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37 results for “trabecular bone”
Trabecular bone – screw interaction. Micro-CT models and experimental push-in results.
<p>The dataset disclosed herein was employed to build the screw-bone interaction models, specifically for tasks related to screw push-in simulation.</p>
Trabecular bone datasets for SAXS Tensor Tomography
<p>Experimental data from SAXS tensor tomography measurement. Results from these data were first published in Liebi et al. (2015, https://doi.org/10.1038/nature16056, 2018, https://doi.org/10.1107/S205327331701614X). They have been repackaged for use with the software MUMOTT (https://doi.org/10.5281/zenodo.7919490)</p><p> </p><p>The data from the set called trabecular_bone_9.h5 was previously published on Zenodo (https://doi.org/10.5281/zenodo.1480589) as a supplement to Gao et al. (2019, https://doi.org/10.1107/S2053273318017394). In addition, the data from trabecular_bone_10.h5 was used in Guizar-Sicairos et al. (2020, https://doi.org/10.1107/S1600577520003860).</p>
3D Cortical Bone and Trabecular Bone Structure [synthetic data, simple, capsule shell model]
<p>Trabecular bone patterns are mimicked by generating and arranging "capsule shells" in a three-dimensional voxel by following probability distribution. Ground truth (gt) contains 4 labels (Background: 0, Cortical Bone: 11, Trabecular Bone: 21, Cavity: 31).</p>
MicroCT Trabecular Bone Samples for Trabecular Thickness and Separation Measures
<p>Trabecular bone samples from micro CT (Xradia scanner, isotropic voxel size: 17.59 um, image size: 100x100x100) that have been segmented. These images were used to measure mean trabecular bone thickness and separation using the ORMIR_XCT Python package. Results were compared to trabecular thickness and separation values obtained from the standard workflows using Image Processing Language (IPL, Scanco Medical). File naming is as follows:</p> <ul> <li>BMLPL_XXX_XXX_SEG_SUB.nii <ul> <li>Trabecular bone segmentation image.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_DT_THICK_CONVERT.nii <ul> <li>Distance transform for trabecular thickness obtained from IPL.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_dt_py.nii <ul> <li>Distance transform for trabecular thickness obtained from Python.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_DT_SP_CONVERT.nii <ul> <li>Distance transform for trabecular separation obtained from IPL.</li> </ul> </li> <li>BMLPL_XXX_XXX_SEG_SUB_inv_dt_py.nii <ul> <li>Distance transform for trabecular separation obtained from Python.</li> </ul> </li> </ul>
The roles of phylogeny, body size and substrate use in trabecular bone variation among Philippine 'earthworm mice' (Rodentia: Chrotomyini)
<p>Trabecular bone is modelled throughout an animal's life in response to its mechanical environment, but like other skeletal anatomy, it is also subject to evolutionary influences. Yet the relative strengths of factors that affect trabecular bone architecture are little studied. We investigated these influences across the Philippine endemic murine rodent clade Chrotomyini. These mammals have robustly established phylogenetic relationships, exhibit a range of well-documented substrate-use types, and have a body size range spanning several hundred grammes, making them ideal for a tractable study of extrinsic and intrinsic influences on trabecular bone morphology.</p> <p>We found slight differences in vertebral trabecular bone among different substrate-use categories, with more divergent characteristics in more ecologically specialized taxa. This suggests that the mechanical environment must be relatively extreme to affect trabecular bone morphology in small mammals. We also recovered allometric patterns that imply that selective pressures on bone may differ between small and large mammals. Finally, we found high intrataxonomic variation in trabecular bone morphology, but it is not clearly related to any variable we measured, and may represent a normal degree of variation in these animals rather than a functional trait. Future studies should address how this plasticity affects biomechanical properties and performance of the skeleton.</p>
Dataset: Segmentation of cortical bone, trabecular bone, and medullary pores from micro-CT images using 2D and 3D deep learning models
Open the record for dataset details and reuse information.
The roles of phylogeny, body size and substrate use in trabecular bone variation among Philippine ‘earthworm mice’ (Rodentia: Chrotomyini)
Open the record for dataset details and reuse information.
A novel methodological approach to simultaneously extract high quality total RNA and proteins from cortical and trabecular bone
<p>Molecular differences between cortical and trabecular bone, of relevance to understand the pathophysiological bases of bone diseases, can be determined only throughout effective isolation methods for RNA and proteins. Here we present a TRIzol-based method, combining bone pulverization and homogenization, to extract simultaneously total RNA and proteins from human cortical and trabecular bone from the same carrot. RNA integrity and purity were determined as the 260-to-280 nm and 260-to-230 nm absorbance- ratios, and 28S-to-18S rRNA ratio. Protein integrity and quality were evaluated by Comassie Blue staining. RT-qPCR and immunoblotting for bone-specific genes and proteins were performed to verify the suitability of the isolated material in downstream applications. 260-to-280 nm and 260-to-230 nm absorbance ratios were, on average, ≥1.8. Bands on agarose gel were consistent to an intact RNA, with mean 28S-to-18S ratios of1.68±0.35 and 1.88±0.10 for cortical and trabecular bone, respectively. Band patterns after Comassie Blue staining confirmed protein integrity. Successful gene and protein expression analysis, with relevant differences between the two compartments, highlighted the suitability of the material in downstream applications. The method here presented is appropriate and effective for the study of human bone.</p>
THE EFFECT OF BODY SIZE AND COMPOSITION ON LUMBAR SPINE TRABECULAR BONE SCORE IN MORPHOLOGICALLY DIVERSE SUBJECTS
<p><strong>Aim:</strong> The trabecular bone score (TBS) is a tool for assessing bone quality and health. Current TBS algorithm corrects for body mass index (BMI), as a proxy of regional tissue thickness. However, this approach fails to consider BMI inaccuracies due to individual differences in body stature, composition and somatotype. This study investigated the relationship between TBS and body size and composition in subjects with a normal BMI, but with large morphological diversity in body fatness and height.</p> <p><strong>Methods:</strong> Young male subjects (n=97; age 17.2±1.0 years), including ski jumpers (n=25), volleyball players (n=48) and non-athletes (controls n=39), were recruited. The TBS was determined from L1-L4 dual-energy X-ray absorptiometry (DXA) scans using TBSiNsight software.</p> <p><strong>Results:</strong> TBS correlated negatively with height and tissue thickness in the L1-L4 area in ski jumpers (r= -0.516 and r= -0.529), volleyball players (r= -0.525 and r= -0.436), and the total group (r=-0.559 and r=-0.463), respectively. Multiple regression analyses revealed that height, L1-L4 soft tissue thickness, fat mass and muscle mass were significant determinants of TBS (R<sup>2</sup>= 0.587, p<0.001). L1-L4 soft tissue thickness explained 27% and height 14% of the TBS variance.</p> <p><strong>Conclusion: </strong>The negative association of TBS and both features suggests that a very low L1-L4 tissue thickness may lead to overestimation of the TBS, while tall stature may have the opposite effect. It seems that the utility of the TBS as a skeletal assessment tool in lean and/or tall young male subjects could be improved if tissues thickness in the lumbar spine area and stature instead of BMI were considered in the algorithm.</p>
Bone Remodeling Around a Trabecular Titanium Cup in Total Hip Arthroplasty
ClinicalTrials.gov study NCT06287021. IPD Sharing: NO. Countries: 1. Publications: 14.
The Importance of Different Modularity of the Polyethylene Insert for Tibial Component Migration and Adaptive Bone Remodeling After Uncemented Total Knee Arthroplasty Using Trabecular Metal Technology
ClinicalTrials.gov study NCT01637051. IPD Sharing: Not stated. Countries: 1. Publications: 35.
Evaluation of the Effects of Smoking on Trabecular Bone Microarchitecture Using CBCT in Periodontal Disease
ClinicalTrials.gov study NCT06676358. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of GLP-1 Receptor Agonists on Trabecular Bone Score
ClinicalTrials.gov study NCT04964388. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Trabecular Metal™ Revision Hip Cup Using Bone Mineral Density (DEXA)
ClinicalTrials.gov study NCT01183260. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Alendronate Prevents Microarchitectural Deterioration of Trabecular Bone in Early Postmenopausal Women
ClinicalTrials.gov study NCT00504166. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Longitudinal Effects of Denosumab on Trabecular Bone Score and Femur Strength Index
ClinicalTrials.gov study NCT02435147. IPD Sharing: NO. Countries: 1. Publications: 0.
MiRNA Profiling of Whole Trabecular Bone: Identification of Osteoporosis-Related Changes in MiRNAs in Human Hip Bones
GEO Series GSE74209. Human alphaherpesvirus 2; Human betaherpesvirus 6B; Homo sapiens; Human alphaherpesvirus 1; Human betaherpesvirus 5; Betapolyomavirus hominis; human gammaherpesvirus 4; Betapolyomavirus macacae; Macacine alphaherpesvirus 1; Herpesvirus saimiri (strain 11); JC polyomavirus; Human immunodeficiency virus 1; Human gammaherpesvirus 8; Merkel cell polyomavirus. 12 samples. Type: Non-coding RNA profiling by array.
Relationship Between Tooth Decay and Trabecular Bone
ClinicalTrials.gov study NCT04608526. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of Bone Mineral Density and Trabecular Bone Score in Patients With Ankylosing Spondylitis
ClinicalTrials.gov study NCT04392596. IPD Sharing: NO. Countries: 1. Publications: 0.
Trabecular Bone Score in Multiple Sclerosis
ClinicalTrials.gov study NCT05811689. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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OpenNeuro
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