scholarly journals Intrarectal administration of hCG (Human Choriogonadotropin) and fat loss as assessed by Dual energy X-ray absorptiometry (DXA) in experimental animals.

2012 ◽  
Author(s):  
Daniel Belluscio ◽  
Ezequiel Klimovsky ◽  
Alejandro Kaniuk ◽  
Sergio Vaney
2020 ◽  
Author(s):  
Kyung-Wan Baek ◽  
Ji-Seok Kim ◽  
Jin Sung Park ◽  
So-Jeong Kim ◽  
Yong-Chan Ha ◽  
...  

Abstract Background: As an instrument for measuring body composition in experimental animals, dual-energy X-ray absorptiometry (DXA) is ideal for accuracy, cost, and measurement efficiency. However, there is too little insight into the effectiveness of the various aspects of applying DXA to experimental animals. Therefore, we investigated whether to compare and verify the precision and accuracy of DXA and nuclear magnetic resonance (NMR) animal body composition analyzers. We used 30 ICR mice in the study. First, in order to evaluate the reproducibility of DXA and NMR, we did repeated measurements by repositioning each mouse in anesthesia and euthanasia states. Subsequently, the accuracy of each device was evaluated by comparing the weight measured before the experiment, the weight of the tissue extracted from the mice after the experiment, and the measured DXA and NMR. In addition, when measuring the body composition of animals, we compared the time and the measurable body composition parameters and summarized the advantages and disadvantages of the two devices.Results: Compared to NMR, DXA had the advantage of a fast measurement of bone composition and rapid image analysis. In addition, DXA showed a higher correlation (> 95%) with FM, body weight, and fBMC baseline than did NMR (> 85%).Conclusion: In conclusion, DXA was confirmed to have higher precision and measurement accuracy than did NMR. Therefore, DXA is an effective method for evaluating the body composition of experimental animals.


Author(s):  
Reham A. Mostafa ◽  
Doaa R. Negm ◽  
Naser A. ElSawy

Background: Dual energy X-ray absorptiometry (DEXA) is the most accurate technique in determining fat percentage but it is unpotable, expensive, unavailable for general applicability. Objective: This study aimed to find the most accurate and easiest technique as alternative to DEXA for quick determination of body fat%. This study examined the accuracy of three models of Bioelectrical impedance analysis (BIA) technique (Fat Loss Monitor- Body Composition -Body Fat Analyzer) in determining the body fat percentage with using DEXA as a reference standard. Subject and Methods: A cross sectional study was carried out during the period from (28-9-2017) to (5-4-2018) among a random sample of (53) volunteers female student in Umm Al Qura University from Faculty of Applied Medical Science aged between (20-39 years) from different level of education. All subjects were generally healthy, data was collected through a structured questionnaire compose of three section. Demographic data was collected and anthropometric measurements were evaluated as well as body composition (Only body fat%) using DEXA, body composition monitor, fat loss monitor and body fat analyzer. Results: BMI classification of the total 53 subjects was including 8 healthy females, 17 overfat, 25 obese and 3 underweight. The fat% result from DEXA and body fat analyzer was significant difference at (P < 0.05). Fat percent result from DEXA and Body Composition device was non-significant difference at (P>0.05). The fat% result from DEXA and Fat Loss Monitor device was significant at difference (P<0.05). Conclusion: The most accurate of BIA technique was the Body Composition device compering to DEXA.


Author(s):  
R.G. Frederickson ◽  
R.G. Ulrich ◽  
J.L. Culberson

Metallic cobalt acts as an epileptogenic agent when placed on the brain surface of some experimental animals. The mechanism by which this substance produces abnormal neuronal discharge is unknown. One potentially useful approach to this problem is to study the cellular and extracellular distribution of elemental cobalt in the meninges and adjacent cerebral cortex. Since it is possible to demonstrate the morphological localization and distribution of heavy metals, such as cobalt, by correlative x-ray analysis and electron microscopy (i.e., by AEM), we are using AEM to locate and identify elemental cobalt in phagocytic meningeal cells of young 80-day postnatal opossums following a subdural injection of cobalt particles.


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.


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