Prediction of local proximal tibial subchondral bone structural stiffness using subject-specific finite element modeling: Effect of selected density–modulus relationship

Nazemi, S. Majid; Amini, Morteza; Kontulainen, Saija; Milner, Jaques S.; Holdsworth, David W.; Masri, Bassam A.; Wilson, David R.; Johnston, James D.

doi:10.1016/j.clinbiomech.2015.05.002

Cited by 20 publications

(14 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, we used CT images of study participants to create FE models as opposed to idealized geometries that resemble the knee joint. Fourth, the heterogeneity of bone mechanical properties was considered using a density-modulus equation which has been shown to affect the accuracy of QCT-based FE models 25 , 35 . Fifth, we aligned all knees in similar 3D orientations relative to landmark boundary points and best-fit planes.…”

Section: Discussionmentioning

confidence: 99%

“…and represent accurate bone geometry and material properties, we need to develop subject-specific FE models that can incorporate various bone alterations. Quantitative computed tomography images (QCT) are commonly used to create subject-specific FE models 22 , 25 – 27 . In this method, the geometry of the bony tissue is obtained using segmented QCT images and image-based densities are converted to elastic moduli using published density-modulus relationships.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study

Arjmand

Nazemi

Kontulainen

et al. 2018

Sci Rep

Self Cite

View full text Add to dashboard Cite

Our objective was to identify precise mechanical metrics of the proximal tibia which differentiated OA and normal knees. We developed subject-specific FE models for 14 participants (7 OA, 7 normal) who were imaged three times each for assessing precision (repeatability). We assessed various mechanical metrics (minimum principal and von Mises stress and strain as well as structural stiffness) across the proximal tibia for each subject. In vivo precision of these mechanical metrics was assessed using CV%RMS. We performed parametric and non-parametric statistical analyses and determined Cohen’s d effect sizes to explore differences between OA and normal knees. For all FE-based mechanical metrics, average CV%RMS was less than 6%. Minimum principal stress was, on average, 75% higher in OA versus normal knees while minimum principal strain values did not differ. No difference was observed in structural stiffness. FE modeling could precisely quantify and differentiate mechanical metrics variations in normal and OA knees, in vivo. This study suggests that bone stress patterns may be important for understanding OA pathogenesis at the knee.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study

Arjmand

Nazemi

Kontulainen

et al. 2018

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Such models, however, disregard the intra-specimen spatial distribution of material properties and also the subtle geometric difference between subjects. QCT-FE models of subchondral bone have recently been developed to monitor alterations of local structural stiffness at the subchondral surface non-invasively and subject-specifically (Nazemi et al, 2015(Nazemi et al, , 2017. In such models, the QCT provides information regarding the geometry and density of the imaged bone whereas FE calculates the integral contribution of all factors involved in the structural stiffness sensed at the subchondral surface.…”

Section: Fe Models Of Subchondral Bone Changes In Oamentioning

confidence: 99%

Use of Computational Modeling to Study Joint Degeneration: A Review

Mukherjee

Nazemi

Jonkers

et al. 2020

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

Osteoarthritis (OA), a degenerative joint disease, is the most common chronic condition of the joints, which cannot be prevented effectively. Computational modeling of joint degradation allows to estimate the patient-specific progression of OA, which can aid clinicians to estimate the most suitable time window for surgical intervention in osteoarthritic patients. This paper gives an overview of the different approaches used to model different aspects of joint degeneration, thereby focusing mostly on the knee joint. The paper starts by discussing how OA affects the different components of the joint and how these are accounted for in the models. Subsequently, it discusses the different modeling approaches that can be used to answer questions related to OA etiology, progression and treatment. These models are ordered based on their underlying assumptions and technologies: musculoskeletal models, Finite Element models, (gene) regulatory models, multiscale models and data-driven models (artificial intelligence/machine learning). Finally, it is concluded that in the future, efforts should be made to integrate the different modeling techniques into a more robust computational framework that should not only be efficient to predict OA progression but also easily allow a patient's individualized risk assessment as screening tool for use in clinical practice.

show abstract

“…Medical imaging techniques have often been used to estimate bone patient-specific mechanical properties, see Table 2(7C). CT is the most used technique for assigning patient-specific homogeneous, LE, isotropic properties to sub-domains of a mesh, see Table 2(1A), [38,97,98,111,112,118,119,[269][270][271][272][273].…”

Section: Patient-specific Mechanical Propertiesmentioning

confidence: 99%

“…The process of assigning homogeneous mechanical properties 10B 1 , 10B 2 from medical images onto sub-domains of a 3D-mesh 9A 5 of an inhomogeneous computational bone model, see Definition 2, is labeled material mapping [75,98,118,119]. The strategy used to perform a material mapping can have a great impact on the assignment of bone CLE-properties [118,119].…”

Section: Remark 22 (Bone Mechanical Properties From Continuum Micromementioning

confidence: 99%

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

et al. 2019

View full text Add to dashboard Cite

This paper provides a starting point for researchers and practitioners from biology, medicine, physics and engineering who can benefit from an up-to-date literature survey on patient-specific bone fracture modelling, simulation and risk analysis. This survey hints at a framework for devising realistic patient-specific bone fracture simulations. This paper has 18 sections: Section 1 presents the main interested parties; Section 2 explains the organzation of the text; Section 3 motivates further work on patient-specific bone fracture simulation; Section 4 motivates this survey; Section 5 concerns the collection of bibliographical references; Section 6 motivates the physico-mathematical approach to bone fracture; Section 7 presents the modelling of bone as a continuum; Section 8 categorizes the surveyed literature into a continuum mechanics framework; Section 9 concerns the computational modelling of bone geometry; Section 10 concerns the estimation of bone mechanical properties; Section 11 concerns the selection of boundary conditions representative of bone trauma; Section 12 concerns bone fracture simulation; Section 13 presents the multiscale structure of bone; Section 14 concerns the multiscale mathematical modelling of bone; Section 15 concerns the experimental validation of bone fracture simulations; Section 16 concerns bone fracture risk assessment. Lastly, glossaries for symbols, acronyms, and physico-mathematical terms are provided.

show abstract

Prediction of local proximal tibial subchondral bone structural stiffness using subject-specific finite element modeling: Effect of selected density–modulus relationship

Cited by 20 publications

References 50 publications

Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study

Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study

Use of Computational Modeling to Study Joint Degeneration: A Review

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

Contact Info

Product

Resources

About