Analysis of bone mineral density distribution at trabecular bones in thoracic and lumbar vertebrae using X-ray CT images

2010 ◽  
Vol 29 (2) ◽  
pp. 174-185 ◽  
Author(s):  
Tatsuro Hayashi ◽  
Huayue Chen ◽  
Kei Miyamoto ◽  
Xiangrong Zhou ◽  
Takeshi Hara ◽  
...  
Bone ◽  
2006 ◽  
Vol 38 (2) ◽  
pp. 286-288 ◽  
Author(s):  
Andrew M. Briggs ◽  
John D. Wark ◽  
Susan Kantor ◽  
Nicola L. Fazzalari ◽  
Alison M. Greig ◽  
...  

2021 ◽  
Vol 7 ◽  
Author(s):  
Fabio Massimo Ulivieri ◽  
Luca Rinaudo

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.


2018 ◽  
Vol 59 (sup1) ◽  
pp. 74-80 ◽  
Author(s):  
Pascal R. Buenzli ◽  
Chloé Lerebours ◽  
Andreas Roschger ◽  
Paul Roschger ◽  
Richard Weinkamer

Author(s):  
Xuanliang Neil Dong ◽  
Patricia Cussen ◽  
Timothy Lowe ◽  
David Di Paolo ◽  
Joyce Ballard

Hip fractures are among the most common types of osteoporotic fractures that affect one in three women and one in six men over the age of 50 [1]. It is well known that loss of bone mass, quantified by bone mineral density using Dual-energy X-ray Absorptiometry (DXA), is associated with the increasing risk of bone fractures. However, bone mineral density (BMD) alone cannot fully explain changes in fracture risks [2, 3]. In particular, BMD is not able to predict fracture risks for women with osteopenia, in which a BMD T-score is between −1.0 and −2.5. This suggests additional factors (i.e., bone quality) should be considered in predicting fracture risks [4].


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