Fractal analysis of bone texture: a screening tool for stress fracture risk?

Prouteau, Stéphanie; Ducher, Ga͏ële; Nanyan, Pierre; Lemineur, G.; Benhamou, Laurent; Courteix, Daniel

doi:10.1111/j.1365-2362.2004.01300.x

Cited by 51 publications

(27 citation statements)

References 32 publications

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“…These results have been confirmed by subsequent studies Majumdar et al, 1997;Majumdar et al, 2000;Prouteau, 2004). Clinical results have also pointed out the strong potential of the H parameter of fBm in quantifying osteoporosis on bone X-ray radiographs (Pothuaud et al, 1998;Lespessailles et al, 1998).…”

Section: Introductionsupporting

confidence: 77%

Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection

Jennane

Harba

Lemineur

et al. 2007

Medical Image Analysis

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It has been shown that the analysis of two dimensional (2D) bone X-ray images based on the fractional Brownian motion (fBm) model is a good indicator for quantifying alterations in the three dimensional (3D) bone micro-architecture. However, this 2D measurement is not a direct assessment of the 3D bone properties. In this paper, we first show that S 3D , the self-similarity parameter of 3D fBm, is linked to S 2D , that of its 2D projection, by S 3D = S 2D -0.5. In the light of this theoretical result, we have experimentally examined whether this relation holds for trabecular bone. Twenty one specimens of trabecular bone were derived from frozen human femoral heads. They were digitized using a high resolution -CT. Their projections were simulated numerically by summing the data in the three orthogonal directions and both 3D and 2D self-similarity parameters were measured. Results show that the self-similarity of the 3D bone volumes and that of their projections are linked by the previous equation. This demonstrates that a simple projection provides 3D information about the bone structure. This information can be a valuable adjunct to the bone mineral density for the early diagnosis of osteoporosis.

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Section: Introductionsupporting

confidence: 77%

Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection

Jennane

Harba

Lemineur

et al. 2007

Medical Image Analysis

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“…While BMD can be readily measured by dual-energy X-ray absorptiometry (DXA), the technologies used to determine skeletal microarchitecture, such as histomorphometric analysis and micro-computed tomography (µCT) of the transiliac crest bone biopsy (2,3), high resolution peripheral quantitative computed tomography (HRpQCT) (4), and magnetic resonance imaging (MRI) (5) are not routinely available. To this end, and based upon previous studies using 2D X-ray images to estimate bone microstructure (6)(7)(8), the trabecular bone score (TBS), a new approach for assessing skeletal microarchitecture from 2D DXA images (9)(10)(11), has been developed.…”

Section: Introductionmentioning

confidence: 99%

Trabecular bone score: perspectives of an imaging technology coming of age

Silva

Bilezikian

2014

Arq Bras Endocrinol Metab

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The trabecular bone score (TBS) is a new method to describe skeletal microarchitecture from the dual energy X-ray absorptiometry (DXA) image of the lumbar spine. While TBS is not a direct physical measurement of trabecular microarchitecture, it correlates with micro-computed tomography (µCT) measures of bone volume fraction, connectivity density, trabecular number, and trabecular separation, and with vertebral mechanical behavior in ex vivo studies. In human subjects, TBS has been shown to be associated with trabecular microarchitecture and bone strength by high resolution peripheral quantitative computed tomography (HRpQCT). Cross--sectional and prospective studies, involving a large number of subjects, have both shown that TBS is associated with vertebral, femoral neck, and other types of osteoporotic fractures in postmenopausal women. Data in men, while much less extensive, show similar findings. TBS is also associated with fragility fractures in subjects with secondary causes of osteoporosis, and preliminary data suggest that TBS might improve fracture prediction when incorporated in the fracture risk assessment system known as FRAX. In this article, we review recent advances that have helped to establish this new imaging technology. Arq Bras Endocrinol Metab. 2014;58(5):493-503 Keywords Trabecular bone score; osteoporosis; fracture risk; bone mineral density; microarchitecture RESUMO TBS (do inglês, "trabecular bone score") é um novo método que estima a microarquitetura óssea a partir de uma imagem de densitometria óssea (DXA) da coluna lombar. Apesar de o TBS não ser uma medida física direta da microarquitetura trabecular, ele correlaciona-se com o volume ósseo, densidade da conectividade trabecular, número de trabéculas e separação trabecular medidos por microtomografia computadorizada (µCT), e com medidas mecânicas da resistência óssea vertebral em estudos ex vivo. Estudos em humanos confirmaram que o TBS associa-se a microarquitetura trabecular e resistência óssea medidas por tomografia computadorizada quantitativa periférica de alta resolução (HRpQCT). Estudos transversais e prospectivos, envolvendo um grande número de indivíduos, mostraram que o TBS é associado com fratura vertebral, de colo de fêmur e com outros tipos de fraturas osteoporóticas em mulheres na pós-menopausa. Dados em homens, apesar de escassos, mostram resultados semelhantes. Além disso, o TBS foi associado a fraturas por fragilidade em indivíduos com diversas causas secundárias de osteoporose e, dados preliminares, sugerem que o uso do TBS pode melhorar a previsão de fratura quando incorporado ao sistema de avaliação de risco de fratura (FRAX). Este artigo faz uma revisão de avanços recentes que têm ajudado a estabelecer esse novo mé-todo de imagem. Arq Bras Endocrinol Metab. 2014;58(5):493-503 Descritores

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“…Furthermore, the rapid progress in the development of new high-resolution computer tomography (CT) scanners facilitates investigations of the bone micro-architecture. Different approaches using methods coming from nonlinear dynamics have been recently proposed in order to evaluate structural changes [14,15,16,17] or even to predict fracture risks or biomechanical properties [18,19,20]. These approaches use, e. g., scaling properties of bone micro-structure or symbol-encoding of the bone architecture.…”

Section: Application To Pqct Data Of Proximal Tibiamentioning

confidence: 99%