Literature DB >> 11754235

Fractal analysis of lumbar vertebral cancellous bone architecture.

G P Feltrin1, V Macchi, C Saccavini, E Tosi, C Dus, A Fassina, A Parenti, R De Caro.   

Abstract

Osteoporosis is characterized by bone mineral density (BMD) decreasing and spongy bone rearrangement with consequent loss of elasticity and increased bone fragility. Quantitative computed tomography (QCT) quantifies bone mineral content but does not describe spongy architecture. Analysis of trabecular pattern may provide additional information to evaluate osteoporosis. The aim of this study was to determine whether the fractal analysis of the microradiography of lumbar vertebrae provides a reliable assessment of bone texture, which correlates with the BMD. The lumbar segment of the spine was removed from 22 cadavers with no history of back pain and examined with standard x-ray, traditional tomography, and quantitative computed tomography to measure BMD. The fractal dimension, which quantifies the image fractal complexity, was calculated on microradiographs of axial sections of the fourth lumbar vertebra to determine its characteristic spongy network. The relationship between the values of the BMD and those of the fractal dimension was evaluated by linear regression and a statistically significant correlation (R = 0.96) was found. These findings suggest that the application of fractal analysis to radiological analyses can provide valuable information on the trabecular pattern of vertebrae. Thus, fractal dimensions of trabecular bone structure should be considered as a supplement to BMD evaluation in the assessment of osteoporosis. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11754235     DOI: 10.1002/ca.1076

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  5 in total

Review 1.  Bone fractal analysis.

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Journal:  Curr Osteoporos Rep       Date:  2004-06       Impact factor: 5.096

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Review 3.  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

4.  Automated detection of proliferative retinopathy in clinical practice.

Authors:  Audrey Karperien; Herbert F Jelinek; Jorge J G Leandro; João V B Soares; Roberto M Cesar; Alan Luckie
Journal:  Clin Ophthalmol       Date:  2008-03

5.  Irisin prevents and restores bone loss and muscle atrophy in hind-limb suspended mice.

Authors:  Graziana Colaianni; Teresa Mongelli; Concetta Cuscito; Paolo Pignataro; Luciana Lippo; Giovanna Spiro; Angela Notarnicola; Ilenia Severi; Giovanni Passeri; Giorgio Mori; Giacomina Brunetti; Biagio Moretti; Umberto Tarantino; Silvia C Colucci; Janne E Reseland; Roberto Vettor; Saverio Cinti; Maria Grano
Journal:  Sci Rep       Date:  2017-06-06       Impact factor: 4.379

  5 in total

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