Online citations, reference lists, and bibliographies.

Prediction Of Local Proximal Tibial Subchondral Bone Structural Stiffness Using Subject-specific Finite Element Modeling: Effect Of Selected Density-modulus Relationship.

S. Nazemi, Morteza Amini, S. Kontulainen, J. Milner, D. Holdsworth, B. Masri, D. Wilson, J. Johnston
Published 2015 · Medicine

Cite This
Download PDF
Analyze on Scholarcy
BACKGROUND Quantitative computed tomography based subject-specific finite element modeling has potential to clarify the role of subchondral bone alterations in knee osteoarthritis initiation, progression, and pain initiation. Calculation of bone elastic moduli from image data is a basic step when constructing finite element models. However, different relationships between elastic moduli and imaged density (known as density-modulus relationships) have been reported in the literature. The objective of this study was to apply seven different trabecular-specific and two cortical-specific density-modulus relationships from the literature to finite element models of proximal tibia subchondral bone, and identify the relationship(s) that best predicted experimentally measured local subchondral structural stiffness with highest explained variance and least error. METHODS Thirteen proximal tibial compartments were imaged via quantitative computed tomography. Imaged bone mineral density was converted to elastic moduli using published density-modulus relationships and mapped to corresponding finite element models. Proximal tibial structural stiffness values were compared to experimentally measured stiffness values from in-situ macro-indentation testing directly on the subchondral bone surface (47 indentation points). FINDINGS Regression lines between experimentally measured and finite element calculated stiffness had R(2) values ranging from 0.56 to 0.77. Normalized root mean squared error varied from 16.6% to 337.6%. INTERPRETATION Of the 21 evaluated density-modulus relationships in this study, Goulet combined with Snyder and Schneider or Rho appeared most appropriate for finite element modeling of local subchondral bone structural stiffness. Though, further studies are needed to optimize density-modulus relationships and improve finite element estimates of local subchondral bone structural stiffness.
This paper references
Predic - tion of strength and strain of the proximal femur by a CT - based fi nite element meth
M. Bessho
Finite element studies of some juxtarticular stress changes due to localized subchondral stiffening.
T. Brown (1984)
An investigation to determine if a single validated density-elasticity relationship can be used for subject specific finite element analyses of human long bones.
Sebastian Eberle (2013)
Letter: Malignant hyperthermia: a human and procine stress syndrome?
D. Lister (1975)
Mechanical properties of trabecular bone. Dependency on strain rate.
F. Linde (1991)
A modified method for assigning material properties to FE models of bones.
B. Helgason (2008)
Patient-specific finite element analysis of the human femur--a double-blinded biomechanical validation.
Nir Trabelsi (2011)
The effect of specimen geometry on the mechanical behaviour of trabecular bone specimens.
F. Linde (1992)
Analysis of strength and failure pattern of human proximal femur using quantitative computed tomography (QCT)-based finite element method.
Majid Mirzaei (2014)
Role of Subchondral Bone in the Initiation and Progression of Cartilage Damage
E. Radin (1986)
A Novel 3D Microstructural Model for Trabecular Bone: II. The Relationship Between Fabric and the Yield Surface.
P. Zysset (1999)
Mechanical testing of bone and the bone-implant interface
Y. An (1999)
An improved method for the automatic mapping of computed tomography numbers onto finite element models.
F. Taddei (2004)
An ultrasonic method for measuring the elastic properties of human tibial cortical and cancellous bone.
J. Rho (1996)
Material and functional properties of articular cartilage and patellofemoral contact mechanics in an experimental model of osteoarthritis.
W. Herzog (1998)
Subchondral cysts create increased intra-osseous stress in early knee OA: A finite element analysis using simulated lesions.
D. McErlain (2011)
Comparison of geometry-based and CT voxel-based finite element modelling and experimental validation.
M. Lengsfeld (1998)
Stiffness of trabecular bone of the tibial plateau in patients with rheumatoid arthritis of the knee.
J. Yang (1997)
Torsional stiffness and strength of the proximal tibia are better predicted by finite element models than DXA or QCT.
W. B. Edwards (2013)
Ct-based finite element models can be used to estimate experimentally measured failure loads in the proximal femur.
Janne E. M. Koivumäki (2012)
Quanti fi cation of trabecular spatial orientation from low - resolution images
L. Lenaerts (2014)
Correlations between orthogonal mechanical properties and density of trabecular bone: use of different densitometric measures.
J. Keyak (1994)
Relations of mechanical properties to density and CT numbers in human bone.
J. Rho (1995)
A three-dimensional finite element analysis of the upper tibia.
R. Little (1986)
Young's modulus, density and material properties in cancellous bone over a large density range
R. Hodgskinson (1992)
Prediction of femoral fracture load using automated finite element modeling.
J. Keyak (1997)
Stiffness of bone underlying the tibial plateaus of osteoarthritic and normal knees.
J. Finlay (1989)
Subject-specific finite element models of long bones: An in vitro evaluation of the overall accuracy.
F. Taddei (2006)
Computed tomography topographic mapping of subchondral density (CT-TOMASD) in osteoarthritic and normal knees: methodological development and preliminary findings.
James D Johnston (2009)
A comparative study on different methods of automatic mesh generation of human femurs.
M. Viceconti (1998)
Role of mechanical factors in pathogenesis of primary osteoarthritis.
E. Radin (1972)
Patient-specific finite-element analyses of the proximal femur with orthotropic material properties validated by experiments.
Nir Trabelsi (2011)
Quantification of trabecular spatial orientation from low-resolution images
Laurent Lenaerts (2015)
Experimental validation of a finite element model of a human cadaveric tibia.
H. Gray (2008)
Mathematical relationships between bone density and mechanical properties: a literature review.
B. Helgason (2008)
Proximal femur bone strength estimated by a computationally fast finite element analysis in a sideways fall configuration.
K. Nishiyama (2013)
Trabecular bone modulus-density relationships depend on anatomic site.
E. Morgan (2003)
Quantifying anisotropy of trabecular bone from gray-level images.
Z. Tabor (2007)
Distribution of bone strength in the proximal tibia.
Y. Harada (1988)
Subject-specific finite element models can accurately predict strain levels in long bones.
E. Schileo (2007)
Predicting the compressive mechanical behavior of bone.
T. Keller (1994)
The relationship between the structural and orthogonal compressive properties of trabecular bone.
R. Goulet (1994)
Predicting subchondral bone stiffness using a depth-specific CT topographic mapping technique in normal and osteoarthritic proximal tibiae.
J. Johnston (2011)
The effect of the density-modulus relationship selected to apply material properties in a finite element model of long bone.
R. Austman (2008)
Estimation of mechanical properties of cortical bone by computed tomography.
S. Snyder (1991)
Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations.
Z. Yosibash (2007)
The compressive behavior of bone as a two-phase porous structure.
D. Carter (1977)
Osteonecrosis of the Patella: Diagnostic Imaging Perspective
S. Theodorou (2005)
Finite element prediction of surface strain and fracture strength at the distal radius.
W. B. Edwards (2012)
Prediction of structural failure of tibial bone models under physiological loads: effect of CT density-modulus relationships.
Mahmut Tuncer (2014)
Mechanical properties of trabecular bone
F. Linde (1991)
Prediction of strength and strain of the proximal femur by a CT-based finite element method.
M. Bessho (2007)
Improved prediction of proximal femoral fracture load using nonlinear finite element models.
J. Keyak (2001)
Compressive mechanical properties of human cancellous bone after gamma irradiation.
M. J. Anderson (1992)
Morphology-mechanical property relations in trabecular bone of the osteoarthritic proximal tibia.
P. Zysset (1994)

This paper is referenced by
Quantifying the regional variations in the mechanical properties of cancellous bone of the tibia using indentation testing and quantitative computed tomographic imaging
Vivega Vijayakumar (2016)
An exclusion approach for addressing partial volume artifacts with quantititive computed tomography-based finite element modeling of the proximal tibia.
S. Mehrdad Hosseini Kalajahi (2019)
Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study
H. Arjmand (2018)
Experimental validation of finite element predicted bone strain in the human metatarsal.
Anita Fung (2017)
Quantitative Computed Tomography Based Finite Element Modeling of Normal and Osteoarthritic Knees: In vivo Precision and Preliminary Comparisons
Hanieh Arjmand (2016)
Predicting Distal Radius Failure Load during a Fall using Mechanical Testing and Peripheral Quantitative Computed Tomography
M McDonald (2016)
Finite Element Analysis of Bone and Experimental Validation
Francisco P.A. Almeida (2020)
Separate modeling of cortical and trabecular bone offers little improvement in FE predictions of local structural stiffness at the proximal tibia
S Mehrdad Hosseini Kalajahi (2019)
Accounting for spatial variation of trabecular anisotropy with subject-specific finite element modeling moderately improves predictions of local subchondral bone stiffness at the proximal tibia.
Sayed Majid Nazemi (2017)
Prediction of anisotropic mechanical properties for lattice structures
Maxwell J. Munford (2020)
Use of Computational Modeling to Study Joint Degeneration: A Review
S. Mukherjee (2020)
Utility of cement injection to stabilize split‐depression tibial plateau fracture by minimally invasive methods: A finite element analysis
Dalila Belaid (2018)
Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey
Amadeus C S de Alcântara (2019)
The Influence of Bone Modulus-density Relationships on Two-dimensional Human Proximal Femur Remodeling Results
Wen-ting Yang (2018)
Optimizing finite element predictions of local subchondral bone structural stiffness using neural network‐derived density‐modulus relationships for proximal tibial subchondral cortical and trabecular bone
Majid Nazemi (2017)
Quantitative Computed Tomography (QCT) derived Bone Mineral Density (BMD) in finite element studies: a review of the literature
N. Knowles (2016)
Semantic Scholar Logo Some data provided by SemanticScholar