Optical Processing of Radiographic Trabecular Pattern Versus Bone Mineral Density of Proximal Femur as Measures of Bone Strength

2001 ◽  
Vol 4 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Isaac S. Leichter ◽  
Ariel Simkin ◽  
Victor Neeman ◽  
Christian Jabschinsky ◽  
David Schoenfeld ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Strength ◽  
Bone Mineral ◽  
Proximal Femur ◽  
Optical Processing ◽  
Mineral Density ◽  
Trabecular Pattern ◽  
Pattern Versus

Influence of electro-acupuncture on bone mineral density, bone strength and ultrastructure in ovariectomized rats

Bone ◽  
2006 ◽  
Vol 38 (3) ◽  
pp. 27-28 ◽  
Author(s):  
Z.G. Luo ◽  
A.T. Wang ◽  
W.S. Yu ◽  
Y. Zhao ◽  
P. Hu ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Strength ◽  
Bone Mineral ◽  
Ovariectomized Rats ◽  
Mineral Density

475 A Novel Means of Assessing Bone Mineral Density and Bone Strength in Patients With Inflammatory Bowel Disease Undergoing CT Enterography

2013 ◽  
Vol 144 (5) ◽  
pp. S-86
Author(s):  
Nicholas K. Weber ◽  
Jeff L. Fidler ◽  
Bart L. Clarke ◽  
Sundeep Khosla ◽  
Joel G. Fletcher ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Inflammatory Bowel Disease ◽  
Bone Strength ◽  
Bone Mineral ◽  
Bowel Disease ◽  
Ct Enterography ◽  
Mineral Density ◽  
Inflammatory Bowel

scholarly journals Beyond Bone Mineral Density: A New Dual X-Ray Absorptiometry Index of Bone Strength to Predict Fragility Fractures, the Bone Strain Index

2021 ◽  
Vol 7 ◽  
Author(s):  
Fabio Massimo Ulivieri ◽  
Luca Rinaudo
Keyword(s):  
Bone Mineral Density ◽  
Density Distribution ◽  
Bone Strength ◽  
Bone Quality ◽  
Bone Mineral ◽  
Fragility Fracture ◽  
Bone Strain ◽  
Mineral Density ◽  
Strain Index ◽  
X Ray

For a proper assessment of osteoporotic fragility fracture prediction, all aspects regarding bone mineral density, bone texture, geometry and information about strength are necessary, particularly in endocrinological and rheumatological diseases, where bone quality impairment is relevant. Data regarding bone quantity (density) and, partially, bone quality (structure and geometry) are obtained by the gold standard method of dual X-ray absorptiometry (DXA). Data about bone strength are not yet readily available. To evaluate bone resistance to strain, a new DXA-derived index based on the Finite Element Analysis (FEA) of a greyscale of density distribution measured on spine and femoral scan, namely Bone Strain Index (BSI), has recently been developed. Bone Strain Index includes local information on density distribution, bone geometry and loadings and it differs from bone mineral density (BMD) and other variables of bone quality like trabecular bone score (TBS), which are all based on the quantification of bone mass and distribution averaged over the scanned region. This state of the art review illustrates the methodology of BSI calculation, the findings of its in reproducibility and the preliminary data about its capability to predict fragility fracture and to monitor the follow up of the pharmacological treatment for osteoporosis.

Preservation of Bone Mineral Density of the Proximal Femur Following Hemisurface Arthroplasty

Orthopedics ◽  
2004 ◽  
Vol 27 (12) ◽  
pp. 1266-1271 ◽  
Author(s):  
Harlan C Amstutz ◽  
Edward Ebramzadeh ◽  
Akos Sarkany ◽  
Michel Le Duff ◽  
Robert Rude
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Proximal Femur ◽  
Mineral Density

Bone Mineral Density Assessment by DXA vs. QCT in Postmenopausal Females with Central Obesity

2020 ◽  
Vol 13 (2) ◽  
pp. 153-161
Author(s):  
Lejla Milisic ◽  
Sandra Vegar-Zubovic ◽  
Amina Valjevac ◽  
Suada Hasanovic-Vučković
Keyword(s):  
Bone Mineral Density ◽  
Lumbar Spine ◽  
Bone Mineral ◽  
Proximal Femur ◽  
Central Obesity ◽  
Quantitative Computed Tomography ◽  
Normal Weight ◽  
Mineral Density ◽  
Cross Sectional ◽  
T Score

Objectives: Although Dual-energy X-ray Absorptiometry (DXA) is gold standard for osteoporosis diagnosis, several reports have shown discordant T-score values measured by Quantitative Computed Tomography (QCT) and DXA especially in obese subjects, but it is still not clear whether BMD measurement by two modalities is affected by overall obesity or central obesity in postmenopausal females. Therefore, the aims of this study were to compare BMD and T-scores by DXA and QCT and to evaluate whether these two osteoporosis assessment modalities yield different T-score values in postmenopausal females with obesity and central obesity. Methods: This cross-sectional study enrolled 44 postmenopausal females, referred for osteoporosis screening. Anthropometric indices (BMI-body mass index, WC-waist circumference and ICOindex of central obesity) were measured and females underwent an assessment of bone mineral density by DXA and QCT. Results: Lumbar Spine (LS) T-score values were observed to be significantly lower by DXA compared to qCT in females with BMI >25 kg/m2, (-1.9±1.5 vs. -2.3±1.2; p=0.039), in females with WC>88 cm(-1.9±1.5 vs. -2.4±1.2; p=0.008) and in females with ICO>0.5(-1.96±1.4 vs. -2.5±1.2; p=0.004). However, in normal-weight females and in those without central obesity, LS T-scores by DXA were not different than qCT. DXA at lumbar spine and proximal femur revealed osteoporosis in 47.7% and 11.4% respectively, while QCT detected osteoporosis in 61.4% of females (p<0.001). Measures of central obesity; ICO and WC were not associated with QCT bone mineral density (BMD) (r=0.14 and r=0.21, respectively), but were positively associated with both DXALS BMD (r=0.29 and r=0.31; p<0.05) and DXA proximal femur BMD (r=0.41 and r=0.44; p<0.01). Conclusion: Our results suggest that obesity is associated with lower T-scores by DXA compared to QCT. Caution is needed when assessing osteoporosis status in obese postmenopausal females. However, further studies with larger sample size are needed to confirm the findings.

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