Literature DB >> 21786006

Differences in structural geometrical outcomes at the neck of the proximal femur using two-dimensional DXA-derived projection (APEX) and three-dimensional QCT-derived (BIT QCT) techniques.

B C C Khoo1, K Brown, K Zhu, M Pollock, K E Wilson, R I Price, R L Prince.   

Abstract

UNLABELLED: Structural geometric parameters at neck of the proximal femur were obtained using DXA-derived hip structural analysis (APEX 3) and quantitative computed tomography-derived (BIT QCT) techniques in 237 elderly females. Linear correlations for parameters ranged from 0.45 to 0.90. The average value of the subperiosteal width, as determined by the two techniques, was the same; variables dependent on mass measurements were different.
INTRODUCTION: There has been increasing interest in using bone structural geometry to assess bone fragility to complement bone mineral mass. The objective of this study is to compare structural geometrical differences between "2D" DXA-derived and "3D" QCT-derived techniques in unselected clinical cases.
METHODS: All 237 females had both DXA and QCT assessments of femoral neck structural geometry. Variables compared were areal bone mineral density, cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), section modulus (Z), averaged cortical thickness (Ct), endosteal width (ESW), subperiosteal width (W), and buckling ratio (BR).
RESULTS: Correlation of femoral neck variables ranged from 0.45 for ESW to 0.90 for CSA. APEX 3 and BIT QCT-derived femoral neck W values were numerically similar. However CSA, CSMI, Z and Ct values measured by APEX 3 were higher and ESW and BR values were lower than corresponding BIT QCT.
CONCLUSIONS: 2D DXA structural analysis of neck of femur is related to but different from same parameters calculated from true 3D images obtained by CT. Femoral neck size values are similar for DXA and QCT, but structural geometrical variables dependent on mass calibration standards, location of neck ROI and mathematical derivation techniques are different.

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Year:  2011        PMID: 21786006     DOI: 10.1007/s00198-011-1727-6

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


  12 in total

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Authors:  Richard L Prince; Amanda Devine; Satvinder S Dhaliwal; Ian M Dick
Journal:  Arch Intern Med       Date:  2006-04-24

2.  In vivo short-term precision of hip structure analysis variables in comparison with bone mineral density using paired dual-energy X-ray absorptiometry scans from multi-center clinical trials.

Authors:  Benjamin C C Khoo; Thomas J Beck; Qi-Hong Qiao; Pallav Parakh; Lisa Semanick; Richard L Prince; Kevin P Singer; Roger I Price
Journal:  Bone       Date:  2005-07       Impact factor: 4.398

3.  A comparative study between corresponding structural geometric variables using 2 commonly implemented hip structural analysis algorithms applied to dual-energy X-ray absorptiometry images.

Authors:  Benjamin C C Khoo; Scott G Wilson; Graeme K Worth; Ursula Perks; Emad Qweitin; Timothy D Spector; Roger I Price
Journal:  J Clin Densitom       Date:  2009 Oct-Dec       Impact factor: 2.617

4.  Geometric indices of bone strength are associated with physical activity and dietary calcium intake in healthy older women.

Authors:  Michelle K Nurzenski; N Kathryn Briffa; Roger I Price; Benjamin C C Khoo; Amanda Devine; Thomas J Beck; Richard L Prince
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

5.  Non-invasive measurement of long bone cross-sectional moment of inertia by photon absorptiometry.

Authors:  R B Martin; D B Burr
Journal:  J Biomech       Date:  1984       Impact factor: 2.712

6.  A randomized school-based jumping intervention confers site and maturity-specific benefits on bone structural properties in girls: a hip structural analysis study.

Authors:  M A Petit; H A McKay; K J MacKelvie; A Heinonen; K M Khan; T J Beck
Journal:  J Bone Miner Res       Date:  2002-03       Impact factor: 6.741

7.  Comparison of DXA hip structural analysis with volumetric QCT.

Authors:  Sven Prevrhal; John A Shepherd; Kenneth G Faulkner; Ken W Gaither; Dennis M Black; Thomas F Lang
Journal:  J Clin Densitom       Date:  2008-02-15       Impact factor: 2.617

8.  Predicting femoral neck strength from bone mineral data. A structural approach.

Authors:  T J Beck; C B Ruff; K E Warden; W W Scott; G U Rao
Journal:  Invest Radiol       Date:  1990-01       Impact factor: 6.016

9.  Comparison of QCT-derived and DXA-derived areal bone mineral density and T scores.

Authors:  B C C Khoo; K Brown; C Cann; K Zhu; S Henzell; V Low; S Gustafsson; R I Price; R L Prince
Journal:  Osteoporos Int       Date:  2008-12-24       Impact factor: 4.507

10.  Proximal femur structural geometry changes during and following lactation.

Authors:  M A Laskey; R I Price; B C C Khoo; A Prentice
Journal:  Bone       Date:  2010-12-03       Impact factor: 4.398

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  6 in total

1.  Does hormone replacement normalize bone geometry in adolescents with anorexia nervosa?

Authors:  Amy D DiVasta; Henry A Feldman; Thomas J Beck; Meryl S LeBoff; Catherine M Gordon
Journal:  J Bone Miner Res       Date:  2014-01       Impact factor: 6.741

2.  Dissimilarity of femur aging in men and women from a Nationwide Survey in Korea (KNHANES IV).

Authors:  Kyoung Min Kim; Jung Soo Lim; Kwang Joon Kim; Han Seok Choi; Yumie Rhee; Han Jin Oh; Hoon Choi; Woong Hwan Choi; Jung Gu Kim; Sung-Kil Lim
Journal:  J Bone Miner Metab       Date:  2012-12-18       Impact factor: 2.626

3.  CTXA hip--an extension of classical DXA measurements using quantitative CT.

Authors:  Christopher E Cann; Judith E Adams; J Keenan Brown; Alan D Brett
Journal:  PLoS One       Date:  2014-03-17       Impact factor: 3.240

4.  Preoperative QCT assessment of femoral head for assessment of femoral head bone loss.

Authors:  Chen Yi; Manyi Wang; Jie Wei; Jun Wang; Ling Wang; Xiaoguang Cheng
Journal:  Exp Ther Med       Date:  2017-02-21       Impact factor: 2.447

5.  Association of body composition with predicted hip bone strength among Chinese postmenopausal women: a longitudinal study.

Authors:  Xin Shi; Yunyang Deng; Huili Kang; Meng Liu; Yu-Ming Chen; Su-Mei Xiao
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

6.  Associations of Age, BMI, and Years of Menstruation with Proximal Femur Strength in Chinese Postmenopausal Women: A Cross-Sectional Study.

Authors:  Huili Kang; Yu-Ming Chen; Guiyuan Han; Hua Huang; Wei-Qing Chen; Xidan Wang; Ying-Ying Zhu; Su-Mei Xiao
Journal:  Int J Environ Res Public Health       Date:  2016-01-23       Impact factor: 3.390

  6 in total

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