Skeletal health in Duchenne dystrophy: Bone-size and subcranial dual-energy X-ray absorptiometry analyses

2014 ◽  
Vol 49 (4) ◽  
pp. 512-519 ◽  
Author(s):  
Wendy M. King ◽  
John T. Kissel ◽  
Diane Visy ◽  
Prem K. Goel ◽  
Velimir Matkovic
2020 ◽  
Vol 105 (12) ◽  
pp. 3784-3791
Author(s):  
Kurt A Kennel ◽  
Jad G Sfeir ◽  
Matthew T Drake

Abstract Context The diagnosis of osteoporosis and assessment of fracture risk prior to a sentinel fracture was transformed by the widespread clinical use of dual-energy X-ray absorptiometry (DXA) for the assessment of bone mineral density (BMD). Evidence Acquisition This review is based on a collection of primary and review literature gathered from a PubMed search of “dual energy X-ray absorptiometry,” “trabecular bone score,” and “atypical femur fracture” among other keywords. PubMed searches were supplemented by the authors’ prior knowledge of the subject. Evidence Synthesis While uncertainty exists for some aspects of osteoporosis care, patient and clinician familiarity with BMD assessment for screening and monitoring is firmly established. Beyond BMD, lateral spine images obtained with DXA can diagnose osteoporosis and refine fracture risk through the detection of unrecognized vertebral fractures. In addition, analysis of DXA lumbar spine images can reflect changes in trabecular bone microarchitecture, a component of bone “quality” that predicts risk of fracture independent of BMD. Finally, monitoring of bone health by DXA may be extended to include assessment of the femoral cortices for rare but serious adverse effects associated with antiresorptive therapies. Conclusions Increasing technologic sophistication requires additional consideration for how DXA imaging is performed, interpreted and applied to patient care. As with any test, clinicians must be familiar with DXA performance, pitfalls in analysis, and interpretation within each clinical context in which DXA is applied. With this perspective, care providers will be well positioned to contribute to continuous improvement of DXA performance and, in turn, quality of osteoporosis care.


2017 ◽  
Author(s):  
Khalaf Alshamrani ◽  
Amaka Offiah ◽  
Elzene kruger
Keyword(s):  
Bone Age ◽  

2013 ◽  
Author(s):  
Christine Wohlfahrt-Veje ◽  
Jeanette Tinggaard ◽  
Annette Mouritsen ◽  
Casper Hagen ◽  
Mikkel Grunnet ◽  
...  
Keyword(s):  
Body Fat ◽  
X Ray ◽  

2020 ◽  
Vol 2020 (14) ◽  
pp. 293-1-293-7
Author(s):  
Ankit Manerikar ◽  
Fangda Li ◽  
Avinash C. Kak

Dual Energy Computed Tomography (DECT) is expected to become a significant tool for voxel-based detection of hazardous materials in airport baggage screening. The traditional approach to DECT imaging involves collecting the projection data using two different X-ray spectra and then decomposing the data thus collected into line integrals of two independent characterizations of the material properties. Typically, one of these characterizations involves the effective atomic number (Zeff) of the materials. However, with the X-ray spectral energies typically used for DECT imaging, the current best-practice approaches for dualenergy decomposition yield Zeff values whose accuracy range is limited to only a subset of the periodic-table elements, more specifically to (Z < 30). Although this estimation can be improved by using a system-independent ρe — Ze (SIRZ) space, the SIRZ transformation does not efficiently model the polychromatic nature of the X-ray spectra typically used in physical CT scanners. In this paper, we present a new decomposition method, AdaSIRZ, that corrects this shortcoming by adapting the SIRZ decomposition to the entire spectrum of an X-ray source. The method reformulates the X-ray attenuation equations as direct functions of (ρe, Ze) and solves for the coefficients using bounded nonlinear least-squares optimization. Performance comparison of AdaSIRZ with other Zeff estimation methods on different sets of real DECT images shows that AdaSIRZ provides a higher output accuracy for Zeff image reconstructions for a wider range of object materials.


1997 ◽  
Vol 38 (4) ◽  
pp. 539-542
Author(s):  
Klaus Preidler ◽  
L. S. White ◽  
J. Tashkin ◽  
C. O. McDaniel ◽  
J. Brossmann ◽  
...  

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