Literature DB >> 20577874

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

V Kilappa1, P Moilanen, L Xu, P H F Nicholson, J Timonen, S Cheng.   

Abstract

UNLABELLED: Axial transmission velocity of a low-frequency first arriving signal (V (LF)) was assessed in the radius and tibia of 254 females, and compared to site-matched pQCT measurements. V (LF) best correlated with cortical BMD, but significantly also with subcortical BMD and cortical thickness. Correlations were strongest for the radius in postmenopausal females.
INTRODUCTION: Ultrasonic low-frequency (LF; 0.2-0.4 MHz) axial transmission, based on the first arriving signal (FAS), provides enhanced sensitivity to thickness and endosteal properties of cortical wall of the radius and tibia compared to using higher frequencies (e.g., 1 MHz). This improved sensitivity of the LF approach has not yet been clearly confirmed by an in vivo study on adult subjects. The aims of the present study were to evaluate the extent to which LF measurements reflect cortical thickness and bone mineral density, and to assess whether an individual LF measurement can provide a useful estimate for these bone properties.
METHODS: Velocity of the LF FAS (V (LF)) was assessed in the radius and tibia shaft by a new ultrasonometer (CV(RMS) = 0.5%) in a cross-sectional study involving 159 premenopausal (20-58 years) and 95 postmenopausal females (45-88 years). Site-matched volumetric total bone mineral density (BMD), cortical bone mineral density (CBMD), subcortical bone mineral density (ScBMD) and cortical thickness (CTh) were assessed using pQCT.
RESULTS: For the postmenopausal females, V (LF) correlated best with CBMD in the radius (R = 0.850, p < 0.001), but significantly also with ScBMD and CTh (R = 0.759 and R = 0.761, respectively; p < 0.001). Similar trends but weaker correlations were observed for the tibia and for the premenopausal women.
CONCLUSIONS: The LF assessment, with an optimal excitation frequency, thus provided good prediction of both cortical thickness and subcortical bone material properties. These results suggest that the LF approach does indeed have enhanced sensitivity for detecting osteoporotic changes that occur deep in the endosteal bone.

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Year:  2010        PMID: 20577874     DOI: 10.1007/s00198-010-1273-7

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


  45 in total

1.  Bidirectional axial transmission can improve accuracy and precision of ultrasonic velocity measurement in cortical bone: a validation on test materials.

Authors:  Emmanuel Bossy; Maryline Talmant; Marielle Defontaine; Frédéric Patat; Pascal Laugier
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2004-01       Impact factor: 2.725

2.  Use of multiple acoustic wave modes for assessment of long bones: model study.

Authors:  Alexey Tatarinov; Noune Sarvazyan; Armen Sarvazyan
Journal:  Ultrasonics       Date:  2005-03-31       Impact factor: 2.890

Review 3.  Ultrasound and the biomechanical competence of bone.

Authors:  P F Nicholson
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-07       Impact factor: 2.725

4.  Discriminatory ability of quantitative ultrasound parameters and bone mineral density in a population-based sample of postmenopausal women with vertebral fractures: results of the Basel Osteoporosis Study.

Authors:  F Hartl; A Tyndall; M Kraenzlin; C Bachmeier; C Gückel; U Senn; D Hans; R Theiler
Journal:  J Bone Miner Res       Date:  2002-02       Impact factor: 6.741

5.  Ultrasound velocity measurement in long bones: measurement method and simulation of ultrasound wave propagation.

Authors:  G Lowet; G Van der Perre
Journal:  J Biomech       Date:  1996-10       Impact factor: 2.712

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  An in vitro investigation of the dependence on sample thickness of the speed of sound along the specimen.

Authors:  C F Njeh; D Hans; C Wu; E Kantorovich; M Sister; T Fuerst; H K Genant
Journal:  Med Eng Phys       Date:  1999-11       Impact factor: 2.242

8.  Monitoring bone growth using quantitative ultrasound in comparison with DXA and pQCT.

Authors:  Qingju Wang; Patrick H F Nicholson; Jussi Timonen; Markku Alen; Petro Moilanen; Harri Suominen; Sulin Cheng
Journal:  J Clin Densitom       Date:  2007-12-26       Impact factor: 2.617

9.  Quantitative ultrasound of the tibia: a novel approach for assessment of bone status.

Authors:  A J Foldes; A Rimon; D D Keinan; M M Popovtzer
Journal:  Bone       Date:  1995-10       Impact factor: 4.398

10.  Is QUS or DXA better for predicting the 10-year absolute risk of fracture?

Authors:  Alireza Moayyeri; Stephen Kaptoge; Nichola Dalzell; Sheila Bingham; Robert N Luben; Nicholas J Wareham; Jonathan Reeve; Kay Tee Khaw
Journal:  J Bone Miner Res       Date:  2009-07       Impact factor: 6.741

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  12 in total

1.  Ultrasound to assess bone quality.

Authors:  Kay Raum; Quentin Grimal; Peter Varga; Reinhard Barkmann; Claus C Glüer; Pascal Laugier
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

2.  Quantitative ultrasound measurement of bone density based on dynamic time window: suitable for the measurement of speed of sound in radius.

Authors:  Yang Xu; Yubing Xu; Yanyan Chen; Zenghui Ding; Zuchang Ma; Yining Sun
Journal:  J Med Ultrason (2001)       Date:  2016-04-20       Impact factor: 1.314

3.  Multi-site bone ultrasound measurements in elderly women with and without previous hip fractures.

Authors:  J P Karjalainen; O Riekkinen; J Töyräs; M Hakulinen; H Kröger; T Rikkonen; K Salovaara; J S Jurvelin
Journal:  Osteoporos Int       Date:  2011-06-09       Impact factor: 4.507

4.  Osteoporosis detection in postmenopausal women using axial transmission multi-frequency bone ultrasonometer: clinical findings.

Authors:  Vladimir Egorov; Alexey Tatarinov; Noune Sarvazyan; Randee Wood; Leonid Magidenko; Shreyasee Amin; Sundeep Khosla; Richard J Ruh; Jennifer M Ruh; Armen Sarvazyan
Journal:  Ultrasonics       Date:  2013-09-10       Impact factor: 2.890

5.  Discrimination of fractures by low-frequency axial transmission ultrasound in postmenopausal females.

Authors:  P Moilanen; M Määttä; V Kilappa; L Xu; P H F Nicholson; M Alén; J Timonen; T Jämsä; S Cheng
Journal:  Osteoporos Int       Date:  2012-05-26       Impact factor: 4.507

6.  Axial Transmission: Techniques, Devices and Clinical Results.

Authors:  Nicolas Bochud; Pascal Laugier
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

7.  Clinical assessment of the 1/3 radius using a new desktop ultrasonic bone densitometer.

Authors:  Emily M Stein; Fernando Rosete; Polly Young; Mafo Kamanda-Kosseh; Donald J McMahon; Gangming Luo; Jonathan J Kaufman; Elizabeth Shane; Robert S Siffert
Journal:  Ultrasound Med Biol       Date:  2013-01-11       Impact factor: 2.998

8.  Associations between radius low-frequency axial ultrasound velocity and bone fragility in elderly men and women.

Authors:  E Biver; J Pepe; A de Sire; T Chevalley; S Ferrari
Journal:  Osteoporos Int       Date:  2018-10-10       Impact factor: 4.507

9.  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

10.  Association between low-frequency ultrasound and hip fractures -- comparison with DXA-based BMD.

Authors:  Mikko Määttä; Petro Moilanen; Jussi Timonen; Pasi Pulkkinen; Raija Korpelainen; Timo Jämsä
Journal:  BMC Musculoskelet Disord       Date:  2014-06-16       Impact factor: 2.362

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