Literature DB >> 10870897

Short term in vivo precision of proximal femoral finite element modeling.

D D Cody1, F J Hou, G W Divine, D P Fyhrie.   

Abstract

As more therapies are introduced to treat osteoporosis, precise in vivo methods are needed to monitor response to therapy and to estimate the gains in bone strength that result from treatment. A method for evaluating the strength of the proximal femur was developed and its short term reproducibility, or precision, was determined in vivo. Ten volunteer subjects aged 51-62 years (mean 55.6 years), eight women and two men, were examined using a quantitative computed tomography (QCT) protocol. They were positioned, scanned, repositioned and re-scanned. The QCT images were registered in three-dimensional space, and finite element (FE) models were generated and processed to simulate a stance phase load configuration. Stiffness was computed from each FE model, and strength was computed using a regression equation between FE stiffness and fracture load for a small set (n = 6) of experimental specimens. The coefficients of variation (COV) and repeatability (COR= 2.23* 42*COV) were determined. The COV for the FE fracture load computed was 1.85%, and the detectable limit (coefficient of repeatability) for serial measurements was 5.85%. That is, if a change of 5.85% or more in computed FE fracture load is observed, it will be too large to be consistent with measurement variation, but instead can be interpreted as a real change in the strength of the bone. The detectable limit of this method makes it suitable for serial research studies on changes in femoral bone strength in vivo.

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Year:  2000        PMID: 10870897     DOI: 10.1114/1.278

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  9 in total

1.  Phantomless calibration of CT scans for measurement of BMD and bone strength-Inter-operator reanalysis precision.

Authors:  David C Lee; Paul F Hoffmann; David L Kopperdahl; Tony M Keaveny
Journal:  Bone       Date:  2017-08-01       Impact factor: 4.398

2.  Automatic multi-parametric quantification of the proximal femur with quantitative computed tomography.

Authors:  Julio Carballido-Gamio; Serena Bonaretti; Isra Saeed; Roy Harnish; Robert Recker; Andrew J Burghardt; Joyce H Keyak; Tamara Harris; Sundeep Khosla; Thomas F Lang
Journal:  Quant Imaging Med Surg       Date:  2015-08

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

4.  Differences in hip quantitative computed tomography (QCT) measurements of bone mineral density and bone strength between glucocorticoid-treated and glucocorticoid-naive postmenopausal women.

Authors:  Kuo-Chiang Lian; Thomas F Lang; Joyce H Keyak; Gunnard W Modin; Qaisar Rehman; Loi Do; Nancy E Lane
Journal:  Osteoporos Int       Date:  2004-09-28       Impact factor: 4.507

5.  Implications of local osteoporosis on the efficacy of anti-resorptive drug treatment: a 3-year follow-up finite element study in risedronate-treated women.

Authors:  D Anitha; K J Kim; S-K Lim; T Lee
Journal:  Osteoporos Int       Date:  2013-07-02       Impact factor: 4.507

6.  Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk.

Authors:  M L Bouxsein; P Zysset; C C Glüer; M McClung; E Biver; D D Pierroz; S L Ferrari
Journal:  Osteoporos Int       Date:  2020-01-03       Impact factor: 4.507

7.  In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.

Authors:  Hans Liebl; Eduardo Grande Garcia; Fabian Holzner; Peter B Noel; Rainer Burgkart; Ernst J Rummeny; Thomas Baum; Jan S Bauer
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

8.  Study of DXA-derived lateral-medial cortical bone thickness in assessing hip fracture risk.

Authors:  Yujia Long; William D Leslie; Yunhua Luo
Journal:  Bone Rep       Date:  2015-04-08

9.  Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.

Authors:  Sina Youssefian; Jarred A Bressner; Mikhail Osanov; James K Guest; Wojciech B Zbijewski; Adam S Levin
Journal:  J Orthop Res       Date:  2021-07-13       Impact factor: 3.102

  9 in total

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