Literature DB >> 19525837

Prediction of vertebral strength under loading conditions occurring in activities of daily living using a computed tomography-based nonlinear finite element method.

Takuya Matsumoto1, Isao Ohnishi, Masahiko Bessho, Kazuhiro Imai, Satoru Ohashi, Kozo Nakamura.   

Abstract

STUDY
DESIGN: A clinical study on osteoporotic vertebral strength in daily living using a computed tomography (CT)-based nonlinear finite element (FE) model.
OBJECTIVE: To evaluate the differences in predicted fracture strength of osteoporotic vertebral bodies among the different loading conditions that are occurring in the activities of daily living. SUMMARY OF BACKGROUND DATA: FE model has been reported to predict vertebral strength in uniaxial loading, but forward bending load plays an important role in osteoporotic vertebral fractures.
METHODS: Strengths of the second lumbar vertebra in 41 female patients with postmenopausal osteoporosis were analyzed using a nonlinear CT-based FE method. Three different loading conditions were adopted uniaxial compression, forward bending, and erect standing. The same boundary condition was used for all loading conditions. Predicted strengths under forward bending and erect standing were compared with that under uniaxial compression and differences in strength were statistically analyzed.
RESULTS: The regression equation relating strength under uniaxial compression to that under erect standing was expressed as y = 0.8912x + 19.332 (R = 0.9522), whereas the equation relating uniaxial compression to forward bending was y = 0.7033x + 55.071 (R = 0.8342). Both relationships were significant, but the correlation between forward bending and uniaxial compression was not strong, while strength was lower under forward bending than under uniaxial compression according to the Friedman multiple comparison test (P = 0.00017).
CONCLUSION: Strength under forward bending correlated significantly to that under uniaxial compression, but the correlation was not strong. Therefore, in osteoporotic patients, both uniaxial compression and forward bending should be assessed to evaluate fracture risk in daily living using a CT-based FE method.

Entities:  

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Year:  2009        PMID: 19525837     DOI: 10.1097/BRS.0b013e3181a55636

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  18 in total

Review 1.  Computed tomography-based finite element analysis to assess fracture risk and osteoporosis treatment.

Authors:  Kazuhiro Imai
Journal:  World J Exp Med       Date:  2015-08-20

2.  The Effect of Quantitative Computed Tomography Acquisition Protocols on Bone Mineral Density Estimation.

Authors:  Hugo Giambini; Dan Dragomir-Daescu; Paul M Huddleston; Jon J Camp; Kai-Nan An; Ahmad Nassr
Journal:  J Biomech Eng       Date:  2015-11       Impact factor: 2.097

3.  Locally measured microstructural parameters are better associated with vertebral strength than whole bone density.

Authors:  J Hazrati Marangalou; F Eckstein; V Kuhn; K Ito; M Cataldi; F Taddei; B van Rietbergen
Journal:  Osteoporos Int       Date:  2013-12-04       Impact factor: 4.507

Review 4.  Finite Element-Based Mechanical Assessment of Bone Quality on the Basis of In Vivo Images.

Authors:  Dieter H Pahr; Philippe K Zysset
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

5.  A new method to include the gravitational forces in a finite element model of the scoliotic spine.

Authors:  Julien Clin; Carl-Éric Aubin; Nadine Lalonde; Stefan Parent; Hubert Labelle
Journal:  Med Biol Eng Comput       Date:  2011-07-05       Impact factor: 2.602

Review 6.  Vertebral fracture risk and alendronate effects on osteoporosis assessed by a computed tomography-based nonlinear finite element method.

Authors:  Kazuhiro Imai
Journal:  J Bone Miner Metab       Date:  2011-06-14       Impact factor: 2.626

7.  Sensitivity of patient-specific vertebral finite element model from low dose imaging to material properties and loading conditions.

Authors:  Christophe Travert; Erwan Jolivet; Emilie Sapin-de Brosses; David Mitton; Wafa Skalli
Journal:  Med Biol Eng Comput       Date:  2011-09-17       Impact factor: 2.602

Review 8.  Biomechanics of vertebral fractures and the vertebral fracture cascade.

Authors:  Blaine A Christiansen; Mary L Bouxsein
Journal:  Curr Osteoporos Rep       Date:  2010-12       Impact factor: 5.096

9.  Quantitative, 3D Visualization of the Initiation and Progression of Vertebral Fractures Under Compression and Anterior Flexion.

Authors:  Timothy M Jackman; Amira I Hussein; Cameron Curtiss; Paul M Fein; Anderson Camp; Lidia De Barros; Elise F Morgan
Journal:  J Bone Miner Res       Date:  2015-12-24       Impact factor: 6.741

Review 10.  A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture.

Authors:  Y Luo
Journal:  Osteoporos Int       Date:  2015-09-11       Impact factor: 4.507

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