scholarly journals Microstructure analysis of subchondral trabecular bone in hip osteoarthritis - ex-vivo HR-pQCT study -

2012 ◽  
Vol 20 ◽  
pp. S223
Author(s):  
K. Chiba ◽  
A. Burghardt ◽  
S. Majumdar
2013 ◽  
Vol 2 (10) ◽  
pp. 1361-1369 ◽  
Author(s):  
Julia Schnieders ◽  
Uwe Gbureck ◽  
Oliver Germershaus ◽  
Marita Kratz ◽  
David B. Jones ◽  
...  

2015 ◽  
Vol 35 (4) ◽  
pp. 535-544 ◽  
Author(s):  
Franco Marinozzi ◽  
Fabiano Bini ◽  
Annalisa De Paolis ◽  
Ramona De Luca ◽  
Andrea Marinozzi

2012 ◽  
Vol 730-732 ◽  
pp. 3-8 ◽  
Author(s):  
I. Aleixo ◽  
A.C. Vale ◽  
M. Lúcio ◽  
P.M. Amaral ◽  
L.G. Rosa ◽  
...  

We addressed the importance of defining a mechanical testing methodology for the compression of human trabecular bone specimens. In fact, currently there are several protocols to test trabecular bone, but a single, standard and validate method has not been accepted yet. In our work, human femoral epiphyses collected from patients with osteoporosis (fragility fractures) and hip osteoarthritis, submitted to total hip replacement surgery, were used. The aims of our work were to develop a mechanical testing methodology for the compression of trabecular bone specimens taking into account the optimization of bone extrinsic and intrinsic variables, in order to establish a patient bone sample database with clinical, structural and mechanical information. Extrinsic variables, such as the effect of specimen preparation, with particular focus on the dimensions of test specimens, and others associated with the compression test, such as the method employed to determine specimen deformation, and hence strain, were evaluated. Also, a new device used to withhold the specimens was developed and tested by the present authors. Although each specimen showed a unique behaviour, even when comparing compression curves between patients from the same disease group, implicating additional complexity and difficulty in the data analysis, the authors managed to assemble the results in two groups related with a possible difference in the deformation mechanisms occurring after yielding.


2019 ◽  
Vol 48 (2) ◽  
pp. 595-605 ◽  
Author(s):  
S. S. Karhula ◽  
M. A. J. Finnilä ◽  
S. J. O. Rytky ◽  
D. M. Cooper ◽  
J. Thevenot ◽  
...  

Abstract The aim of this study was to quantify sub-resolution trabecular bone morphometrics, which are also related to osteoarthritis (OA), from clinical resolution cone beam computed tomography (CBCT). Samples (n = 53) were harvested from human tibiae (N = 4) and femora (N = 7). Grey-level co-occurrence matrix (GLCM) texture and histogram-based parameters were calculated from CBCT imaged trabecular bone data, and compared with the morphometric parameters quantified from micro-computed tomography. As a reference for OA severity, histological sections were subjected to OARSI histopathological grading. GLCM and histogram parameters were correlated to bone morphometrics and OARSI individually. Furthermore, a statistical model of combined GLCM/histogram parameters was generated to estimate the bone morphometrics. Several individual histogram and GLCM parameters had strong associations with various bone morphometrics (|r| > 0.7). The most prominent correlation was observed between the histogram mean and bone volume fraction (r = 0.907). The statistical model combining GLCM and histogram-parameters resulted in even better association with bone volume fraction determined from CBCT data (adjusted R2 change = 0.047). Histopathology showed mainly moderate associations with bone morphometrics (|r| > 0.4). In conclusion, we demonstrated that GLCM- and histogram-based parameters from CBCT imaged trabecular bone (ex vivo) are associated with sub-resolution morphometrics. Our results suggest that sub-resolution morphometrics can be estimated from clinical CBCT images, associations becoming even stronger when combining histogram and GLCM-based parameters.


2010 ◽  
Vol 18 (10) ◽  
pp. 1337-1344 ◽  
Author(s):  
D.D. Kumarasinghe ◽  
E. Perilli ◽  
H. Tsangari ◽  
L. Truong ◽  
J.S. Kuliwaba ◽  
...  

Measurement ◽  
2016 ◽  
Vol 87 ◽  
pp. 51-61 ◽  
Author(s):  
Tommaso De Marco ◽  
Marco Peccarisi ◽  
Francesco Conversano ◽  
Antonio Greco ◽  
Samanta Chiozzi ◽  
...  

Bone ◽  
2014 ◽  
Vol 66 ◽  
pp. 140-145 ◽  
Author(s):  
Ko Chiba ◽  
Andrew J. Burghardt ◽  
Makoto Osaki ◽  
Sharmila Majumdar

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