Online citations, reference lists, and bibliographies.
← Back to Search

The Interaction Of Microstructure And Volume Fraction In Predicting Failure In Cancellous Bone.

A. Nazarian, M. Stauber, D. Zurakowski, B. Snyder, R. Mueller
Published 2006 · Mathematics, Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
Share
Inroads have been made in the diagnosis and treatment of osteoporosis, yet dual-energy X-ray absorptiometry is still the primary diagnostic modality. This method provides 2D projections of an irregular 3D construct. However, human cancellous bone is highly heterogeneous with varying material properties. Therefore, to properly assess fracture risk, it is imperative to take into consideration microstructural indices besides subregional bone volume fraction (BV/TV). A power law model with average BV/TV as the independent variable describes 38% of the variation in yield strength; however, this predictive power is increased to 56% when BV/TV of the weakest subregion is considered. Of twenty-five specimens studied, 76% had minimum BV/TV, maximum principal Eigen value of the fabric tensor (H1) and minimum connectivity density (Conn.D) values within the visually determined failure regions. These three independent morphometric indices yielded significant differences between the failure and non-failure regions of each specimen. From the results, we conclude that subregions with minimal BV/TV values are better predictors of mechanical failure in cancellous bone than average specimen BV/TV. Addition of microstructural indices augments this predictive power to generate a trabecular failure prediction model based on volume fraction and cancellous bone microstructure specifically in areas where trabecular failure is most likely to occur.
This paper references
NIH Consensus Panel Addresses Osteoporosis Prevention, Diagnosis, and Therapy
Ray Fleming (2000)
Micro-tomographic imaging for the nondestructive evaluation of trabecular bone architecture.
R. Müller (1997)
10.1016/0021-9290(93)90021-6
Theoretical analysis of the experimental artifact in trabecular bone compressive modulus.
T. M. Keaveny (1993)
10.1007/BF02509542
A microtomographic system for the nondestructive evaluation of bone architecture
P. Rüegsegger (2006)
10.1002/JBM.B.30232
Design and implementation of a novel mechanical testing system for cellular solids.
A. Nazarian (2005)
10.1007/BF00540446
Characterization of microstructural anisotropy in orthotropic materials using a second rank tensor
T. Harrigan (1984)
10.1145/280811.281026
Marching cubes: a high resolution 3D surface construction algorithm
W. Lorensen (1996)
10.1002/JOR.1100150115
Systematic and random errors in compression testing of trabecular bone
T. M. Keaveny (1997)
10.2307/2344247
The analysis of binary data
D. R. Cox (1970)
10.1118/1.1527038
Topology-based orientation analysis of trabecular bone networks.
B. Gomberg (2003)
Trabecular
M Hahn (2003)
10.1080/00401706.1991.10484819
Analysis of Binary Data (2nd ed.)
E. Ziegel (1991)
10.1016/S8756-3282(97)00007-0
Three-dimensional methods for quantification of cancellous bone architecture.
A. Odgaard (1997)
10.1088/0031-9155/39/1/009
Non-invasive bone biopsy: a new method to analyse and display the three-dimensional structure of trabecular bone.
R. Mueller (1994)
10.3233/THC-1998-65-616
Micro-compression: a novel technique for the nondestructive assessment of local bone failure.
R. Müller (1998)
10.2307/2289625
Analysis of Binary Data (2nd ed.).
D. Steffey (1990)
10.1016/0002-9343(87)90274-9
Trabecular bone architecture in the pathogenesis and prevention of fracture.
A. Parfitt (1987)
Age - related changes in vertebral trabecular
L Mosekilde (1987)
10.1359/JBMR.040809
Intermittent Ibandronate Preserves Bone Quality and Bone Strength in the Lumbar Spine After 16 Months of Treatment in the Ovariectomized Cynomolgus Monkey
R. Mueller (2004)
Osteoporosis prevention, diagnosis, and therapy.
A. Klibanski (2000)
10.1016/S8756-3282(97)00100-2
Modeling the mechanical behavior of vertebral trabecular bone: effects of age-related changes in microstructure.
M. Silva (1997)
10.2307/2532419
Applied Logistic Regression.
A. Scott (1991)
10.1016/J.JBIOMECH.2004.09.027
Biomechanics of cellular solids.
L. Gibson (2005)
10.1007/978-3-642-68182-0_11
Diagnosis and Therapy
S. Gerlach (1981)
10.1016/0021-9290(93)90059-N
Trabecular bone modulus and strength can depend on specimen geometry.
T. M. Keaveny (1993)
10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O
A comparison of goodness-of-fit tests for the logistic regression model.
D. Hosmer (1997)
architec - ture - assessed by a new method
R Muller (1988)
10.1016/8756-3282(93)90245-6
Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions.
A. Odgaard (1993)
10.1016/S0021-9290(03)00254-9
Time-lapsed microstructural imaging of bone failure behavior.
A. Nazarian (2004)
10.1016/8756-3282(92)90078-B
Trabecular bone pattern factor--a new parameter for simple quantification of bone microarchitecture.
M. Hahn (1992)
10.1359/jbmr.1999.14.7.1167
Direct Three‐Dimensional Morphometric Analysis of Human Cancellous Bone: Microstructural Data from Spine, Femur, Iliac Crest, and Calcaneus
T. Hildebrand (1999)
10.1001/JAMA.285.6.785
Osteoporosis prevention, diagnosis, and therapy.
A. Klibanski (2001)
10.1126/SCIENCE.996549
Bone compressive strength: the influence of density and strain rate.
D. Carter (1976)
10.1007/s00198-003-1478-0
Measuring the structural strength of bones with dual-energy X-ray absorptiometry: principles, technical limitations, and future possibilities
Thomas E. Beck (2003)
10.1016/8756-3282(88)90038-5
Age-related changes in vertebral trabecular bone architecture--assessed by a new method.
L. Mosekilde (1988)
10.1016/0021-9290(88)90008-5
On the dependence of the elasticity and strength of cancellous bone on apparent density.
J. Rice (1988)



This paper is referenced by
10.1007/s00223-014-9866-3
Subregional DXA-Derived Vertebral Bone Mineral Measures are Stronger Predictors of Failure Load in Specimens with Lower Areal Bone Mineral Density, Compared to Those with Higher Areal Bone Mineral Density
A. Briggs (2014)
10.1138/20080348
CT-based visualization and quantification of bone microstructure in vivo
G. H. Lenthe (2008)
10.1007/s10439-017-1792-x
Effect of View, Scan Orientation and Analysis Volume on Digital Tomosynthesis (DTS) Based Textural Analysis of Bone
Woong Kim (2017)
COMPARISON OF TWO LOADING SURFACE PREPARATION METHODS ON RAT VERTEBRAL BODIES FOR COMPRESSION TESTING
Yvonne Schumacher (2013)
Prediction of Trabecular Fracture Zone
S. Tassani (2012)
10.1016/j.bone.2013.02.015
High-throughput quantification of the mechanical competence of murine femora--a highly automated approach for large-scale genetic studies.
D. Ruffoni (2013)
10.1016/j.bone.2014.05.023
Quantitative relationships between microdamage and cancellous bone strength and stiffness.
C. Hernandez (2014)
10.1002/mp.12603
Three‐dimensional multifractal analysis of trabecular bone under clinical computed tomography
Rodrigo Baravalle (2017)
Inadequate levels of D : not a Delicious perspective
P. Acín (2013)
10.3389/fmats.2018.00006
Trabecular Fracture Zone Might Not Be the Higher Strain Region of the Trabecular Framework
Simone Tassani (2018)
10.1016/J.BONE.2007.07.014
Structural parameters and mechanical strength of cancellous bone in the femoral head in osteoarthritis do not depend on age.
E. Perilli (2007)
10.1007/s00198-012-2039-1
The effect of intravertebral heterogeneity in microstructure on vertebral strength and failure patterns
A. Hussein (2012)
10.1002/jor.21448
Role of trabecular microarchitecture in the formation, accumulation, and morphology of microdamage in human cancellous bone
Lamya Karim (2011)
10.1016/j.bone.2008.08.118
Specimen size and porosity can introduce error into microCT-based tissue mineral density measurements.
R. Fajardo (2009)
NUMERICAL ANALYSIS ON FATIGUE LIFE PREDICTION OF CANCELLOUS BONE RESPECT TO NORMAL WALKING LOADING
M. Mostakhdemin (2015)
10.1002/jbmr.1664
Vertebral fragility and structural redundancy
A. Fields (2012)
Comportement mécanique de l'os spongieux à différentes vitesses de déformation. : relations entre architecture et réponse mécanique.
M. Prot (2015)
10.1016/j.clinbiomech.2011.01.010
Dependence of trabecular structure on bone quantity: a comparison between osteoarthritic and non-pathological bone.
Simone Tassani (2011)
10.1359/jbmr.080517
Microarchitecture Influences Microdamage Accumulation in Human Vertebral Trabecular Bone
M. Arlot (2008)
10.1115/SBC2009-206824
Increased microstructural variability is associated with decreased structural strength but with increased measures of structural ductility in human vertebrae
J. Yerramshetty (2009)
Effects of geometric and material property changes on the apparent elastic properties of cancellous bone
W. Lievers (2009)
10.1016/j.bone.2013.12.007
The micro-structure of bone trabecular fracture: an inter-site study.
S. Tassani (2014)
Multiscale quantitative imaging of human femoral heads using X-ray microtomography
F. Ahmed (2011)
10.1515/bmt-2012-0012
Correlation of pull-out strength of cement-augmented pedicle screws with CT-volumetric measurement of cement
C. Foelsch (2012)
Identification and Study of trabecular fracture zone
S. Tassani (2011)
10.1007/s10237-011-0312-4
Mechanisms of reduced implant stability in osteoporotic bone
D. Ruffoni (2012)
10.1016/j.medengphy.2014.11.001
Permeability study of cancellous bone and its idealised structures.
A. Syahrom (2015)
10.1016/J.PIUTAM.2012.05.013
Digital Volume Correlation for Study of the Mechanics of Whole Bones.
A. Hussein (2012)
10.1016/j.ijfatigue.2019.105451
Fatigue-caused damage in trabecular bone from clinical, morphological and mechanical perspectives
M. J. Mirzaali (2020)
3-D visualization and prediction of spine fractures under axial loading
H. Ali (2013)
10.1016/J.JBIOMECH.2007.08.003
Dependence of mechanical compressive strength on local variations in microarchitecture in cancellous bone of proximal human femur.
E. Perilli (2008)
10.1371/journal.pone.0202210
Determinants of bone damage: An ex-vivo study on porcine vertebrae
M. Mirzaali (2018)
See more
Semantic Scholar Logo Some data provided by SemanticScholar