scholarly journals No correlation between body mass index and striatal dopamine transporter availability in healthy volunteers using SPECT and [123 I]PE2I

Obesity ◽  
2013 ◽  
Vol 21 (9) ◽  
pp. 1803-1806 ◽  
Author(s):  
G. Thomsen ◽  
M. Ziebell ◽  
P. S. Jensen ◽  
S. da Cuhna-Bang ◽  
G. M. Knudsen ◽  
...  
NeuroImage ◽  
2013 ◽  
Vol 64 ◽  
pp. 61-67 ◽  
Author(s):  
Elsmarieke van de Giessen ◽  
Swen Hesse ◽  
Matthan W.A. Caan ◽  
Franziska Zientek ◽  
John C. Dickson ◽  
...  

NeuroImage ◽  
2008 ◽  
Vol 40 (1) ◽  
pp. 275-279 ◽  
Author(s):  
Po See Chen ◽  
Yen Kuang Yang ◽  
Tzung Lieh Yeh ◽  
I-Hui Lee ◽  
Wei Jen Yao ◽  
...  

2008 ◽  
Vol 65 (3) ◽  
pp. 338-346 ◽  
Author(s):  
Yan-Ling He ◽  
Ron Sabo ◽  
Joelle Campestrini ◽  
Yibin Wang ◽  
Gilles-Jacques Riviere ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0160149 ◽  
Author(s):  
Elisabete L. Conceição ◽  
Francisco S. Nascimento-Sampaio ◽  
Paulo A. Schwingel ◽  
Evelin S. Oliveira ◽  
Michael S. Rocha ◽  
...  

Author(s):  
JJ Huang ◽  
JM Soukup ◽  
SM Malakauskas ◽  
TH Le ◽  
E Karoly ◽  
...  

2020 ◽  
Vol 48 (7) ◽  
pp. 030006052093128
Author(s):  
Qiuping Ning ◽  
Tiebing Fan ◽  
Jinyang Tang ◽  
Shuhua Han ◽  
Wensheng Wang ◽  
...  

Objective Iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification (IDEAL-IQ) is a noninvasive and objective method used to quantitatively measure fat content. Although this technique has been used in the entire abdomen, IDEAL-IQ findings in the sacroiliac joint (SIJ) have rarely been reported. This preclinical study was performed to quantify the amount of fat in the SIJ in healthy volunteers by IDEAL-IQ. Methods From April to November 2017, 60 healthy volunteers with low back pain were included in this retrospective study. The participants were allocated into groups by age (15–30, 31–50, and ≥51 years), sex (male and female), and body mass index (BMI) (<18.5, 18.5–23.9, and ≥24.0 kg/m2). The iliac-side (Fi) and sacral-side (Fs) fat fractions were obtained in all groups. Two- and three-factor multivariate analyses were performed to analyze the effects of sex, age, and BMI on the Fi and Fs. Results The interaction among sex, age, and BMI had no statistically significant effect on the dependent variable. Both Fi and Fs were significantly influenced by age. Fs was significantly influenced by sex. Conclusion The IDEAL-IQ sequence can be used to quantitatively assess the SIJ fat content in healthy volunteers.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Nazma Mohammed ◽  
Muzamil Latief ◽  
Manzoor Parry ◽  
Manjusha Yadla

Abstract Background and Aims Renal length as well as renal cortical thickness has been closely related to creatinine clearance in patients with chronic kidney disease. Our primary aim was to establish a normal range of values for kidney length in our adult population with normal renal function. Method This was a prospective observational study. Ultrasonographic assessment of renal parameters in 499 healthy volunteers between 18 to 80 years of age was done. Volunteers with any known renal condition or any co-morbidity were excluded from the study population. Correlation between body mass index (BMI) and renal parameters was assessed. Results Out of 499 volunteers 327 (65%) were males and 172(35%) were females. 17.8% volunteers were less than 30 years of age, 51.5% volunteers were in the age group of 30-60 years and 30.7 % were above 60 years of age. Mean BMI in males was 25.20 ± 3.96 kg/m2 whereas mean BMI in females was 24.08 ± 3.28 kg/m2. In males the mean cortical thickness in right kidney was 13.68+/- 2.47 mm and in left kidney cortical thickness was 13.94 ± 2.6 mm. In females right kidney cortical thickness was 12.63 ± 1.91 mm and left kidney cortical thickness was 13.40 ± 2.37 mm. In the present study the right mean renal length was 9.9 ± 40cm and left renal length was 10.19 ± 0.97cm. In our study, there was positive correlation BMI with renal length. Conclusion Size of kidney has significant ethnic and geographic basis and there is a positive correlation between BMI and kidney size in our study population.


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