scholarly journals Influence of processing parameters on mechanical properties of a 3D‐printed trabecular bone microstructure

2019 ◽  
Vol 108 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Morteza Amini ◽  
Andreas Reisinger ◽  
Dieter H. Pahr
2010 ◽  
Vol 452-453 ◽  
pp. 297-300
Author(s):  
Kazuto Tanaka ◽  
Yusuke Tanimoto ◽  
Yusuke Kita ◽  
Shinichi Enoki ◽  
Tsutao Katayama

To establish clinical bone assessment for osteoporosis, it is necessary to evaluate not only bone density but also trabecular bone microstructure and mechanical properties of bone. Therefore relationship between the micro-structural parameters and the mechanical properties of the cancellous bone of bovine distal femur was investigated. Compression test was carried out using universal testing machine to measure Young’s modulus and the ultimate strength. X-ray CT was used to obtain 3D image of specimens. Bone trabecular orientation was obtained from fabric ellipse by the MIL (Mean Intercept Length) analysis. Young’s modulus and ultimate strength had a high correlation with bone density respectively; furthermore ultimate strength had a high correlation with Young’s modulus.


2018 ◽  
Vol 33 (11) ◽  
pp. 1948-1955 ◽  
Author(s):  
Ka Yee Cheuk ◽  
Xiao-Fang Wang ◽  
Ji Wang ◽  
Zhendong Zhang ◽  
Fiona Wai Ping Yu ◽  
...  

2020 ◽  
Vol 105 (4) ◽  
pp. e1344-e1357 ◽  
Author(s):  
Maria Nethander ◽  
Ulrika Pettersson-Kymmer ◽  
Liesbeth Vandenput ◽  
Mattias Lorentzon ◽  
Magnus Karlsson ◽  
...  

Abstract Context It is important to identify patients at highest risk of fractures. Objective To compare the separate and combined performances of bone-related genetic risk scores (GRSs) for prediction of forearm, hip and vertebral fractures separately, as well as of trabecular and cortical bone microstructure parameters separately. Design, Setting, and Participants Using 1103 single nucleotide polymorphisms (SNPs) independently associated with estimated bone mineral density of the heel (eBMD), we developed a weighted GRS for eBMD and determined its contribution to fracture prediction beyond 2 previously developed GRSs for femur neck BMD (49 SNPs) and lumbar spine BMD (48 SNPs). Associations between these GRSs and forearm (ncases = 1020; ncontrols = 2838), hip (ncases = 1123; ncontrols = 2630) and vertebral (ncases = 288; ncontrols = 1187) fractures were evaluated in 3 Swedish cohorts. Associations between the GRSs and trabecular and cortical bone microstructure parameters (n = 426) were evaluated in the MrOS Sweden cohort. Results We found that eBMDGRS was the only significant independent predictor of forearm and vertebral fractures while both FN-BMDGRS and eBMDGRS were significant independent predictors of hip fractures. The eBMDGRS was the major GRS contributing to prediction of trabecular bone microstructure parameters while both FN-BMDGRS and eBMDGRS contributed information for prediction of cortical bone microstructure parameters. Conclusions The eBMDGRS independently predicts forearm and vertebral fractures while both FN-BMDGRS and eBMDGRS contribute independent information for prediction of hip fractures. We propose that eBMDGRS captures unique information about trabecular bone microstructure useful for prediction of forearm and vertebral fractures. These findings may facilitate personalized medicine to predict site-specific fractures as well as cortical and trabecular bone microstructure separately.


2001 ◽  
Vol 19 (3-4) ◽  
pp. 571 ◽  
Author(s):  
S Capuani ◽  
F.M Alessandri ◽  
B Maraviglia ◽  
A Bifone

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