Literature DB >> 21301898

Recent progress in bone imaging for osteoporosis research.

Masako Ito1.   

Abstract

Advances in bone imaging techniques have provided tools for analyzing bone structure at the macro-, micro- and nano-level. Quantitative assessment of macrostructure can be achieved using dual X-ray absorptiometry (DXA) and quantitative computed tomography (QCT), particularly volumetric quantitative CT (vQCT). In vivo quantitative techniques for assessing the microstructure of trabecular bone non-invasively and non-destructively include high-resolution CT (HR-CT) and high-resolution magnetic resonance (HR-MR). Compared with MR imaging, CT-based techniques have the advantage of directly visualizing the bone in the axial skeleton, with high spatial resolution, but the disadvantage of delivering a considerable radiation dose. Micro-CT (μCT), which provides a higher resolution of the microstructure and is principally applicable in vitro, has undergone technological advances such that it is now able to elucidate the physiological skeletal change mechanisms associated with aging and determine the effects of therapeutic intervention on the bone microstructure. In particular, synchrotron μCT (SR-CT) provides a more detailed view of trabecular structure at the nano-level. For the assessment of hip geometry, DXA-based hip structure analysis (HSA) and CT-based HSA have been developed. DXA-based HSA is a convenient tool for analyzing biomechanical properties and for assuming cross-sectional hip geometry based on two-dimensional (2D) data, whereas CT-based HSA provides these parameters three-dimensionally in robust relationship with biomechanical properties, at the cost of greater radiation exposure and the lengthy time required for the analytical procedure. Further progress in bone imaging technology is promising to bring new aspects of bone structure in relation to bone strength to light, and to establish a means for analyzing bone structural properties in the everyday clinical setting.

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Year:  2011        PMID: 21301898     DOI: 10.1007/s00774-010-0258-0

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


  57 in total

1.  Prediction of femoral fracture load using finite element models: an examination of stress- and strain-based failure theories.

Authors:  J H Keyak; S A Rossi
Journal:  J Biomech       Date:  2000-02       Impact factor: 2.712

2.  Clinical use of quantitative computed tomography and peripheral quantitative computed tomography in the management of osteoporosis in adults: the 2007 ISCD Official Positions.

Authors:  Klaus Engelke; Judith E Adams; Gabriele Armbrecht; Peter Augat; Cesar E Bogado; Mary L Bouxsein; Dieter Felsenberg; Masako Ito; Sven Prevrhal; Didier B Hans; E Michael Lewiecki
Journal:  J Clin Densitom       Date:  2008 Jan-Mar       Impact factor: 2.617

3.  Relation between age, femoral neck cortical stability, and hip fracture risk.

Authors:  Paul M Mayhew; C David Thomas; John G Clement; Nigel Loveridge; Thomas J Beck; William Bonfield; Chris J Burgoyne; Jonathan Reeve
Journal:  Lancet       Date:  2005 Jul 9-15       Impact factor: 79.321

4.  Effects of salmon calcitonin on trabecular microarchitecture as determined by magnetic resonance imaging: results from the QUEST study.

Authors:  Charles H Chesnut; Sharmilla Majumdar; David C Newitt; Andrew Shields; Jan Van Pelt; Ellen Laschansky; Moise Azria; Audrey Kriegman; Melvin Olson; Erik F Eriksen; Linda Mindeholm
Journal:  J Bone Miner Res       Date:  2005-04-27       Impact factor: 6.741

5.  Multi-detector row CT imaging of vertebral microstructure for evaluation of fracture risk.

Authors:  Masako Ito; Kyoji Ikeda; Masahiko Nishiguchi; Hiroyuki Shindo; Masataka Uetani; Takayuki Hosoi; Hajime Orimo
Journal:  J Bone Miner Res       Date:  2005-06-20       Impact factor: 6.741

6.  Effect of trabecular bone contour on ultimate strength of lumbar vertebra after bilateral ovariectomy in rats.

Authors:  S Ikeda; H Tsurukami; M Ito; A Sakai; T Sakata; S Nishida; S Takeda; A Shiraishi; T Nakamura
Journal:  Bone       Date:  2001-06       Impact factor: 4.398

7.  Long-term treatment of incadronate disodium accumulates microdamage but improves the trabecular bone microarchitecture in dog vertebra.

Authors:  Satoshi Komatsubara; Satoshi Mori; Tasuku Mashiba; Masako Ito; Jiliang Li; Yoshio Kaji; Tomoyuki Akiyama; Kensaku Miyamoto; Yongping Cao; Jun Kawanishi; Hiromichi Norimatsu
Journal:  J Bone Miner Res       Date:  2003-03       Impact factor: 6.741

8.  Trabecular structure quantified with the MRI-based virtual bone biopsy in postmenopausal women contributes to vertebral deformity burden independent of areal vertebral BMD.

Authors:  Glenn A Ladinsky; Branimir Vasilic; Andra M Popescu; Michael Wald; Babette S Zemel; Peter J Snyder; Louise Loh; Hee Kwon Song; Punam K Saha; Alexander C Wright; Felix W Wehrli
Journal:  J Bone Miner Res       Date:  2008-01       Impact factor: 6.741

9.  Minodronic acid (ONO-5920/YM529) prevents decrease in bone mineral density and bone strength, and improves bone microarchitecture in ovariectomized cynomolgus monkeys.

Authors:  Hiroshi Mori; Makoto Tanaka; Ryoji Kayasuga; Taisei Masuda; Yasuo Ochi; Hiroyuki Yamada; Katsuya Kishikawa; Masako Ito; Toshitaka Nakamura
Journal:  Bone       Date:  2008-07-31       Impact factor: 4.398

10.  Time-lapsed assessment of microcrack initiation and propagation in murine cortical bone at submicrometer resolution.

Authors:  R Voide; P Schneider; M Stauber; P Wyss; M Stampanoni; U Sennhauser; G H van Lenthe; R Müller
Journal:  Bone       Date:  2009-05-03       Impact factor: 4.398

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  20 in total

1.  In vivo estimation of bone stiffness at the distal femur and proximal tibia using ultra-high-field 7-Tesla magnetic resonance imaging and micro-finite element analysis.

Authors:  Gregory Chang; Chamith S Rajapakse; James S Babb; Stephen P Honig; Michael P Recht; Ravinder R Regatte
Journal:  J Bone Miner Metab       Date:  2011-11-30       Impact factor: 2.626

2.  MR spectroscopy and micro-CT in evaluation of osteoporosis model in rabbits: comparison with histopathology.

Authors:  Guan-wu Li; Guang-yu Tang; Yong Liu; Rong-biao Tang; Yi-feng Peng; Wei Li
Journal:  Eur Radiol       Date:  2011-11-22       Impact factor: 5.315

Review 3.  Potential of PET-MRI for imaging of non-oncologic musculoskeletal disease.

Authors:  Feliks Kogan; Audrey P Fan; Garry E Gold
Journal:  Quant Imaging Med Surg       Date:  2016-12

4.  Multidetector-row computed tomography is useful to evaluate the therapeutic effects of bisphosphonates in glucocorticoid-induced osteoporosis.

Authors:  Kazunori Inoue; Takayuki Hamano; Nobuhito Nango; Isao Matsui; Kodo Tomida; Satoshi Mikami; Naohiko Fujii; Chikako Nakano; Yoshitsugu Obi; Akihiro Shimomura; Yasuo Kusunoki; Hiromi Rakugi; Yoshitaka Isaka; Yoshiharu Tsubakihara
Journal:  J Bone Miner Metab       Date:  2013-07-06       Impact factor: 2.626

Review 5.  Advances in bone imaging for osteoporosis.

Authors:  Judith E Adams
Journal:  Nat Rev Endocrinol       Date:  2013-01       Impact factor: 43.330

6.  Application of ex vivo micro-computed tomography for assessment of in vivo fluorescence and plain radiographic imaging for monitoring bone metastases and osteolytic lesions.

Authors:  Sanjay Tiwari; Christian Schem; Ann-Christin Lorenzen; Ole Kayser; Claas Wiese; Christian Graeff; Jaime Peña; Robert P Marshall; Martin Heller; Holger Kalthoff; Walter Jonat; Claus-C Glüer
Journal:  J Bone Miner Metab       Date:  2011-12-02       Impact factor: 2.626

7.  Hepatic magnetic resonance imaging with T2* mapping of ovariectomized rats: correlation between iron overload and postmenopausal osteoporosis.

Authors:  Lingshan Chen; Zhengqiu Zhu; Xingui Peng; Yuancheng Wang; Yaling Wang; Min Chen; Qi Wang; Jiyang Jin
Journal:  Eur Radiol       Date:  2014-04-28       Impact factor: 5.315

Review 8.  PET-MRI for the Study of Metabolic Bone Disease.

Authors:  James S Yoder; Feliks Kogan; Garry E Gold
Journal:  Curr Osteoporos Rep       Date:  2018-12       Impact factor: 5.096

9.  Applicability of ToF-SIMS for monitoring compositional changes in bone in a long-term animal model.

Authors:  Anja Henss; Marcus Rohnke; Thaqif El Khassawna; Parameswari Govindarajan; Gudrun Schlewitz; Christian Heiss; Juergen Janek
Journal:  J R Soc Interface       Date:  2013-07-17       Impact factor: 4.118

10.  Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength?

Authors:  Thomas Baum; Martin Gräbeldinger; Christoph Räth; Eduardo Grande Garcia; Rainer Burgkart; Janina M Patsch; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2013-04-20       Impact factor: 2.626

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