The preferred magnetic resonance imaging planes in quantifying visceral adipose tissue and evaluating cardiovascular risk

The role of MRI in understanding the underlying mechanisms in obesity associated diseases

Obesity and its possible association with diseases including diabetes and cardiovascular diseases have been studied for decades for its impact on healthcare. Recent studies clearly indicate the need for developing accurate and reproducible methodologies for assessing body fat content and distribution. Body fat distribution plays a significant role in developing an insight in the underlying mechanisms in which adipose tissue is linked with various diseases. Among imaging technologies including computerized axial tomography (CAT or CT), magnetic resonance imaging (MRI), and magnetic resonance spectroscopy (MRS), MRI and MRS seem to be the best emerging techniques and together are being considered as the gold standard for body fat content and distribution. This paper reviews studies up to the present time involving different methodologies of these two emerging technologies and presents the basic concepts of MRI and MRS with required novel image analysis techniques in accurate, quantitative, and direct assessment of body fat content and distribution. This article is part of a Special Issue entitled: Oxidative Stress and Mitochondrial Quality in Diabetes/Obesity and Critical Illness Spectrum of Diseases - edited by P. Hemachandra Reddy.

Fully automatic and nonparametric quantification of adipose tissue in fat-water separation MR imaging

Despite increasing demand and research efforts, currently there is no consensus on the protocol for automated and reliable quantification of adipose tissue (AT) and visceral adipose tissue (VAT) using MRI. The purpose of this study was to propose a novel computational method with enhanced objectiveness for the quantification of AT and VAT in fat-water separation MRI. 3T data from IDEAL were acquired for the fat-water separation. Fat tissues were separated from nonfat regions (background air, bone, water, and other nonfat tissues) using K-means clustering (K = 2). From the binary fat mask, arm regions were separated from body based on the relative size of connected component. AT was obtained from the binary body fat mask. With the initial contour as the outer boundary of body fat, the subcutaneous adipose tissue (SAT) and VAT were separated using deformable model driven by a specifically generated deformation field pointing to the inner boundary of SAT. The proposed method was tested on 16 patients with dyslipidemia and evaluated by comparing the correlation with semi-automatic segmentation results. Good robustness was also observed in the proposed method from the Bland-Altman plots. Compared to other established fat segmentation methods, the proposed method is highly objective for fat-water separation MRI with minimal variability induced by subjective parameter settings.

Weight-loss diet alone or combined with resistance training induces different regional visceral fat changes in obese women

BACKGROUND

Quantification of abdominal fat and its regional distribution has become increasingly important in assessing the cardiovascular risk.

OBJECTIVE

To examine the effects of 16 weeks of a hypocaloric diet with a caloric restriction of 500 Kcal per day (WL) or the same dietary intervention plus resistance training (WL+RT) on regional variation of abdominal visceral (visceral adipose tissue (VAT)) and subcutaneous (subcutaneous adipose tissue (SAT)) fat loss. Second, to identify the single-image that best represents total magnetic resonance imaging measurements of total VAT and SAT volume before and after WL or WL+RT intervention.

DESIGN

A total of 34 obese (body mass index: 30-40 kg m(-2)) women, aged 40-60 years, were randomized to three groups: a control group (C; n = 9), a diet group (WL; n = 12) and a diet plus resistance training group (WL+RT; n = 13) with the same caloric restriction as group WL and a 16-week supervised whole-body RT of two sessions per week.

RESULTS

WL+RT programs lead to significant changes in the location of highest mean VAT area from L3-L4 to L2-L3 discal level from pre- to post- intervention, whereas after WL the greatest relative VAT losses were located at L5-S1. Similar decreases in the SAT areas at all discal levels were observed after WL and WL+RT.

CONCLUSION

Different weight loss regimes may lead to different distribution of VAT. Sites located significantly above (cranial to) L4-L5 (that is, ∼ 5-6 cm above L4-L5 or at L2-L3 discal level) provided superior prediction of total abdominal VAT volume, whereas more caudal slices provide better prediction of subcutaneous fat, not only before but also after either WL or WL+RT.

Cutoff values for central obesity in Chinese based on mesenteric fat thickness

AIMS

Sonographic measurement of mesenteric fat thickness (MFT) is a novel, accurate and simple tool to evaluate regional distribution of obesity. We used MFT to determine the optimal waist circumference (WC) values and associated risk factors for cardiovascular disease (CVD).

METHODS

282 healthy Chinese (age 41.8+/-7.4 years, BMI 23.8+/-3.3 kg/m(2)) was assessed. High MFT was defined as mean+1 SD of the cohort. We compared the CVD risks including fatty liver amongst subjects with normal waist, central pre-obesity and central obesity.

RESULTS

WC of 84.6 cm in men and 75.7 cm in women were the optimal cutoff values to predict high MFT with ROC analysis. Using WC cutoff values > or =85-90 cm and > or =90 cm to define central pre-obesity and obesity in men (> or =75-80 cm and > or =80 cm in women), both central obesity and pre-obesity had higher MFT and CVD risk than those with normal waist. The frequencies of fatty liver in these 3 categories were 15.9%, 56.7% and 96.7% in men and 6.9%. 17.9% and 63.2% in women (p<0.001 for trend).

CONCLUSION

In addition to central obesity, "central pre-obesity" identifies subjects who harbor high CVD risks, fatty liver and excess visceral fat.

Visceral fat loss induced by a low-calorie diet: a direct comparison between women and men

AIM

No studies have assessed if changes in visceral adipose tissue (VAT) during weight loss differ between women and men with comparable amounts of VAT at baseline. The aim of this study was to assess if changes in VAT induced by a low-calorie diet (LCD) differ between women and men.

METHODS

In this post hoc analysis of an existing database, abdominal adipose tissue was evaluated before and after an 8-week LCD (800-1000 kcal/day) by a single-slice magnetic resonance scan performed at the abdominal level. Body composition was measured by dual X-ray energy absorptiometry.

RESULTS

Data from 111 obese subjects (85 women and 26 men) were available. Relative changes in VAT were found to be more pronounced in men [mean (95% CI): -32.6% (-38.7 to -26.6)] than in women [-21.9% (-25.0 to -18.8)] (p = 0.003) after correction for relative changes in fat mass (FM). When analysing only the data from a subgroup of 23 women and 23 men who were matched for similar visceral to abdominal subcutaneous fat ratio at baseline, these differences could not be observed anymore: the change in VAT was -33.7% (-38.7 to -28.7) in men and -26.8% (-31.8 to -21.8) in women (p = 0.07).

CONCLUSIONS

This study suggests that relative changes in VAT during a LCD may be greater in men than in women even after taking relative changes in FM into account. However, these differences disappear when properly matching the subjects for baseline amounts of VAT.

Novel measurements of periaortic adipose tissue in comparison to anthropometric measures of obesity, and abdominal adipose tissue

BACKGROUND

Perivascular adipose tissue may be associated with the amount of local atherosclerosis. We developed a novel and reproducible method to standardize volumetric quantification of periaortic adipose tissue by computed tomography (CT) and determined the association with anthropometric measures of obesity, and abdominal adipose tissue.

METHODS

Measurements of adipose tissue were performed in a random subset of participants from the Framingham Heart Study (n=100) who underwent multidetector CT of the thorax (ECG triggering, 2.5 mm slice thickness) and the abdomen (helical CT acquisition, 2.5 mm slice thickness). Abdominal periaortic adipose tissue (AAT) was defined by a 5 mm cylindrical region of interest around the aortic wall; thoracic periaortic adipose tissue (TAT) was defined by anatomic landmarks. TAT and AAT were defined as any voxel between -195 and -45 HU and volumes were measured using dedicated semiautomatic software. Measurement reproducibility and association with anthropometric measures of obesity, and abdominal adipose tissue were determined.

RESULTS

The intra- and inter-observer reproducibility for both AAT and TAT was excellent (ICC: 0.97 and 0.97; 0.99 and 0.98, respectively). Similarly, the relative intra- and inter-observer difference was small for both AAT (-1.85+/-1.28% and 7.85+/-6.08%; respectively) and TAT (3.56+/-0.83% and -4.56+/-0.85%, respectively). Both AAT and TAT were highly correlated with visceral abdominal fat (r=0.65 and 0.77, P<0.0001 for both) and moderately correlated with subcutaneous abdominal fat (r=0.39 and 0.42, P<0.0001 and P=0.009), waist circumference (r=0.49 and 0.57, P<0.0001 for both) and body mass index (r=0.47 and 0.58, P<0.0001 for both).

CONCLUSION

Standardized semiautomatic CT-based volumetric quantification of periaortic adipose tissue is feasible and highly reproducible. Further investigation is warranted regarding associations of periaortic adipose tissue with other body fat deposits, cardiovascular risk factors and clinical outcomes.

Low serum adiponectin is associated with high circulating oxidized low-density lipoprotein in patients with type 2 diabetes mellitus and coronary artery disease

Decrease in adiponectin level, a common feature in patients with type 2 diabetes mellitus, is considered to predict cardiovascular events. Elevated oxidized low-density lipoprotein (oxLDL), formed within the arterial wall, is commonly seen as part of the atherogenic profile. We investigated the association of adiponectin and oxLDL in 58 patients with type 2 diabetes mellitus and ischemic coronary artery disease. In addition to adiponectin, the serum lipid profile (including oxLDL), plasminogen activator inhibitor 1, high-sensitivity C-reactive protein, and whole-body glucose uptake determined by euglycemic-hyperinsulinemic clamp were evaluated. The average adiponectin level was 7.1 +/- 3.5 microg/mL and was higher in female than in male patients (P = .011). Adiponectin level correlated with whole-body glucose uptake (P = .037) and high-density lipoprotein (HDL) cholesterol concentration (P = .007) and was inversely associated with oxLDL (P = .005), triglycerides (P = .010), and plasminogen activator inhibitor 1 (P = .004). No association was found between adiponectin and high-sensitivity C-reactive protein or LDL cholesterol levels. In multiple linear regression analysis, adiponectin contributed to oxLDL concentration, whereas total cholesterol, LDL and HDL cholesterol, and triglycerides did not. In conclusion, our results suggest that low adiponectin concentration indicates increased oxidative state in the arterial wall, which further supports previous data on the role of adipose tissue in atherogenesis.