Literature DB >> 16497531

Imaging techniques for evaluating bone microarchitecture.

Eric Lespessailles1, Christine Chappard, Nicolas Bonnet, Claude Laurent Benhamou.   

Abstract

At present, fracture risk prediction in the individual patient relies chiefly on bone mineral density (BMD) measurements. However, many lines of evidence indicate that the decreased bone strength characteristic of osteoporosis is dependent not only on BMD, but also on other factors, most notably bone microarchitecture. Here, we review available tools for characterizing trabecular microarchitecture (in terms of morphology, topology, and texture) and for obtaining 2D and 3D images (using radiography, computed tomography, and magnetic resonance imaging). Bone microarchitecture imaging is a noninvasive method that may improve fracture risk prediction in the individual patient, shed light on the pathophysiology of osteoporosis, and help to monitor the effects of treatments. Among the various methods available to date, magnetic resonance imaging has the advantage of involving no radiation exposure, although its limited availability restricts its usefulness for studying vast populations. Regardless of the methods selected to assess bone microarchitecture, there is a need for validated standardized parameters capable of improving fracture risk prediction in longitudinal studies.

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Year:  2006        PMID: 16497531     DOI: 10.1016/j.jbspin.2005.12.002

Source DB:  PubMed          Journal:  Joint Bone Spine        ISSN: 1297-319X            Impact factor:   4.929


  18 in total

1.  Screening: Assessing bone structure in the prediction of osteoporotic fractures.

Authors:  Thomas M Link
Journal:  Nat Rev Rheumatol       Date:  2011-11-15       Impact factor: 20.543

2.  Combination of texture analysis and bone mineral density improves the prediction of fracture load in human femurs.

Authors:  T Le Corroller; J Halgrin; M Pithioux; D Guenoun; P Chabrand; P Champsaur
Journal:  Osteoporos Int       Date:  2011-07-08       Impact factor: 4.507

3.  Comparison of micro-CT and cone beam CT on the feasibility of assessing trabecular structures in mandibular condyle.

Authors:  Xin Liang; Zuyan Zhang; Jianping Gu; Zhihui Wang; Bart Vandenberghe; Reinhilde Jacobs; Jie Yang; Guowu Ma; Haibin Ling; Xuchen Ma
Journal:  Dentomaxillofac Radiol       Date:  2017-04-26       Impact factor: 2.419

Review 4.  Diagnostic imaging of trabecular bone microstructure for oral implants: a literature review.

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; D Wismeijer
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

5.  Bone texture analysis of human femurs using a new device (BMA™) improves failure load prediction.

Authors:  S Kolta; S Paratte; T Amphoux; S Persohn; S Campana; W Skalli; S Paternotte; J-N Argenson; J-M Bouler; O Gagey; C Roux
Journal:  Osteoporos Int       Date:  2011-06-09       Impact factor: 4.507

6.  Routine MRI findings of the asymptomatic foot in diabetic patients with unilateral Charcot foot.

Authors:  Ludger W Poll; Ernst A Chantelau
Journal:  Diabetol Metab Syndr       Date:  2010-04-22       Impact factor: 3.320

Review 7.  Osteoporosis drug effects on cortical and trabecular bone microstructure: a review of HR-pQCT analyses.

Authors:  Eric Lespessailles; Ridha Hambli; Serge Ferrari
Journal:  Bonekey Rep       Date:  2016-08-31

8.  Combination of micellar casein with calcium and vitamins D2 and K2 improves bone status of ovariectomized mice.

Authors:  A Boulier; J Schwarz; E Lespesailles; A Baniel; D Tomé; A Blais
Journal:  Osteoporos Int       Date:  2016-05-25       Impact factor: 4.507

Review 9.  Standard radiography: untapped potential in the assessment of osteoporotic fracture risk.

Authors:  Pasi Pulkkinen; Simo Saarakkala; Miika T Nieminen; Timo Jämsä
Journal:  Eur Radiol       Date:  2012-11-28       Impact factor: 5.315

10.  Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images.

Authors:  Julio Carballido-Gamio; Roland Krug; Markus B Huber; Ben Hyun; Felix Eckstein; Sharmila Majumdar; Thomas M Link
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

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