Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions

Odgaard, Anders; Gundersen, H.J.G.

doi:10.1016/8756-3282(93)90245-6

Cited by 627 publications

(441 citation statements)

References 36 publications

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“…(13)(14)(15)(16)(17) ConnD is a parameter of trabecular connectivity, where a higher value means greater connectivity. SMI is an index evaluating whether trabecular bone is rod-like or plate-like; a small value means a more plate-like structure.…”

Section: Measurementsmentioning

confidence: 99%

Relationship between microstructure and degree of mineralization in subchondral bone of osteoarthritis: A synchrotron radiation µCT study

Chiba

Nango²,

Kubota³

et al. 2012

Journal of Bone and Mineral Research

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We analyzed the microstructure and degree of mineralization of the subchondral trabecular bone in hip osteoarthritis (OA) using synchrotron radiation computed tomography (SRCT) to identify the relationship between bone structure and bone turnover. Subchondral bone samples were extracted from femoral heads of 10 terminal-staged hip OA patients. The SRCT scan was performed at 30 keV energy and 5.9 mm voxel size. Trabecular bone structure, bone cyst volume, and the degree of trabecular bone mineralization were measured, and correlations between bone structure and the degree of mineralization were analyzed. In addition, the trabecular bone was divided into the area immediately surrounding the bone cyst and the remaining area, and they were compared. The average cyst volume fraction in the whole region was 31.8%, and the bone volume fraction in the bone region was 55.6%. Cyst volume was the only structural parameter that had a significant correlation with the degree of mineralization. The degree of mineralization was diminished when the bone cyst was larger (r ¼ À0.81, p ¼ 0.004). The trabecular bone immediately surrounding the bone cyst had a lower degree of mineralization when compared with the remaining trabecular bone (p ¼ 0.008). In the bone sclerosis of OA subchondral bone, there are many large and small bone cysts, which are expected to play a significant part in the high bone turnover of OA. ß

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Section: Measurementsmentioning

confidence: 99%

Relationship between microstructure and degree of mineralization in subchondral bone of osteoarthritis: A synchrotron radiation µCT study

Chiba

Nango²,

Kubota³

et al. 2012

Journal of Bone and Mineral Research

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“…As described by Hildebrand and Rueggsegger (11), the SMI values were calculated from the tetrahedrons enclosed in the triangulated surface representation of the volume data. The distance transformation method, where maximal spheres are filled into the object of interest, was applied to obtain Tb.Th, Conn.D was calculated using the ConnEuler method as described in Odgaard et al (27) and DA was calculated as the ratio of the minor and major principal components of the mean intercept length ellipsoid determined using a projected surface method (7).…”

Section: Simulationsmentioning

confidence: 99%

“…A rod-like trabecular bone structure is characteristic of osteoporotic patients (11) and is strongly correlated with bone strength (23). The degree of trabecular connectivity, measured by Conn.D, also provides valuable information, since loss of connectivity has substantial impact on structural integrity and results in elevated fracture risk (4,9,27). DA is a measure of directional variation of a structure, calculated from a ratio of maximum to minimum eigenvalues of the mean intercept length tensor (7,10,26).…”

Section: Introductionmentioning

confidence: 99%

Resolution Dependence of the Non-metric Trabecular Structure Indices

Sode¹,

Burghardt²,

Nissenson³

et al. 2008

Bone

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Non-metric indices of topological features of trabecular bone structure, such as structure model index (SMI), connectivity density (Conn.D), and degree of anisotropy (DA), provide unique information relevant to bone quality. With recent technological advancement, in vivo assessment of these indices may be possible from images acquired using high-resolution imaging techniques such as highresolution peripheral quantitative computed tomography (HR-pQCT). However, more detailed investigation of the dependence of non-metric indices on spatial resolution is needed to determine their applicability.The purpose of this study was to determine whether these three non-metric indices are affected by the spatial resolution of CT images. First, the SMI, Conn.D, and DA were calculated for trabecular bone specimens with varying plate-like and rod-like structures from resampled μCT images across a range of spatial resolutions and compared to the reference values. To account for differences in size across different species and anatomical sites, the results are reported in normalized resolution units. Next, the impact of resolution on the non-metric indices for cores of human distal tibia trabecular bone from clinical HR-pQCT images was evaluated to determine the applicability of the non-metric indices to in vivo imaging.We found that the non-metric indices of trabecular bone structure were affected by spatial resolution of CT images. Particularly, the SMI deviated from the high-resolution μCT reference value depending on the structure type, whether plate-like or rod-like. Both Conn.D and DA were underestimated in the images obtained at an in vivo resolution. It is not trivial to determine absolute threshold for validity of these non-metric indices without considering a specific study design (e.g. relative resolution, the size of the treatment effect to detect, and specimen type). The results of this study provide an upper bound for the accuracy of the non-metric indices under limited resolution scenarios.

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“…Studies indicated a high agreement between μQCT (microCT) and pQCT in the volumetric BMD (b 1% in CV, and r 2 = 0.8), and the microarchitecture measures (coefficient of variation in 4% to 5%) [111,112,[116][117][118][119].…”

Section: Follow-up Time Using the Qctmentioning

confidence: 95%

Application of quantitative computed tomography for assessment of trabecular bone mineral density, microarchitecture and mechanical property

et al. 2016

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a b s t r a c t a r t i c l e i n f oOsteoporosis is a common metabolic bone disease, causing increased skeletal fragility characterized by a low bone mass and trabecular microarchitectural deterioration. Assessment of the bone mineral density (BMD) is the primary determinant of skeletal fragility. Computed tomography (CT)-based trabecular microarchitectural and mechanical assessments are important methods to evaluate the skeletal strength. In this review, we focus the feasibility of QCT BMD measurement using a calibration phantom or phantomless. The application of QCT could extend the bone mineral density assessment to all patients who underwent a heart, lung, whole-body, and as well as all routine clinical implications of CT scan.

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Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions

Cited by 627 publications

References 36 publications

Relationship between microstructure and degree of mineralization in subchondral bone of osteoarthritis: A synchrotron radiation µCT study

Relationship between microstructure and degree of mineralization in subchondral bone of osteoarthritis: A synchrotron radiation µCT study

Resolution Dependence of the Non-metric Trabecular Structure Indices

Application of quantitative computed tomography for assessment of trabecular bone mineral density, microarchitecture and mechanical property

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