Three-Dimensional (3D) Microarchitecture Correlations with 2D Projection Image Gray-Level Variations Assessed by Trabecular Bone Score Using High-Resolution Computed Tomographic Acquisitions: Effects of Resolution and Noise

Winzenrieth, Renaud; Michelet, Franck; Hans, Didier

doi:10.1016/j.jocd.2012.05.001

Cited by 172 publications

(144 citation statements)

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“…(32) Correlations remained significant even at low resolution. (33) Using TBS accurately differentiated between two 3D samples in which the amount of bone was identical, but characteristics differed with regard to TbN, TbTh, or TbSp. (18) More recently, Roux and colleagues (32) compared the TBS with microarchitectural parameters measured using mCT with a 35-mm isotropic resolution on lumbar vertebrae (L 3 ) freshly harvested from 16 human donors.…”

Section: Discussionmentioning

confidence: 88%

Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: A three-year study

Popp

Guler

Lamy

et al. 2012

Journal of Bone and Mineral Research

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The trabecular bone score (TBS) is an index of bone microarchitectural texture calculated from anteroposterior dual-energy X-ray absorptiometry (DXA) scans of the lumbar spine (LS) that predicts fracture risk, independent of bone mineral density (BMD). The aim of this study was to compare the effects of yearly intravenous zoledronate (ZOL) versus placebo (PLB) on LS BMD and TBS in postmenopausal women with osteoporosis. Changes in TBS were assessed in the subset of 107 patients recruited at the Department of Osteoporosis of the University Hospital of Berne, Switzerland, who were included in the HORIZON trial. All subjects received adequate calcium and vitamin D3. In these patients randomly assigned to either ZOL (n ¼ 54) or PLB (n ¼ 53) for 3 years, BMD was measured by DXA and TBS assessed by TBS iNsight (v1.9) at baseline and 6, 12, 24, and 36 months after treatment initiation. Baseline characteristics (mean AE SD) were similar between groups in terms of age, 76.8 AE 5.0 years; body mass index (BMI), 24.5 AE 3.6 kg/m 2 ; TBS, 1.178 AE 0.1 but for LS T-score (ZOL-2.9 AE 1.5 versus PLB-2.1 AE 1.5). Changes in LS BMD were significantly greater with ZOL than with PLB at all time points (p < 0.0001 for all), reaching þ9.58% versus þ1.38% at month 36. Change in TBS was significantly greater with ZOL than with PLB as of month 24, reaching þ1.41 versus-0.49% at month 36; p ¼ 0.031, respectively. LS BMD and TBS were weakly correlated (r ¼ 0.20) and there were no correlations between changes in BMD and TBS from baseline at any visit. In postmenopausal women with osteoporosis, once-yearly intravenous ZOL therapy significantly increased LS BMD relative to PLB over 3 years and TBS as of 2 years. ß

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Section: Discussionmentioning

confidence: 88%

Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: A three-year study

Popp

Guler

Lamy

et al. 2012

Journal of Bone and Mineral Research

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“…TBS results derived from both simulated 2D-projection µCT images and LS DXA images were compared, in ex vivo studies, with 3D indices of bone microarchitecture assessed by µCT (9)(10)(11)18). In general, TBS directly correlates with µCT measures of bone volume fraction (BV/TV) (10,11,18), connectivity density (Conn. D) (10,11), and trabecular number (Tb.N) (10,11), and inversely associated with µCT indices of trabecular separation (Tb.Sp) (10,11) and structural model index (SMI) (18).…”

Section: Association Of Tbs With 3d Measurements Of Trabecular Microsmentioning

confidence: 99%

“…In general, TBS directly correlates with µCT measures of bone volume fraction (BV/TV) (10,11,18), connectivity density (Conn. D) (10,11), and trabecular number (Tb.N) (10,11), and inversely associated with µCT indices of trabecular separation (Tb.Sp) (10,11) and structural model index (SMI) (18). Surprisingly, TBS was either not associated (18) or negatively correlated (11) with trabecular thickness (Tb.Th).…”

Section: Association Of Tbs With 3d Measurements Of Trabecular Microsmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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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“…Third, some authors argue that it is not necessary to perform measurements in 3D, since features extracted from 3D and 2D projections have been shown correlated [36,94]. However, this point requires more extense validation with different features and skeletal sites.…”

Section: Discussionmentioning

confidence: 99%

Techniques for Computing Fabric Tensors: A Review

Moreno

Borga

Smedby

2014

Mathematics and Visualization

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The aim of this chapter is to review different approaches that have been proposed to compute fabric tensors with emphasis on trabecular bone research. Fabric tensors aim at modeling through tensors both anisotropy and orientation of a material with respect to another one. Fabric tensors are widely used in fields such as trabecular bone research, mechanics of materials and geology. These tensors can be seen as semi-global measurements since they are computed in relatively large neighborhoods, which are assumed quasi-homogeneous. Many methods have been proposed to compute fabric tensors. We propose to classify fabric tensors into two categories: mechanics-based and morphology-based. The former computes fabric tensors from mechanical simulations, while the latter computes them by analyzing the morphology of the materials. In addition to pointing out advantages and drawbacks for each method, current trends and challenges in this field are also summarized.

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Three-Dimensional (3D) Microarchitecture Correlations with 2D Projection Image Gray-Level Variations Assessed by Trabecular Bone Score Using High-Resolution Computed Tomographic Acquisitions: Effects of Resolution and Noise

Cited by 172 publications

References 13 publications

Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: A three-year study

Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: A three-year study

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

Techniques for Computing Fabric Tensors: A Review

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