TKA (Mou et al, 2018). Moreover, studies, such as Stanev et al (2016Stanev et al ( , 2020 and Benos et al (2020) that use musculoskeletal and finite element (FE) models of the knee to predict surgery's effect in a pre-operative manner might be an interesting extension of this work for TKR. The methodologies presented in Benos et al (2020) and Stanev et al (2020) focus on finite element simulations for evaluating anterior cruciate ligament (ACL) reconstruction surgeries, thus, they are engaged with FEM for non-implanted knees.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, studies, such as Stanev et al (2016Stanev et al ( , 2020 and Benos et al (2020) that use musculoskeletal and finite element (FE) models of the knee to predict surgery's effect in a pre-operative manner might be an interesting extension of this work for TKR. The methodologies presented in Benos et al (2020) and Stanev et al (2020) focus on finite element simulations for evaluating anterior cruciate ligament (ACL) reconstruction surgeries, thus, they are engaged with FEM for non-implanted knees. These procedures were enriched and used to develop FEMs representing the knee joint after a TKA operation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Total Knee Replacement: Subject-Specific Modeling, Finite Element Analysis, and Evaluation of Dynamic Activities

Loi

Stanev

2021

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

This study presents a semi-automatic framework to create subject-specific total knee replacement finite element models, which can be used to analyze locomotion patterns and evaluate knee dynamics. In recent years, much scientific attention was attracted to pre-clinical optimization of customized total knee replacement operations through computational modeling to minimize post-operational adverse effects. However, the time-consuming and laborious process of developing a subject-specific finite element model poses an obstacle to the latter. One of this work's main goals is to automate the finite element model development process, which speeds up the proposed framework and makes it viable for practical applications. This pipeline's reliability was ratified by developing and validating a subject-specific total knee replacement model based on the 6th SimTK Grand Challenge data set. The model was validated by analyzing contact pressures on the tibial insert in relation to the patient's gait and analysis of tibial contact forces, which were found to be in accordance with the ones provided by the Grand Challenge data set. Subsequently, a sensitivity analysis was carried out to assess the influence of modeling choices on tibial insert's contact pressures and determine possible uncertainties on the models produced by the framework. Parameters, such as the position of ligament origin points, ligament stiffness, reference strain, and implant-bone alignment were used for the sensitivity study. Notably, it was found that changes in the alignment of the femoral component in reference to the knee bones significantly affect the load distribution at the tibiofemoral joint, with an increase of 206.48% to be observed at contact pressures during 5° internal rotation. Overall, the models produced by this pipeline can be further used to optimize and personalize surgery by evaluating the best surgical parameters in a simulated manner before the actual surgery.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Segmentation and Alignment Of Implant-bone Geometriesmentioning

confidence: 99%

Section: Implant Parts and Materials Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Total Knee Replacement: Subject-Specific Modeling, Finite Element Analysis, and Evaluation of Dynamic Activities

Loi

Stanev

2021

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

show abstract

Biomechanics of the Anterior Cruciate Ligament (ACL)

LAURENT

2024

Mechanics of Living Tissues

View full text Add to dashboard Cite

Quantitative Assessment of the Structural Effects in Foot Soft Tissues Depending on the Mechanical Contact Between Joints

Mancera‐Campos,

Vidal‐Lesso,

Bayod López

2024

Numer Methods Biomed Eng

View full text Add to dashboard Cite

Developing realistic numerical foot models is essential to accurately predict the structural behavior of its bones and soft tissues. The representation of the foot joints is a crucial point that must be considered to recreate these models' natural behavior. Numerically, different types of contact represent these interactions, two being the most common: one that allows movement between bones and one that restricts it. However, the structural behavior of the model is affected depending on which type of contact is chosen to simulate the interaction. Therefore, this paper aims to develop a numerical foot model to analyze and quantify both types of mechanical contact and determine their effect on soft tissues by evaluating and comparing different structural parameters. The results show that the TA, CPF, LPF, EDB, and FDBT soft tissues reach the maximum stress and strain levels like the highest displacement values. The differences between models in these tissues reach percentage values of up to 74.69% for the principal stresses and up to 68.42% for the principal strains. Significant differences were also found in the displacements obtained in the anteroposterior axes (X) and the vertical or the load axis (Y) of up to 42.03% and 37.47%, respectively. These results allow us to quantify the impact that the choice of the contact type of the foot joints has over its soft tissues and suggest that the way of simulating the movement between bones contributes significantly to the quantitative variation of the structural parameters, affecting thus, the predictions made in the several studies performed with foot numerical models; a contact type that reproduces the natural joint movement is the better option based on this work results.

show abstract

A Review on Finite Element Modeling and Simulation of the Anterior Cruciate Ligament Reconstruction

Cited by 40 publications

References 113 publications

Total Knee Replacement: Subject-Specific Modeling, Finite Element Analysis, and Evaluation of Dynamic Activities

Total Knee Replacement: Subject-Specific Modeling, Finite Element Analysis, and Evaluation of Dynamic Activities

Biomechanics of the Anterior Cruciate Ligament (ACL)

Quantitative Assessment of the Structural Effects in Foot Soft Tissues Depending on the Mechanical Contact Between Joints

Contact Info

Product

Resources

About