Are CT-Based Finite Element Model Predictions of Femoral Bone Strengthening Clinically Useful?

Purpose of ReviewThis study reviews the available literature to compare the accuracy of areal bone mineral density derived from dual X-ray absorptiometry (DXA-aBMD) and of subject-specific finite element models derived from quantitative computed tomography (QCT-SSFE) in predicting bone strength measured experimentally on cadaver bones, as well as their clinical accuracy both in terms of discrimination and prediction. Based on this information, some basic cost-effectiveness calculations are performed to explore the use of QCT-SSFE instead of DXA-aBMD in (a) clinical studies with femoral strength as endpoint, (b) predictor of the risk of hip fracture in low bone mass patients.Recent FindingsRecent improvements involving the use of smooth-boundary meshes, better anatomical referencing for proximal-only scans, multiple side-fall directions, and refined boundary conditions increase the predictive accuracy of QCT-SSFE.SummaryIf these improvements are adopted, QCT-SSFE is always preferable over DXA-aBMD in clinical studies with femoral strength as the endpoint, while it is not yet cost-effective as a hip fracture risk predictor, although pathways that combine both QCT-SSFE and DXA-aBMD are promising.

[1]  G Lowet,et al.  Assessment of the strength of proximal femur in vitro: relationship to femoral bone mineral density and femoral geometry. , 1997, Bone.

[2]  M. K. Javaid,et al.  Impact of hip fracture on hospital care costs: a population-based study , 2015, Osteoporosis International.

[3]  R. Eastell,et al.  Distribution of bone density and cortical thickness in the proximal femur and their association with hip fracture in postmenopausal women: a quantitative computed tomography study , 2013, Osteoporosis International.

[4]  Volker Kuhn,et al.  Bone Strength at Clinically Relevant Sites Displays Substantial Heterogeneity and Is Best Predicted From Site‐Specific Bone Densitometry , 2002, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[5]  D. Dragomir-Daescu,et al.  QCT/FEA predictions of femoral stiffness are strongly affected by boundary condition modeling , 2016, Computer methods in biomechanics and biomedical engineering.

[6]  Tony M. Keaveny,et al.  Response to questions regarding conclusions reached in “Age dependence of femoral strength in white women and men” , 2010 .

[7]  P K Basu,et al.  3-D femoral stress analysis using CT scans and p-version FEM. , 1985, Biomaterials, medical devices, and artificial organs.

[8]  M. Viceconti,et al.  Multiple loading conditions analysis can improve the association between finite element bone strength estimates and proximal femur fractures: a preliminary study in elderly women. , 2014, Bone.

[9]  S. Cummings,et al.  Lifetime risks of hip, Colles', or vertebral fracture and coronary heart disease among white postmenopausal women. , 1989, Archives of internal medicine.

[10]  Anders Odén,et al.  Overview of Fracture Prediction Tools. , 2017, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

[11]  Ian Roberts,et al.  The weight of nations: an estimation of adult human biomass , 2012, BMC Public Health.

[12]  M. Ito,et al.  Classification of women with and without hip fracture based on quantitative computed tomography and finite element analysis , 2014, Osteoporosis International.

[13]  F. Taddei,et al.  Left–right differences in the proximal femur’s strength of post-menopausal women: a multicentric finite element study , 2016, Osteoporosis International.

[14]  B. Clarke,et al.  Hip Fracture in Women Without Osteoporosis , 2006 .

[15]  Klaus Engelke,et al.  In vivo discrimination of hip fracture with quantitative computed tomography: Results from the prospective European Femur Fracture Study (EFFECT) , 2011, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[16]  V. Gudnason,et al.  Male-female differences in the association between incident hip fracture and proximal femoral strength: a finite element analysis study. , 2011, Bone.

[17]  M. Viceconti,et al.  Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants , 2016, Osteoporosis International.

[18]  Ling Qin,et al.  Clinical Use of Quantitative Computed Tomography-Based Finite Element Analysis of the Hip and Spine in the Management of Osteoporosis in Adults: the 2015 ISCD Official Positions-Part II. , 2015, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

[19]  T. Harris,et al.  Effect of finite element model loading condition on fracture risk assessment in men and women: the AGES-Reykjavik study. , 2013, Bone.

[20]  A. Alho,et al.  Bending strength of the femur in relation to non-invasive bone mineral assessment. , 1995, Journal of biomechanics.

[21]  Kai Mei,et al.  Effects of dose reduction on bone strength prediction using finite element analysis , 2016, Scientific Reports.

[22]  Shreyasee Amin,et al.  Age-Dependence of Femoral Strength in White Women and Men , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[23]  A. Cappello,et al.  Risk of fracture in elderly patients: a new predictive index based on bone mineral density and finite element analysis. , 1999, Computer methods and programs in biomedicine.

[24]  S. Gabriel,et al.  Impact of Hip and Vertebral Fractures on Quality-Adjusted Life Years , 2001, Osteoporosis International.

[25]  L Cristofolini,et al.  A comparative study on different methods of automatic mesh generation of human femurs. , 1998, Medical engineering & physics.

[26]  F. Taddei,et al.  To what extent can linear finite element models of human femora predict failure under stance and fall loading configurations? , 2014, Journal of biomechanics.

[27]  Gregory Chang,et al.  Cost-effectiveness of Virtual Bone Strength Testing in Osteoporosis Screening Programs for Postmenopausal Women in the United States. , 2017, Radiology.

[28]  Paul G Shekelle,et al.  Comparative Effectiveness of Pharmacologic Treatments to Prevent Fractures , 2014, Annals of Internal Medicine.

[29]  Philippe Büchler,et al.  Influence of Smoothing on Voxel-Based Mesh Accuracy in Micro-Finite Element , 2010 .

[30]  Mary L Bouxsein,et al.  Comparison of non-invasive assessments of strength of the proximal femur. , 2017, Bone.

[31]  H. Genant,et al.  Comparison of proximal femur and vertebral body strength improvements in the FREEDOM trial using an alternative finite element methodology. , 2015, Bone.

[32]  David Mitton,et al.  Prediction of Hip Failure Load: In Vitro Study of 80 Femurs Using Three Imaging Methods and Finite Element Models-The European Fracture Study (EFFECT). , 2016, Radiology.

[33]  R. Eastell,et al.  Association of incident hip fracture with the estimated femoral strength by finite element analysis of DXA scans in the Osteoporotic Fractures in Men (MrOS) study , 2018, Osteoporosis International.

[34]  V. Gudnason,et al.  Assessment of incident spine and hip fractures in women and men using finite element analysis of CT scans , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[35]  Mauricio Reyes,et al.  Biomechanical Role of Bone Anisotropy Estimated on Clinical CT Scans by Image Registration , 2016, Annals of Biomedical Engineering.

[36]  W. Skalli,et al.  Volumetric quantitative computed tomography of the proximal femur: relationships linking geometric and densitometric variables to bone strength. Role for compact bone , 2006, Osteoporosis International.

[37]  F. Kainberger,et al.  A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro. , 2013, Bone.

[38]  Marco Viceconti,et al.  An accurate estimation of bone density improves the accuracy of subject-specific finite element models. , 2008, Journal of biomechanics.

[39]  Yifei Dai,et al.  Robust QCT/FEA Models of Proximal Femur Stiffness and Fracture Load During a Sideways Fall on the Hip , 2011, Annals of Biomedical Engineering.

[40]  Nancy Lane,et al.  Finite Element Analysis of the Proximal Femur and Hip Fracture Risk in Older Men , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[41]  F. Taddei,et al.  A novel approach to estimate trabecular bone anisotropy using a database approach. , 2013, Journal of biomechanics.