Literature DB >> 11444089

Ultrasound velocity and cortical bone characteristics in vivo.

H Sievänen1, S Cheng, S Ollikainen, K Uusi-Rasi.   

Abstract

Axial transmission of ultrasound along cortical bone may reflect a combination of material and structural properties of long bone cortices. The goal of this study was to determine the association of speed of sound (SOS) with cortical density (CoD), cortical wall thickness (CWT), and total cortical area (CoA). Quantitative ultrasound (QUS) and peripheral quantitative computed tomography (pQCT) were used to measure the above variables in the distal third of radius and the midshaft of tibia in 51 postmenopausal women aged 62 to 71 years. Univariate regression analysis showed that the site-specific CoD accounted for 34% of the variability in the radial SOS and 29% of that in the tibial SOS (p < 0.001 both). SOS was only moderately associated with radial CWT (R2 = 0.14, p < 0.05) and CoA (R2 = 0.12, p < 0.05), but not with tibial CWT nor CoA. After controlling for CoD, these dimension-related associations disappeared. Stepwise multiple regression analysis showed that CoD was the only significant determinant of radial SOS (adjusted R2 = 0.31), whereas for tibia, not only CoD but also the years since menopause were associated with SOS (adjusted R2 = 0.41). In conclusion, out of the studied macroscopic cortical variables, CoD (an apparent surrogate for material properties of bone) was the only determinant of SOS measured in vivo at radial and tibial shafts. The key question that still needs to be answered is whether the SOS information obtained from the peripheral long bone cortical shafts can be translated to describe the mechanical competence and quality of clinically pertinent bones (e.g. proximal femur) of a given individual.

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Year:  2001        PMID: 11444089     DOI: 10.1007/s001980170109

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  22 in total

1.  Assessment of the tibia using ultrasonic guided waves in pubertal girls.

Authors:  P Moilanen; P H F Nicholson; T Kärkkäinen; Q Wang; J Timonen; S Cheng
Journal:  Osteoporos Int       Date:  2003-10-15       Impact factor: 4.507

2.  Can geometry-based parameters from pQCT and material parameters from quantitative ultrasound (QUS) improve the prediction of radial bone strength over that by bone mass (DXA)?

Authors:  M Hudelmaier; V Kuhn; E M Lochmüller; H Well; M Priemel; T M Link; F Eckstein
Journal:  Osteoporos Int       Date:  2004-01-22       Impact factor: 4.507

3.  Low-frequency axial ultrasound velocity correlates with bone mineral density and cortical thickness in the radius and tibia in pre- and postmenopausal women.

Authors:  V Kilappa; P Moilanen; L Xu; P H F Nicholson; J Timonen; S Cheng
Journal:  Osteoporos Int       Date:  2010-06-25       Impact factor: 4.507

4.  The effect of calcium intake and physical activity on bone quantitative ultrasound measurements in children: a pilot study.

Authors:  Dario Prais; Gary Diamond; Avi Kattan; Jacob Salzberg; Dov Inbar
Journal:  J Bone Miner Metab       Date:  2008-05-11       Impact factor: 2.626

5.  The effect of pore size and density on ultrasonic attenuation in porous structures with mono-disperse random pore distribution: A two-dimensional in-silico study.

Authors:  Omid Yousefian; R D White; Yasamin Karbalaeisadegh; H T Banks; Marie Muller
Journal:  J Acoust Soc Am       Date:  2018-08       Impact factor: 1.840

6.  Horticultural activity predicts later localized limb status in a contemporary pre-industrial population.

Authors:  Jonathan Stieglitz; Benjamin C Trumble; Hillard Kaplan; Michael Gurven
Journal:  Am J Phys Anthropol       Date:  2017-03-27       Impact factor: 2.868

7.  Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

Authors:  Kaustav Mohanty; Omid Yousefian; Yasamin Karbalaeisadegh; Micah Ulrich; Quentin Grimal; Marie Muller
Journal:  Comput Biol Med       Date:  2019-09-20       Impact factor: 4.589

Review 8.  Quantitative ultrasound: use in the detection of fractures and in the assessment of bone composition.

Authors:  Claus-C Glüer; Reinhard Barkmann
Journal:  Curr Osteoporos Rep       Date:  2003-12       Impact factor: 5.096

9.  Pediatric reference curves for multi-site quantitative ultrasound and its modulators.

Authors:  Zvi Zadik; Dario Price; Gary Diamond
Journal:  Osteoporos Int       Date:  2003-08-12       Impact factor: 4.507

10.  The ability of calcaneal and multisite quantitative ultrasound variables in the identification of osteoporosis in women and men.

Authors:  Aydan Oral; Sina Esmaeilzadeh; Ayşe Yalıman; Dilşad Sindel; Pınar Kürsüz Köseoğlu; Tuğba Aydın
Journal:  Turk J Phys Med Rehabil       Date:  2019-07-30
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