Literature DB >> 22886379

Bone texture analysis is correlated with three-dimensional microarchitecture and mechanical properties of trabecular bone in osteoporotic femurs.

Thomas Le Corroller1, Martine Pithioux, Fahmi Chaari, Benoît Rosa, Sébastien Parratte, Boris Maurel, Jean-Noël Argenson, Pierre Champsaur, Patrick Chabrand.   

Abstract

Fracture of the proximal femur is a major public health problem in elderly persons. It has recently been suggested that combining texture analysis and bone mineral density measurement improves the failure load prediction in human femurs. In this study, we aimed to compare bone texture analysis with three-dimensional (3D) microarchitecture and mechanical properties of trabecular bone in osteoporotic femurs. Eight femoral heads from osteoporotic patients who fractured their femoral neck provided 31 bone cores. Bone samples were studied using a new high-resolution digital X-ray device (BMA™, D3A Medical Systems) allowing for texture analysis with fractal parameter H (mean), and were examined using micro-computed tomography (microCT) for 3D microarchitecture. Finally, uniaxial compression tests to failure were performed to estimate failure load and apparent modulus of bone samples. The fractal parameter H (mean) was strongly correlated with bone volume fraction (BV/TV) (r = 0.84) and trabecular thickness (Tb.Th) (r = 0.91) (p < 0.01). H (mean) was also markedly correlated with failure load (r = 0.84) and apparent modulus (r = 0.71) of core samples (p < 0.01). Bone volume fraction (BV/TV) and trabecular thickness (Tb.Th) demonstrated significant correlations with failure load (r = 0.85 and 0.72, respectively) and apparent modulus (r = 0.72 and 0.64, respectively) (p < 0.01). Overall, the best predictors of failure load were H (mean), bone volume fraction, and trabecular thickness, with r (2) coefficients of 0.83, 0.76, and 0.80 respectively. This study shows that the fractal parameter H (mean) is correlated with 3D microCT parameters and mechanical properties of femoral head bone samples, which suggests that radiographic texture analysis is a suitable approach for trabecular bone microarchitecture assessment in osteoporotic femurs.

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Year:  2012        PMID: 22886379     DOI: 10.1007/s00774-012-0375-z

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  34 in total

Review 1.  The vertebral fracture cascade in osteoporosis: a review of aetiopathogenesis.

Authors:  A M Briggs; A M Greig; J D Wark
Journal:  Osteoporos Int       Date:  2007-01-06       Impact factor: 4.507

2.  Hip fracture in women without osteoporosis.

Authors:  Stacey A Wainwright; Lynn M Marshall; Kristine E Ensrud; Jane A Cauley; Dennis M Black; Teresa A Hillier; Marc C Hochberg; Molly T Vogt; Eric S Orwoll
Journal:  J Clin Endocrinol Metab       Date:  2005-02-22       Impact factor: 5.958

3.  Sex differences of human trabecular bone microstructure in aging are site-dependent.

Authors:  Felix Eckstein; Maiko Matsuura; Volker Kuhn; Mathias Priemel; Ralph Müller; Thomas M Link; Eva-Maria Lochmüller
Journal:  J Bone Miner Res       Date:  2007-06       Impact factor: 6.741

4.  Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W Browner; J Cauley; K Ensrud; H K Genant; L Palermo; J Scott; T M Vogt
Journal:  Lancet       Date:  1993-01-09       Impact factor: 79.321

5.  Hip fractures in the elderly: a world-wide projection.

Authors:  C Cooper; G Campion; L J Melton
Journal:  Osteoporos Int       Date:  1992-11       Impact factor: 4.507

6.  Proximal femur specimens: automated 3D trabecular bone mineral density analysis at multidetector CT--correlation with biomechanical strength measurement.

Authors:  Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva M Lochmüller; Sharmila Majumdar; Thomas M Link
Journal:  Radiology       Date:  2008-05       Impact factor: 11.105

7.  Clinical interest of bone texture analysis in osteoporosis: a case control multicenter study.

Authors:  E Lespessailles; C Gadois; I Kousignian; J P Neveu; P Fardellone; S Kolta; C Roux; J P Do-Huu; C L Benhamou
Journal:  Osteoporos Int       Date:  2008-01-15       Impact factor: 4.507

8.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18

Review 9.  New imaging technologies in the diagnosis of osteoporosis.

Authors:  Galateia J Kazakia; Sharmila Majumdar
Journal:  Rev Endocr Metab Disord       Date:  2006-06       Impact factor: 9.306

10.  Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility.

Authors:  Tamara Vokes; Diane Lauderdale; Siu-Ling Ma; Mike Chinander; Keona Childs; Maryellen Giger
Journal:  J Bone Miner Res       Date:  2010-01       Impact factor: 6.741

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  7 in total

1.  Analysis of trabecular bone microstructure in osteoporotic femoral heads in human patients: in vivo study using multidetector row computed tomography.

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Journal:  BMC Musculoskelet Disord       Date:  2016-01-12       Impact factor: 2.362

2.  Comparison of bone texture between normal individuals and patients with Kashin-Beck disease from plain radiographs in knee.

Authors:  Wenrong Li; Jukka Hirvasniemi; Xiong Guo; Simo Saarakkala; Mikko J Lammi; Chengjuan Qu
Journal:  Sci Rep       Date:  2018-11-30       Impact factor: 4.379

3.  Anti-Osteoporotic Activity of an Edible Traditional Chinese Medicine Cistanche deserticola on Bone Metabolism of Ovariectomized Rats Through RANKL/RANK/TRAF6-Mediated Signaling Pathways.

Authors:  Bo Zhang; Ling-Ling Yang; Shu-Qin Ding; Jing-Jing Liu; Yan-Hong Dong; Yan-Ting Li; Nan Li; Xiao-Jun Zhao; Chang-Ling Hu; Yiping Jiang; Xue-Qin Ma
Journal:  Front Pharmacol       Date:  2019-11-26       Impact factor: 5.810

4.  Using Magnetic Resonance for Predicting Femoral Strength: Added Value with respect to Bone Densitometry.

Authors:  Olivia Louis; Yves Fierens; Maria Strantza; Robert Luypaert; Johan de Mey; Erik Cattrysse
Journal:  Biomed Res Int       Date:  2015-08-27       Impact factor: 3.411

5.  Correlation of Subchondral Bone Density and Structure from Plain Radiographs with Micro Computed Tomography Ex Vivo.

Authors:  Jukka Hirvasniemi; Jérôme Thevenot; Harri T Kokkonen; Mikko A Finnilä; Mikko S Venäläinen; Timo Jämsä; Rami K Korhonen; Juha Töyräs; Simo Saarakkala
Journal:  Ann Biomed Eng       Date:  2015-09-14       Impact factor: 3.934

6.  Differences in tibial subchondral bone structure evaluated using plain radiographs between knees with and without cartilage damage or bone marrow lesions - the Oulu Knee Osteoarthritis study.

Authors:  Jukka Hirvasniemi; Jérôme Thevenot; Ali Guermazi; Jana Podlipská; Frank W Roemer; Miika T Nieminen; Simo Saarakkala
Journal:  Eur Radiol       Date:  2017-04-24       Impact factor: 5.315

Review 7.  Trabecular bone texture analysis of conventional radiographs in the assessment of knee osteoarthritis: review and viewpoint.

Authors:  Ahmad Almhdie-Imjabbar; Pawel Podsiadlo; Richard Ljuhar; Rachid Jennane; Khac-Lan Nguyen; Hechmi Toumi; Simo Saarakkala; Eric Lespessailles
Journal:  Arthritis Res Ther       Date:  2021-08-06       Impact factor: 5.156

  7 in total

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