Magnetic Resonance Imaging Assessment of Abdominal Ectopic Fat Deposition in Correlation With Cardiometabolic Risk Factors

Zhang, Qinhe; Xie, Luhan; Zhang, Haonan; Liu, Jinghong; Zhao, Ying; Chen, Lihua; Ju, Ye; Chen, Anliang; Wang, Nan; Song, Qingwei; Xie, Lizhi; Liu, Ailian

doi:10.3389/fendo.2022.820023

Cited by 3 publications

(10 citation statements)

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“…Area (cm 2 ) of VAT and SAT was semi-automatically measured on the axial FF images by Image J (National Institutes of Health, USA), as previously described ( 11 ). The abdominal fat was determined at the L1-L2 level and did not include intestinal loops.…”

Section: Methodsmentioning

confidence: 99%

“…An MRI iterative decomposition of water and fat with echo asymmetry at least-square estimation-iron quantification (IDEAL-IQ) method enables accurate measurement of fat content, with a low flip angle for suppressing the T1 effects and multi-echo acquisition for water-fat separation and correction of the T2* effects. It is currently considered the best non-invasive technique for assessing fat fraction (FF) and fat volume ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

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Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping

Zhang

Chen

et al. 2023

Front. Endocrinol.

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PurposeTo determine the renal sinus fat (RSF) volume and fat fraction (FF) in normal Chinese subjects using MRI fat fraction mapping and to explore their associations with age, gender, body mass index (BMI) and ectopic fat deposition.MethodsA total of 126 subjects were included in the analysis. RSF volume and FF, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) area, and hepatic and pancreatic FFs were measured for each subject. The comparisons in gender were determined using two-tailed t-tests or the nonparametric Mann-Whitney U-test for normally or non-normally distributed data for continuous variables and the chi-square test for categorical variables. Comparisons of RFS volume and FF between right and left kidneys were determined using paired sample t-tests. Multivariable logistic models were performed to confirm whether RSF differences between men and women are independent of VAT or SAT area. When parameters were normally distributed, the Pearson correlation coefficient was used; otherwise, the Spearman correlation coefficient was applied.ResultsThe RSF volumes (cm3) of both kidneys in men (26.86 ± 8.81 for right and 31.62 ± 10.32 for left kidneys) were significantly bigger than those of women (21.47 ± 6.90 for right and 26.03 ± 8.55 for left kidneys) (P < 0.05). The RSF FFs (%) of both kidneys in men (28.33 ± 6.73 for right and 31.21 ± 6.29 for left kidneys) were significantly higher than those of the women (23.82 ± 7.74 for right and 27.92 ± 8.15 for left kidneys) (P < 0.05). The RSF differences between men and women are independent of SAT area and dependent of VAT area (except for right RSF volume). In addition, the RSF volumes and FFs in both kidneys in the overall subjects show significant correlations with age, BMI, VAT area, hepatic fat fraction and pancreatic fat fraction (P < 0.05). However, the patterns of these correlations varied by gender. The RSF volume and FF of left kidney were significantly larger than those of the right kidney (P < 0.05).ConclusionThe association between renal sinus fat and ectopic fat deposition explored in this study may help establish a consensus on the normal values of RSF volume and FF for the Chinese population. This will facilitate the identification of clinicopathological changes and aid in the investigation of whether RSF volume and FF can serve as early biomarkers for metabolic diseases and renal dysfunction in future studies.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping

Zhang

Chen

et al. 2023

Front. Endocrinol.

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“…The median age was 43 (29-53) years and 261 (80.56%) were males (Table 1). 300 (92.59%) patients suffered from blunt trauma and the median ISS was 18 (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). The median length of hospital stay was 14 (9-23) days.…”

Section: Resultsmentioning

confidence: 99%

“…There are cellular, molecular, physiological, clinical, and prognostic differences in VAT and SAT present in the abdominal cavity, and thus making a distinction between them is meaningful [11][12][13]. VAT shows a stronger inflammatory response than SAT in the chronic setting, conferring a much higher cardiovascular risk to VAT than to SAT [14,15]. Nevertheless, the role of abdominal adipose tissue in the development of AKI and other acute organ dysfunction syndromes remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Subcutaneous Adipose Tissue Is Associated with Acute Kidney Injury after Abdominal Trauma Based on the Generalized Propensity Score Approach: A Retrospective Cohort Study

Xi¹,

Li²,

He³

et al. 2023

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Introduction: Obesity is associated with an increased risk of acute kidney injury (AKI) after trauma. However, the associations between different adipose tissue depots and AKI remain unknown. Our study aims to quantify the effect of abdominal adiposity on AKI in trauma patients. Methods: We performed a retrospective cohort study of abdominal trauma patients who were admitted into our hospital from January 2010 to March 2020. Abdominal VAT (visceral adipose tissue) and SAT (subcutaneous adipose tissue) were measured at the level of the third lumbar vertebra using computed tomography. Causal modeling based on the generalized propensity score was used to quantify the effects of BMI (body mass index), VAT and SAT on AKI. Results: Among 324 abdominal trauma patients, 67 (20.68%) patients developed AKI. Patients with AKI had higher BMI (22.46 kg/m2 vs. 22.04 kg/m2, P = 0.014), higher SAT areas (89.06 cm2 vs. 83.39 cm2, P = 0.151) and VAT areas (140.02 cm2 vs. 91.48 cm2, P = 0.001) than those without AKI. By using causal modeling, we found that the risk of developing AKI increased by 8.3% (P = 0.001) and 4.8% (P = 0.022) with one unit increase in BMI (per 1 kg/m2), and ten units increase in SAT (per 10 cm2), respectively. However, VAT did not show a significant association with AKI (P = 0.327). Conclusion: SAT, but not VAT, increased the risk of AKI among abdominal trauma patients. Measurement of SAT might help to identify patients at higher risk of AKI.

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“…Magnetic resonance imaging (MRI) enables fat fraction (FF) mapping through chemical shift encoding, and the FF is commonly defined as the percentage of proton density of fat molecules relative to the combined proton density of water and fat molecules ( 19 , 20 ). Compared with traditional imaging techniques such as dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA), FF mapping by MRI can provide fast and accurate evaluation of the fat composition of the whole body, and it has been widely applied in the assessment of abdominal muscle (AM) ( 21 – 24 ), BMAT ( 23 – 25 ), and ectopic fat deposition ( 25 , 26 ).…”

Section: Introductionmentioning

confidence: 99%

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

An,

Zhang,

Wang

et al. 2024

Front. Public Health

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PurposeTo explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.MethodsA total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc.ResultsVAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05).ConclusionsIn this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

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Magnetic Resonance Imaging Assessment of Abdominal Ectopic Fat Deposition in Correlation With Cardiometabolic Risk Factors

Cited by 3 publications

References 72 publications

Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping

Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping

Subcutaneous Adipose Tissue Is Associated with Acute Kidney Injury after Abdominal Trauma Based on the Generalized Propensity Score Approach: A Retrospective Cohort Study

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

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