Literature DB >> 18247119

Methods for measurement of pediatric bone.

Teresa L Binkley1, Ryan Berry, Bonny L Specker.   

Abstract

Many experts believe that optimizing bone mineral accrual early in life may prevent childhood fractures and possibly delay the development of osteoporosis later in life. Adequate nutrition and physical activity are environmental factors important in determining whether or not children acquire an appropriate amount of bone for their body size. Pediatric diseases, or therapeutic interventions used in their treatment, may interfere with normal bone development. Although there are specific methods available for assessing pediatric bone, there is no one method that can adequately assess bone health and identify the specific bone deficits that may be occurring. Understanding the biological basis for bone deficits and the ability of various bone assessment methods to discriminate or measure these deficits is important in understanding normal bone development and how to prevent and treat pediatric bone disease. The purpose of this review is to briefly describe changes in bone with growth, to define "bone density" in biological terms, to discuss some of the issues with pediatric bone measurements, and to review the three main methods for assessing bone parameters in pediatric populations. These methods, including dual energy X-ray absorptiometry (DXA), quantitative ultrasound (QUS) and peripheral quantitative computed tomography (pQCT) will be described, the advantages and disadvantages discussed, and the relationship between bone parameters and fracture risk presented for each of the methods.

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Year:  2008        PMID: 18247119     DOI: 10.1007/s11154-008-9073-5

Source DB:  PubMed          Journal:  Rev Endocr Metab Disord        ISSN: 1389-9155            Impact factor:   6.514


  70 in total

1.  Percent body fat and bone mass in healthy Canadian females 10 to 19 years of age.

Authors:  H A Weiler; L Janzen; K Green; J Grabowski; M M Seshia; K C Yuen
Journal:  Bone       Date:  2000-08       Impact factor: 4.398

2.  Increase in bone volume fraction precedes architectural adaptation in growing bone.

Authors:  E Tanck; J Homminga; G H van Lenthe; R Huiskes
Journal:  Bone       Date:  2001-06       Impact factor: 4.398

3.  Epidemiology of children's fractures.

Authors:  L A Landin
Journal:  J Pediatr Orthop B       Date:  1997-04       Impact factor: 1.041

4.  Tibial quantitative ultrasound versus whole-body and lumbar spine DXA in a Dutch pediatric and adolescent population.

Authors:  R R van Rijn; I M van der Sluis; M H Lequin; S G Robben; S M de Muinck Keizer-Schrama; W C Hop; C van Kuijk
Journal:  Invest Radiol       Date:  2000-09       Impact factor: 6.016

5.  The development of the skeletal system in children and the influence of muscular strength.

Authors:  E Schönau
Journal:  Horm Res       Date:  1998

6.  Bone quality parameters of the distal radius as assessed by pQCT in normal and fractured women.

Authors:  P Schneider; C Reiners; G R Cointry; R F Capozza; J L Ferretti
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

7.  Mechanical validation of a tomographic (pQCT) index for noninvasive estimation of rat femur bending strength.

Authors:  J L Ferretti; R F Capozza; J R Zanchetta
Journal:  Bone       Date:  1996-02       Impact factor: 4.398

Review 8.  Skeletal adaptations to mechanical usage: results from tibial loading studies in rats.

Authors:  M R Forwood; C H Turner
Journal:  Bone       Date:  1995-10       Impact factor: 4.398

9.  Epidemiology of fractures of the distal end of the radius in children as associated with growth.

Authors:  D A Bailey; J H Wedge; R G McCulloch; A D Martin; S C Bernhardson
Journal:  J Bone Joint Surg Am       Date:  1989-09       Impact factor: 5.284

10.  pQCT measurement of bone parameters in young children: validation of technique.

Authors:  T L Binkley; B L Specker
Journal:  J Clin Densitom       Date:  2000       Impact factor: 2.963

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  27 in total

1.  The correlation between calcaneus stiffness index calculated by QUS and total body BMD assessed by DXA in Chinese children and adolescents.

Authors:  Yi Xu; Bin Guo; Jian Gong; Hao Xu; Zhiquan Bai
Journal:  J Bone Miner Metab       Date:  2013-05-22       Impact factor: 2.626

2.  Variation in childhood skeletal robustness is an important determinant of cortical area in young adults.

Authors:  Siddharth Bhola; Julia Chen; Joseph Fusco; G Felipe Duarte; Nelly Andarawis-Puri; Richard Ghillani; Karl J Jepsen
Journal:  Bone       Date:  2011-07-23       Impact factor: 4.398

3.  Assessment of material, structural, and functional properties of the human skeleton by pQCT systems.

Authors:  Emilio J A Roldán; César E Bogado
Journal:  Curr Osteoporos Rep       Date:  2009-07       Impact factor: 5.096

4.  Agreement between pQCT- and DXA-derived indices of bone geometry, density, and theoretical strength in females of varying age, maturity, and physical activity.

Authors:  Jodi Noelle Dowthwaite; Portia P E Flowers; Tamara Ann Scerpella
Journal:  J Bone Miner Res       Date:  2011-06       Impact factor: 6.741

5.  A longitudinal comparison of appendicular bone growth and markers of strength through adolescence in a South African cohort using radiogrammetry and pQCT.

Authors:  A Magan; L K Micklesfield; L H Nyati; S A Norris; J M Pettifor
Journal:  Osteoporos Int       Date:  2018-11-13       Impact factor: 4.507

6.  Phalangeal quantitative ultrasound in 1,719 children and adolescents with bone disorders.

Authors:  A Mussa; F Porta; G Baldassarre; G Tuli; F de Terlizzi; P Matarazzo; S Einaudi; R Lala; A Corrias
Journal:  Osteoporos Int       Date:  2011-09-23       Impact factor: 4.507

Review 7.  Clinical utilities of quantitative ultrasound in osteoporosis associated with inflammatory rheumatic diseases.

Authors:  Win Min Oo; Vasikaran Naganathan; Myat Thae Bo; David J Hunter
Journal:  Quant Imaging Med Surg       Date:  2018-02

8.  Interindividual variation in functionally adapted trait sets is established during postnatal growth and predictable based on bone robustness.

Authors:  Nirnimesh Pandey; Siddharth Bhola; Andrew Goldstone; Fred Chen; Jessica Chrzanowski; Carl J Terranova; Richard Ghillani; Karl J Jepsen
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

9.  Is breastfeeding related to bone properties? A longitudinal analysis of associations between breastfeeding duration and pQCT parameters in children and adolescents.

Authors:  Tilman Kühn; Anja Kroke; Thomas Remer; Eckhard Schönau; Anette E Buyken
Journal:  Matern Child Nutr       Date:  2012-08-22       Impact factor: 3.092

10.  Reference data and percentile curves of body composition measured with dual energy X-ray absorptiometry in healthy Chinese children and adolescents.

Authors:  Bin Guo; Yi Xu; Jian Gong; Yongjin Tang; Jingjie Shang; Hao Xu
Journal:  J Bone Miner Metab       Date:  2014-10-16       Impact factor: 2.626

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