Literature DB >> 9213015

Volumetric quantitative computed tomography of the proximal femur: precision and relation to bone strength.

T F Lang1, J H Keyak, M W Heitz, P Augat, Y Lu, A Mathur, H K Genant.   

Abstract

We have developed a three-dimensional computed tomography (CT) scanning and image analysis method for measurement of trabecular and integral bone mineral density (BMD) and geometry in automatically determined femoral-neck and trochanteric subregions of the proximal femur. We measured the correlation of the density and geometry variables to femoral strength assessed in vitro under loading simulating a single-limb condition and a fall to the side. While BMD alone accounted for 48%-77% of the variability in strength for the stance loading configuration, femoral neck cross-sectional area (minCSA) and femoral neck axis length (FNAL) also contributed independently to femoral strength, and a combination of BMD and geometry variables explained 87%-93% of the variance in the data. For the fall loading configuration, trochanteric trabecular BMD alone explained 87% of the variability of strength. The reproducibility in vivo of the technique was assessed in a group of seven postmenopausal women, who underwent repeat scans with repositioning. For trabecular BMD, the precision was 1.1% and 0.6% for the femoral neck and trochanteric subregions, respectively, compared to 3.3% and 1.6% for the corresponding integral envelopes. Thus, trabecular BMD measurements were reproducible and highly correlated to biomechanical strength measurements. These results support further exploration of quantitative CT for assessment of osteoporosis at the proximal femur.

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Mesh:

Year:  1997        PMID: 9213015     DOI: 10.1016/s8756-3282(97)00072-0

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


  76 in total

1.  Comparison of femoral morphology and bone mineral density between femoral neck fractures and trochanteric fractures.

Authors:  Yuki Maeda; Nobuhiko Sugano; Masanobu Saito; Kazuo Yonenobu
Journal:  Clin Orthop Relat Res       Date:  2010-08-20       Impact factor: 4.176

2.  Automated registration of hip and spine for longitudinal QCT studies: integration with 3D densitometric and structural analysis.

Authors:  Wenjun Li; Miki Sode; Isra Saeed; Thomas Lang
Journal:  Bone       Date:  2005-09-30       Impact factor: 4.398

3.  Image resolution and magnification using a cone beam densitometer: optimizing data acquisition for hip morphometric analysis.

Authors:  V Boudousq; D Mariano Goulart; J M Dinten; C Caderas de Kerleau; E Thomas; O Mares; P O Kotzki
Journal:  Osteoporos Int       Date:  2004-10-16       Impact factor: 4.507

Review 4.  Bone imaging: traditional techniques and their interpretation.

Authors:  Holger F Boehm; Thomas M Link
Journal:  Curr Osteoporos Rep       Date:  2004-06       Impact factor: 5.096

5.  Considerations for development of surrogate endpoints for antifracture efficacy of new treatments in osteoporosis: a perspective.

Authors:  Mary L Bouxsein; Pierre D Delmas
Journal:  J Bone Miner Res       Date:  2008-08       Impact factor: 6.741

6.  Voxel-based modeling and quantification of the proximal femur using inter-subject registration of quantitative CT images.

Authors:  Wenjun Li; Irina Kezele; D Louis Collins; Alex Zijdenbos; Joyce Keyak; John Kornak; Alain Koyama; Isra Saeed; Adrian Leblanc; Tamara Harris; Ying Lu; Thomas Lang
Journal:  Bone       Date:  2007-07-17       Impact factor: 4.398

7.  Cortical and trabecular bone in the femoral neck both contribute to proximal femur failure load prediction.

Authors:  S L Manske; T Liu-Ambrose; D M L Cooper; S Kontulainen; P Guy; B B Forster; H A McKay
Journal:  Osteoporos Int       Date:  2008-07-26       Impact factor: 4.507

8.  Bone mineral density of the tarsals and metatarsals with reloading.

Authors:  Mary Kent Hastings; Judy Gelber; Paul K Commean; Fred Prior; David R Sinacore
Journal:  Phys Ther       Date:  2008-04-03

Review 9.  Bone quality: the determinants of bone strength and fragility.

Authors:  Hélder Fonseca; Daniel Moreira-Gonçalves; Hans-Joachim Appell Coriolano; José Alberto Duarte
Journal:  Sports Med       Date:  2014-01       Impact factor: 11.136

10.  Compressive axial mechanical properties of rat bone as functions of bone volume fraction, apparent density and micro-ct based mineral density.

Authors:  Esther Cory; Ara Nazarian; Vahid Entezari; Vartan Vartanians; Ralph Müller; Brian D Snyder
Journal:  J Biomech       Date:  2009-12-08       Impact factor: 2.712

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