Literature DB >> 25512855

Characterization of knee osteoarthritis-related changes in trabecular bone using texture parameters at various levels of spatial resolution-a simulation study.

Torsten Lowitz1, Oleg Museyko1, Valerie Bousson2, Willi A Kalender1, Jean Denis Laredo2, Klaus Engelke1.   

Abstract

Articular cartilage and subchondral bone are the key tissues in osteoarthritis (OA). The role of the cancellous bone increasingly attracts attention in OA research. Because of its fast adaptation to changes in the loading distribution across joints, its quantification is expected to improve the diagnosis and monitoring of OA. In this study, we simulated OA progression-related changes of trabecular structure in a series of digital bone models and then characterized the potential of texture parameters and bone mineral density (BMD) as surrogate measures to quantify trabecular bone structure. Five texture parameters were studied: entropy, global and local inhomogeneity, anisotropy and variogram slope. Their dependence on OA relevant structural changes was investigated for three spatial resolutions typically used in micro computed tomography (CT; 10 μm), high-resolution peripheral quantitative CT (HR-pQCT) (90 μm) and clinical whole-body CT equipment (250 μm). At all resolutions, OA-related changes in trabecular bone architecture can be quantified using a specific (resolution dependent) combination of three texture parameters. BMD alone is inadequate for this purpose but if available reduces the required texture parameter combination to anisotropy and global inhomogeneity. The results are summarized in a comprehensive analysis guide for the detection of structural changes in OA knees. In conclusion, texture parameters can be used to characterize trabecular bone architecture even at spatial resolutions below the dimensions of a single trabecula and are essential for a detailed classification of relevant OA changes that cannot be achieved with a measurement of BMD alone.

Entities:  

Year:  2014        PMID: 25512855      PMCID: PMC4260445          DOI: 10.1038/bonekey.2014.110

Source DB:  PubMed          Journal:  Bonekey Rep        ISSN: 2047-6396


  45 in total

1.  Direct three-dimensional morphometric analysis of human cancellous bone: microstructural data from spine, femur, iliac crest, and calcaneus.

Authors:  T Hildebrand; A Laib; R Müller; J Dequeker; P Rüegsegger
Journal:  J Bone Miner Res       Date:  1999-07       Impact factor: 6.741

2.  Fractal signature and lacunarity in the measurement of the texture of trabecular bone in clinical CT images.

Authors:  G Dougherty; G M Henebry
Journal:  Med Eng Phys       Date:  2001-07       Impact factor: 2.242

3.  A comparison of the texture of computed tomography and projection radiography images of vertebral trabecular bone using fractal signature and lacunarity.

Authors:  G Dougherty
Journal:  Med Eng Phys       Date:  2001-06       Impact factor: 2.242

4.  Early morphometric and anisotropic change in periarticular cancellous bone in a model of experimental knee osteoarthritis quantified using microcomputed tomography.

Authors:  S K Boyd; R Müller; J R Matyas; G R Wohl; R F Zernicke
Journal:  Clin Biomech (Bristol, Avon)       Date:  2000-10       Impact factor: 2.063

5.  Fractal analysis of trabecular bone texture on calcaneus radiographs: effects of age, time since menopause and hormone replacement therapy.

Authors:  E Lespessailles; S Poupon; R Niamane; S Loiseau-Peres; G Derommelaere; R Harba; D Courteix; C L Benhamou
Journal:  Osteoporos Int       Date:  2002-05       Impact factor: 4.507

6.  Changes in the three-dimensional microstructure of human tibial cancellous bone in early osteoarthritis.

Authors:  M Ding; A Odgaard; I Hvid
Journal:  J Bone Joint Surg Br       Date:  2003-08

7.  Magnetic resonance imaging of normal and osteoarthritic trabecular bone structure in the human knee.

Authors:  Olivier Beuf; Srinka Ghosh; David C Newitt; Thomas M Link; Lynne Steinbach; Michael Ries; Nancy Lane; Sharmila Majumdar
Journal:  Arthritis Rheum       Date:  2002-02

8.  Fractal analysis of radiographic trabecular bone texture and bone mineral density: two complementary parameters related to osteoporotic fractures.

Authors:  C L Benhamou; S Poupon; E Lespessailles; S Loiseau; R Jennane; V Siroux; W Ohley; L Pothuaud
Journal:  J Bone Miner Res       Date:  2001-04       Impact factor: 6.741

9.  Changes in articular cartilage and subchondral bone histomorphometry in osteoarthritic knee joints in humans.

Authors:  Dragica Bobinac; Josip Spanjol; Sanja Zoricic; Ivana Maric
Journal:  Bone       Date:  2003-03       Impact factor: 4.398

10.  Magnetic resonance evaluation of the interrelationship between articular cartilage and trabecular bone of the osteoarthritic knee.

Authors:  C T Lindsey; A Narasimhan; J M Adolfo; Hua Jin; L S Steinbach; T Link; M Ries; S Majumdar
Journal:  Osteoarthritis Cartilage       Date:  2004-02       Impact factor: 6.576

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  3 in total

1.  Micro-CT and FE-SEM enamel analyses of calcium-based agent application after bleaching.

Authors:  Mauricio Neves Gomes; Flávia Pires Rodrigues; Nick Silikas; Carlos Eduardo Francci
Journal:  Clin Oral Investig       Date:  2017-07-08       Impact factor: 3.573

2.  Advanced Knee Structure Analysis (AKSA): a comparison of bone mineral density and trabecular texture measurements using computed tomography and high-resolution peripheral quantitative computed tomography of human knee cadavers.

Authors:  Torsten Lowitz; Oleg Museyko; Valérie Bousson; Christine Chappard; Liess Laouisset; Jean-Denis Laredo; Klaus Engelke
Journal:  Arthritis Res Ther       Date:  2017-01-10       Impact factor: 5.156

3.  Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis.

Authors:  Livija Jakaite; Jiří Hladůvka; Sergey Minaev; Aziz Ambia; Wojtek Krzanowski; Vitaly Schetinin
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

  3 in total

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