scholarly journals Normalized Indices Derived from Visceral Adipose Mass Assessed by Magnetic Resonance Imaging and Their Correlation with Markers for Insulin Resistance and Prediabetes

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2064
Author(s):  
Jürgen Machann ◽  
Norbert Stefan ◽  
Robert Wagner ◽  
Andreas Fritsche ◽  
Jimmy D. Bell ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Insulin Resistance ◽  
Adipose Tissue ◽  
Insulin Sensitivity ◽  
Magnetic Resonance ◽  
Body Height ◽  
Resonance Imaging ◽  
Metabolic Characteristics ◽  
Visceral Adipose ◽  
Hba1c Levels

Visceral adipose tissue (VAT) plays an important role in the pathogenesis of insulin resistance (IR), prediabetes and type 2 diabetes. However, VAT volume alone might not be the best marker for insulin resistance and prediabetes or diabetes, as a given VAT volume may impact differently on these metabolic traits based on body height, gender, age and ethnicity. In a cohort of 1295 subjects from the Tübingen Diabetes Family Study (TDFS) and in 9978 subjects from the UK Biobank (UKBB) undergoing magnetic resonance imaging for quantification of VAT volume, total adipose tissue (TAT) in the TDFS, total abdominal adipose tissue (TAAT) in the UKBB, and total lean tissue (TLT), VAT volume and several VAT-indices were investigated for their relationships with insulin resistance and glycemic traits. VAT-related indices were calculated by correcting for body height (VAT/m:VAT/body height; VAT/m2:VAT/(body height)2, and VAT/m3:VAT/(body height)3), TAT (%VAT), TLT (VAT/TLT) and weight (VAT/WEI), with closest equivalents used within the UKBB dataset. Prognostic values of VAT and VAT-related indices for insulin sensitivity, HbA1c levels and prediabetes/diabetes were analyzed for males and females. Males had higher VAT volume and VAT-related indices than females in both cohorts (p < 0.0001) and VAT volume has shown to be a stronger determinant for insulin sensitivity than anthropometric variables. Among the parameters uncorrected VAT and derived indices, VAT/m3 most strongly correlated negatively with insulin sensitivity and positively with HbA1c levels and prediabetes/diabetes in the TDFS (R2 = 0.375/0.305 for females/males for insulin sensitivity, 0.178/0.148 for HbA1c levels vs., e.g., 0.355/0.293 and 0.144/0.133 for VAT, respectively) and positively with HbA1c (R2 = 0.046/0.042) in the UKBB for females and males. Furthermore, VAT/m3 was found to be a significantly better determinant of insulin resistance or prediabetes than uncorrected VAT volume (p < 0.001/0.019 for females/males regarding insulin sensitivity, p < 0.001/< 0.001 for females/males regarding HbA1c). Evaluation of several indices derived from VAT volume identified VAT/m3 to correlate most strongly with insulin sensitivity and glucose metabolism. Thus, VAT/m3 appears to provide better indications of metabolic characteristics (insulin sensitivity and pre-diabetes/diabetes) than VAT volume alone.

scholarly journals Estimation of Skeletal Muscle Mass and Visceral Adipose Tissue Volume by a Single Magnetic Resonance Imaging Slice in Healthy Elderly Adults

2016 ◽  
Vol 146 (10) ◽  
pp. 2143-2148 ◽  
Author(s):  
Lisa Schweitzer ◽  
Corinna Geisler ◽  
Maryam Pourhassan ◽  
Wiebke Braun ◽  
Claus-Christian Glüer ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Skeletal Muscle ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Skeletal Muscle Mass ◽  
Elderly Adults ◽  
Resonance Imaging ◽  
Healthy Elderly ◽  
Adipose Tissue Volume ◽  
Visceral Adipose

scholarly journals Quantification of visceral adipose tissue by computed tomography and magnetic resonance imaging: reproducibility and accuracy

2019 ◽  
Vol 52 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Lorenzo Carlo Pescatori ◽  
Edoardo Savarino ◽  
Giovanni Mauri ◽  
Enzo Silvestri ◽  
Maurizio Cariati ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Visceral Adipose Tissue ◽  
Resonance Imaging ◽  
Interobserver Reproducibility ◽  
Mri Scans ◽  
Visceral Adipose ◽  
Ct And Mri

Abstract Objective: To evaluate the feasibility of quantifying visceral adipose tissue (VAT) on computed tomography (CT) and magnetic resonance imaging (MRI) scans, using freeware, as well as calculating intraobserver and interobserver reproducibility. Materials and Methods: We quantified VAT in patients who underwent abdominal CT and MRI at our institution between 2010 and 2015, with a maximum of three months between the two examinations. A slice acquired at the level of the umbilicus was selected. Segmentation was performed with the region growing algorithm of the freeware employed. Intraobserver and interobserver reproducibility were evaluated, as was the accuracy of MRI in relation to that of CT. Results: Thirty-one patients (14 males and 17 females; mean age of 57 ± 15 years) underwent CT and MRI (mean interval between the examinations, 28 ± 12 days). The interobserver reproducibility was 82% for CT (bias = 1.52 cm2; p = 0.488), 86% for T1-weighted MRI (bias = −4.36 cm2; p = 0.006), and 88% for T2-weighted MRI (bias = −0.52 cm2; p = 0.735). The intraobserver reproducibility was 90% for CT (bias = 0.14 cm2; p = 0.912), 92% for T1-weighted MRI (bias = −3,4 cm2; p = 0.035), and 90% for T2-weighted MRI (bias = −0.30 cm2; p = 0.887). The reproducibility between T1-weighted MRI and T2-weighted MRI was 87% (bias = −0.11 cm2; p = 0.957). In comparison with the accuracy of CT, that of T1-weighted and T2-weighted MRI was 89% and 91%, respectively. Conclusion: The program employed can be used in order to quantify VAT on CT, T1-weighted MRI, and T2-weighted MRI scans. Overall, the accuracy of MRI (in comparison with that of CT) appears to be high, as do intraobserver and interobserver reproducibility. However, the quantification of VAT seems to be less reproducible in T1-weighted sequences.

Abstract P344: Comparison of Visceral Adipose Tissue Measurements in Adolescents Between Magnetic Resonance Imaging and DXA

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Chelsea L Kracht ◽  
Peter T Katzmarzyk ◽  
Amanda E Staiano
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
African American ◽  
Magnetic Resonance ◽  
Visceral Adipose Tissue ◽  
African American Adolescents ◽  
Whole Body ◽  
Resonance Imaging ◽  
Medical Systems ◽  
Visceral Adipose

Introduction: Excess Visceral Adipose Tissue (VAT) is linked to cardiometabolic risk in adolescents. VAT is mainly measured using Magnetic Resonance Imaging (MRI), yet dual-energy x-ray absorptiometry (DXA) is more affordable and available. The purpose was to compare VAT from MRI and DXA in adolescents. Methods: Adolescents 10-16 years of age were recruited. Abdominal MRI was performed using a General Electric (GE) Signal Excite scanner (3.0 Tesla; GE Medical Systems) with IDEAL-IQ imaging software. A series of scans between specific points on the liver and kidney were conducted. A trained technician manually drew VAT and used additional calculations to determine VAT volume (L). A whole-body DXA (GE iDXA scanner) was performed and software calculated VAT within the android region. Paired samples t-tests were used to determine differences between VAT values, within sex, race (White, African American, and Other race), and BMI categories (normal, overweight, and obese). VAT values were standardized to a mean of zero and unit standard deviation and compared with a Bland Altman plot. Results: A total of 330 adolescents participated. The mean age was 12.6±1.9 years, and the sample was 52.3% female, 58.5% White, 14.7% overweight (14.7%), and 33.5% obese. Average VAT from MRI (0.58±0.47 L) and DXA (0.35±0.41 L) significantly differed ( p =0.001). The error and absolute error were -0.23 ±0.20 L and 0.23±0.20 L respectively, with DXA measuring lower than MRI. DXA values were significantly lower from MRI values for each sex, race, and BMI categories ( p <0.01 for all). DXA values were closest to MRI values in African American adolescents (-0.14 ±0.20 L) and furthest away for those who had overweight (-0.31±0.17 L). All standardized values fell within ±1.96 standard deviations (Figure 1). Conclusions: In this sample, DXA measured VAT values were consistently lower overall and in subgroups compared to MRI. In general, DXA values were not comparable to MRI values.

Measurement of visceral adipose tissue by dual energy x-ray absorptiometry compared with magnetic resonance imaging

2019 ◽  
Vol 13 (3) ◽  
pp. 313
Author(s):  
Jenna Taylor ◽  
Jeff S. Coombes ◽  
Michael D. Leveritt ◽  
David J. Holland ◽  
Shelley E. Keating
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Visceral Adipose Tissue ◽  
Dual Energy ◽  
Resonance Imaging ◽  
X Ray ◽  
Visceral Adipose

scholarly journals Magnetic resonance imaging of total body fat

1998 ◽  
Vol 85 (5) ◽  
pp. 1778-1785 ◽  
Author(s):  
E. Louise Thomas ◽  
Nadeem Saeed ◽  
Joseph V. Hajnal ◽  
Audrey Brynes ◽  
Anthony P. Goldstone ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Body Fat ◽  
Whole Body ◽  
Resonance Imaging ◽  
Whole Body Mri ◽  
Total Body Fat ◽  
Total Body ◽  
Visceral Adipose

In this study we assessed different magnetic resonance imaging (MRI) scanning regimes and examined some of the assumptions commonly made for measuring body fat content by MRI. Whole body MRI was used to quantify and study different body fat depots in 67 women. The whole body MRI results showed that there was a significant variation in the percentage of total internal, as well as visceral, adipose tissue across a range of adiposity, which could not be predicted from total body fat and/or subcutaneous fat. Furthermore, variation in the amount of total, subcutaneous, and visceral adipose tissue was not related to standard anthropometric measurements such as skinfold measurements, body mass index, and waist-to-hip ratio. Finally, we show for the first time subjects with a percent body fat close to the theoretical maximum (68%). This study demonstrates that the large variation in individual internal fat content cannot be predicted from either indirect methods or direct imaging techniques, such as MRI or computed tomography, on the basis of a single-slice sampling strategy.

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