Literature DB >> 11745685

Fractal dimension of trabecular bone: comparison of three histomorphometric computed techniques for measuring the architectural two-dimensional complexity.

D Chappard1, E Legrand, B Haettich, G Chalès, B Auvinet, J P Eschard, J P Hamelin, M F Baslé, M Audran.   

Abstract

Trabecular bone has been reported as having two-dimensional (2-D) fractal characteristics at the histological level, a finding correlated with biomechanical properties. However, several fractal dimensions (D) are known and computational ways to obtain them vary considerably. This study compared three algorithms on the same series of bone biopsies, to obtain the Kolmogorov, Minkowski-Bouligand, and mass-radius fractal dimensions. The relationships with histomorphometric descriptors of the 2-D trabecular architecture were investigated. Bone biopsies were obtained from 148 osteoporotic male patients. Bone volume (BV/TV), trabecular characteristics (Tb.N, Tb.Sp, Tb.Th), strut analysis, star volumes (marrow spaces and trabeculae), inter-connectivity index, and Euler-Poincaré number were computed. The box-counting method was used to obtain the Kolmogorov dimension (D(k)), the dilatation method for the Minkowski-Bouligand dimension (D(MB)), and the sandbox for the mass-radius dimension (D(MR)) and lacunarity (L). Logarithmic relationships were observed between BV/TV and the fractal dimensions. The best correlation was obtained with D(MR) and the lowest with D(MB). Lacunarity was correlated with descriptors of the marrow cavities (ICI, star volume, Tb.Sp). Linear relationships were observed among the three fractal techniques which appeared highly correlated. A cluster analysis of all histomorphometric parameters provided a tree with three groups of descriptors: for trabeculae (Tb.Th, strut); for marrow cavities (Euler, ICI, Tb.Sp, star volume, L); and for the complexity of the network (Tb.N and the three D's). A sole fractal dimension cannot be used instead of the classic 2-D descriptors of architecture; D rather reflects the complexity of branching trabeculae. Computation time is also an important determinant when choosing one of these methods. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11745685     DOI: 10.1002/path.970

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  12 in total

1.  [Systematic qualitative histology of enossal implants with anodically oxidised surfaces].

Authors:  B Al-Nawas; K A Grötz; H Goetz; M Feil; H Duschner; W Wagner
Journal:  Mund Kiefer Gesichtschir       Date:  2006-07

2.  Quantification of the roles of trabecular microarchitecture and trabecular type in determining the elastic modulus of human trabecular bone.

Authors:  Xiaowei S Liu; Paul Sajda; Punam K Saha; Felix W Wehrli; X Edward Guo
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

Review 3.  New laboratory tools in the assessment of bone quality.

Authors:  D Chappard; M F Baslé; E Legrand; M Audran
Journal:  Osteoporos Int       Date:  2011-02-24       Impact factor: 4.507

4.  A network modeling approach for the spatial distribution and structure of bone mineral content.

Authors:  Hui Li; Aidong Zhang; Lawrence Bone; Cathy Buyea; Murali Ramanathan
Journal:  AAPS J       Date:  2014-03-27       Impact factor: 4.009

Review 5.  Fractal lacunarity of trabecular bone and magnetic resonance imaging: New perspectives for osteoporotic fracture risk assessment.

Authors:  Annamaria Zaia
Journal:  World J Orthop       Date:  2015-03-18

6.  Maternal high-fat diet: effects on offspring bone structure.

Authors:  S A Lanham; C Roberts; T Hollingworth; R Sreekumar; M M Elahi; F R Cagampang; M A Hanson; R O C Oreffo
Journal:  Osteoporos Int       Date:  2009-11-21       Impact factor: 4.507

7.  Characterization of trabecular bone density with ultra-short echo-time MRI at 1.5, 3.0 and 7.0 T--comparison with micro-computed tomography.

Authors:  Moritz C Wurnig; Maurizio Calcagni; David Kenkel; Magdalena Vich; Markus Weiger; Gustav Andreisek; Felix W Wehrli; Andreas Boss
Journal:  NMR Biomed       Date:  2014-08-04       Impact factor: 4.044

8.  Effect of micro-computed tomography reconstruction protocols on bone fractal dimension analysis.

Authors:  Hugo Gaêta-Araujo; Nicolly Oliveira-Santos; Danieli Moura Brasil; Eduarda Helena Leandro do Nascimento; Daniela Verardi Madlum; Francisco Haiter-Neto; Christiano de Oliveira-Santos
Journal:  Dentomaxillofac Radiol       Date:  2019-08-13       Impact factor: 2.419

9.  First meeting on bone quality, Abbaye des Vaux de Cernay, France, 15-16 June 2006: Bone architecture.

Authors: 
Journal:  Osteoporos Int       Date:  2007-06       Impact factor: 5.071

10.  3D Porous Architecture of Stacks of β-TCP Granules Compared with That of Trabecular Bone: A microCT, Vector Analysis, and Compression Study.

Authors:  Daniel Chappard; Lisa Terranova; Romain Mallet; Philippe Mercier
Journal:  Front Endocrinol (Lausanne)       Date:  2015-10-12       Impact factor: 5.555

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