Literature DB >> 9267694

The ability of ultrasound velocity to predict the stiffness of cancellous bone in vitro.

R Hodgskinson1, C F Njeh, J D Currey, C M Langton.   

Abstract

The mechanical status of bones is an important consideration in skeletal pathological conditions such as osteoporosis, which result in fracture at predominantly cancellous bone sites. Density is a good predictor of the stiffness and strength of cancellous bone. However, these mechanical properties are also dependent on the cancellous bone's architecture. The objective of this work was to investigate the ability of ultrasound velocity to predict the Young's modulus of elasticity of cancellous bone. The cancellous bone specimens were 20 mm cubes from bovine femur and 21 mm diameter mediolateral cylinders cored from human calcaneus. Ultrasound velocity (V) and Young's modulus (E) were determined in three orthogonal directions for the bovine cubes [anteroposterior (AP), mediolateral (ML), and proximodistal (PD)], and mediolaterally in the calcaneus. Apparent density (p) was determined after the other tests. Density alone explains 87.6% of the variance of Young's modulus in human calcaneal and bovine femoral bone tested in the PD direction only. Velocity, however, explains 95% and a combination of density and velocity 97%. Velocity and stiffness are not random with respect to the three directions in the bovine specimens. Further, for each cube we obtained the mean of the three values of E and of V, and characterized each value of E and V by their deviation from their mean. There is an extremely strong positive correlation (r = 0.80) showing that the degree of deviation is consistent for E and V, and of the same sign. These results demonstrate that the velocity of ultrasound in cubes of cancellous bone can give structure-specific information. In particular, knowledge of both density and velocity allows better predictions of stiffness than do density or ultrasound velocity on their own. Because there are noninvasive methods of measuring density that do not depend on ultrasonic measurement the combination of these two measurements promises, eventually, to give improved assessment of a bone's weakness and liability to fracture.

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Year:  1997        PMID: 9267694     DOI: 10.1016/s8756-3282(97)00098-7

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  9 in total

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2.  Characterization of the trabecular bone structure using frequency modulated ultrasound pulse.

Authors:  Wei Lin; Yi Xia; Yi-Xian Qin
Journal:  J Acoust Soc Am       Date:  2009-06       Impact factor: 1.840

3.  Quantitative ultrasound measurements of the calcaneus in the prediction of lumbar spine degeneration.

Authors:  M Mariconda; G Lotti; R Fava; R Midolo; C Longo; C Milano
Journal:  Eur Spine J       Date:  2004-02-10       Impact factor: 3.134

4.  Use of quantitative ultrasound of the hand phalanges in the diagnosis of two different osteoporotic syndromes: Cushing's syndrome and postmenopausal osteoporosis.

Authors:  V Camozzi; V Carraro; M Zangari; F Fallo; F Mantero; G Luisetto
Journal:  J Endocrinol Invest       Date:  2004-06       Impact factor: 4.256

Review 5.  Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-10-16       Impact factor: 2.725

6.  Reduced diaphyseal strength associated with high intracortical vascular porosity within long bones of children with osteogenesis imperfecta.

Authors:  Carolyne Albert; John Jameson; Peter Smith; Gerald Harris
Journal:  Bone       Date:  2014-06-11       Impact factor: 4.398

7.  Is ankle fracture related to low bone mineral density and subsequent fracture? A systematic review.

Authors:  Atiporn Therdyothin; Nacharin Phiphopthatsanee; Wiwat Wajanavisit; Patarawan Woratanarat; Sukij Laohajaroensombat; Tulyapruek Tawonsawatruk
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8.  Relationship between quantitative ultrasound, anthropometry and sports participation in college aged adults.

Authors:  Annie C Wetter; Christina D Economos
Journal:  Osteoporos Int       Date:  2004-03-20       Impact factor: 4.507

9.  Bone loss. Quantitative imaging techniques for assessing bone mass in rheumatoid arthritis.

Authors:  C F Njeh; H K Genant
Journal:  Arthritis Res       Date:  2000-08-03
  9 in total

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