Artificial neural networks as a method to improve the precision of subcutaneous adipose tissue thickness measurements by means of the optical device LIPOMETER

2000 ◽  
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pp. 355-365 ◽  
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Erwin Tafeit ◽  
Reinhard Möller ◽  
Karl Sudi ◽  
Gilbert Reibnegger
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Hatice Kansu-Celik ◽  
Burcu Kisa Karakaya ◽  
Yasemin Tasci ◽  
Necati Hancerliogullari ◽  
Selen Yaman ◽  
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pp. 786-790 ◽  
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Andreas Fritsche ◽  
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Zeqiang Yang ◽  
Dongmei Hao ◽  
Song Zhang ◽  
Yimin Yang ◽  
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Imaging ◽  
2021 ◽  
Author(s):  
Takashi Abe ◽  
Vickie Wong ◽  
Zachary W. Bell ◽  
Robert W. Spitz ◽  
Scott J. Dankel ◽  
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Background:It has been observed that gluteal-femoral adipose tissue has a protective effect against risk factors for cardiovascular disease but has not yet been concluded how different evaluation methods of fat distribution affect the results.Methods:To test the hypothesis that B-mode ultrasound-measured subcutaneous adipose tissue distribution is associated with cardiovascular risk factors, 326 Japanese unmedicated postmenopausal women aged 50-70 years were analyzed. Subcutaneous adipose tissue thickness at 6 sites (anterior and posterior aspects of trunk, upper-arm, and thigh) and serum total (TC) and high-density lipoprotein cholesterol (HDLC) was measured, and a ratio of HDLC to TC (HDLC/TC) was calculated. We used Bayesian linear regression with 4 separate models with each model predicting HDLC/TC.Results:Our first model provided evidence for an inverse correlation (r = –0.23) between ultrasound measured body fat (6 site measurement) and HDLC/TC. The second model noted evidence for an inverse correlation between trunk fat and HDLC/TC and found evidence for the null with respect to the correlation between thigh fat and HDLC/TC. Therefore, we added thigh fat to the null model to produce Distribution Model 2. Within this model, we noted an inverse correlation (r = –0.353) between trunk fat and HDLC/TC. Our last model determined that within the trunk fatness, the abdominal area (anterior trunk) was a larger predictor than the subscapular site (posterior trunk).Conclusion:These results support the evidence that ultrasound-measured abdominal subcutaneous adipose tissue thickness is a non-invasive predictor for monitoring the risk for dyslipidemia in postmenopausal women.


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