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Tytuł artykułu

Investigation of statistical relationships between quantities describing bone architecture, its fractal dimensions and mechanical properties

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents linear, logarithmic and exponential regression tabecular bone indices, fractal dimensions and strength. The analysis of the above parameters was supported by determining non-parametric correlation coefficients: Spearman’s ń, gamma and Kendall’s ô. The principal components’ analysis (PCA) was also performed in order to reduce the number of indices describing the variance in the data set. The analysis showed the most independent indices: lacunarity (ëm, ëmin, ëmax), BMD, Conn.D., SMI, DA, ńA and age.
Rocznik
Strony
69--77
Opis fizyczny
Bibliogr. 29 poz., il.
Twórcy
autor
Bibliografia
  • [1] DRAPER N.R., SMITH H., Applied Regression Analysis, John Wiley, 1998, 3 ed.
  • [2] HILDEBRAND T., RÜEGSEGGER P., Quantification of bone microarchitecture with the structure model index, Comp. Meth. Biomech. Biomed. Eng., 1997, 1, 1, 15-23.
  • [3] HILDEBRAND T., LAIB A., MÜLLER R., DEQUECKER J., RÜEGSEGGER P., Direct 3D morphometric analysis of human cancellous bone: microstructural data from spine, femur, iliac crest and calcaneus, J. Bone Miner. Res., July 1999, 14, 7, 1167-74
  • [4] KORONACKI J., MIELNICZUK J., Statystyka, WN-T, Warszawa, 2004.
  • [5] KOWALCZYK T., PLESZCZYŃSKA E., RULAND F., Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations, Berlin, Heidelberg, New York, Springer Verlag, 2004, series: Studies in Fuzziness and Soft Computing, Vol. 151.
  • [6] KRZANOWSKI W.J., Principles of Multivariate Analysis: A User's Perspective, Oxford University Press, 2000.
  • [7] MAZURKIEWICZ A., The investigation of influence of properties of selected structure on its strength as element diagnosis of capacity of bone, PhD Thesis, University of Technologyand Life Sciences, Bydgoszcz, 2007.
  • [8] PARFITT M., DREZNER M., Bone histomorphometry: Standarization of nomenclature, symbols and units, J. Bone Miner. Res., 1987, 2, 6, 595-610.
  • [9] SALKIND N.J., Encyclopedia of Measurement and Statistics, H. ABDI, Kendall rank correlation, Thousand Oaks (CA), 2007.
  • [10] Statsoft, Statistica Electronic Manual.
  • [11] ZIELIŃSKI R., Tablice statystyczne, PWN, Warszawa, 1990.
  • [12] KARPERIEN A., FracLac for ImageJ, version 2.5. http://rsb.info.nih.gov/ij/plugins/fraclac/FLHelp/Introduction.htm., 1999-2007.
  • [13] RASBAND W.S., ImageJ, U.S. National Institutes of Health, Bethesda, Maryland, USA, http://rsb.info.nih.gov/ij/, 1997-2009.
  • [14] ABRAMOFF M.D., MAGELHAES P.J., RAM S.J., Image Processing with ImageJ, Biophotonics International, 2004, Vol. 11, issue 7, 36-42.
  • [15] GERAETS W.G., van der STELT P.F., Fractal properties of bone, Dentomaxillofac. Radiol., 2000, May, 29(3), 144-53.
  • [16] UCHIYAMA T., TANIZAWA T., MURAMATSU H., ENDO N., TAKAHASHI H.E., HARA T., Three-dimensional microstructural analysis of human trabecular bone in relation to its mechanical properties, Bone, 1999 Oct., 25(4), 487-91.
  • [17] HAIRE T.J., HODGSKINSON R., GANNEY P.S., LANGTON C.M., A comparison of porosity, fabric and fractal dimension as predictors of the Young's modulus of equine cancellous bone, Med. Eng. Phys., 1998 Nov., 20(8), 588-93.
  • [18] AROLA D., BAJAJ D., IVANCIK J., MAJD H., HANG D., Fatigue of biomaterials: hard tissues, International Journal of Fatigue, 2010, 32, 1400-1412.
  • [19] POTHUAUD L., Van RIETBERGEN B., MOSEKILDE L., BEUF O., LEVITZ P., BENHAMOU C.L., MAJUMDAR S., Combination of topological parameters and bone volume fraction better predicts the mechanical properties of trabecular bone, Journal of Biomechanics, 2002, 35, 1091-1099.
  • [20] HILDEBRAND T., LAIB A., MÜLLER R., DEQUEKER J., RÜEGSEGGER P., Direct three-dimensional morphometric analysis of human cancellous bone: microstructural data from spine, femur, iliac crest and calcaneus, Journal of Bone and Mineral Research, 1999, Vol. 14, No. 7, 1167-1173.
  • [21] FROST H.M., A 2003 update of bone physiology and Wolff's law for clinicians, Angle Orthodontist, 2004, Vol. 74, No. 1, 3-15.
  • [22] LEE T.C., O'BRIEN F.J., GUNNLAUGSSON T., PARKESH R., TAYLOR D., Microdamage and bone mechanobiology, Technology and Health Care, 2006, Vol. 14, 359-365.
  • [23] PARFITT A.M., Bone age, mineral density, and fatigue damage, Calcif. Tissue Int., 1993, Vol. 53, Suppl. 1, 82-86.
  • [24] SCHOENAU E., FRICKE O., Mechanical influences on bone development in children, European Journal of Endocrinology, 2008, Vol. 159, 27-31.
  • [25] BIEWENER A.A., Safety factors in bone strength, Calcif. Tissue Int., 1993, Vol. 53, Suppl. 1, 68-74.
  • [26] COMPSTON J., Bone quality: what is and how is it measured? Arq. Bras. Endocrinol. Metab., 2006, Vol. 50, No. 4, 579-585.
  • [27] HAZENBERG J.G., TAYLOR D., LEE T.C., The role of osteocytes and bone microstructure in preventing osteoporotic fractures, Osteoporos Int., 2007, Vol. 18, 1-8.
  • [28] MILLER Z., FUCHS M.B., Effect of trabecular curvature on the stiffness of trabecular bone, Journal of Biomechanics, 2005, Vol. 38, 1855-1864.
  • [29] DIEDERICHS G., LINK T.M., KENTENICH M., SCHWIEGER K., HUBER M.B., BURGHARDT A.J., MAJUMDAR S., ROGALLA P., ISSEVER A.S., Assessment of trabecular bone strcture of the calcaneus using multi-detector CT: correlation with microCT and biomechanical testing, Bone, 2009, Vol. 44, 976-983.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPBA-0009-0042
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