Share:
Share this content in WeChat
X
Primary Medicine Forum
Correlation between upper abdominal fat volume and body mass index in patients with non-alcoholic fatty liver disease based on magnetic resonance imaging
HUANG Zedi  LI Sicong  ZHANG Anzhou  WANG Xing  DING Zan  ZHANG Xuefeng 

Cite this article as: Huang ZD, Li SC, Zhang AZ, et al. Correlation between upper abdominal fat volume and body mass index in patients with non-alcoholic fatty liver disease based on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2021, 12(7): 80-83. DOI:10.12015/issn.1674-8034.2021.07.017.


[Keywords] adipose tissue;volume;quantification;magnetic resonance imaging;diabetes mellitus;non-alcoholic fatty liver

HUANG Zedi1   LI Sicong1   ZHANG Anzhou1   WANG Xing1   DING Zan2   ZHANG Xuefeng1*  

1 Department of Diagnostic Radiology, Baoan Central Hospital, the 5th Affiliated Hospital of Shenzhen University, Guangdong Province, Shenzhen 518102, China

2 Medical record statistics room,Baoan Central Hospital, the 5th Affiliated Hospital of Shenzhen University, Guangdong Province, Shenzhen 518102, China

Zhang XF, E-mail: xuezhifeng1@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS This paper was supported by the Scientific Research Project of Shenzhen Baoan Central Hospital (No. BCH2019007).
Received  2021-01-24
Accepted  2021-03-18
DOI: 10.12015/issn.1674-8034.2021.07.017
Cite this article as: Huang ZD, Li SC, Zhang AZ, et al. Correlation between upper abdominal fat volume and body mass index in patients with non-alcoholic fatty liver disease based on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2021, 12(7): 80-83. DOI:10.12015/issn.1674-8034.2021.07.017.

1
Wang M, Luo YJ, Cai HS, et al. Visceral abdominal adiposity tissue volume quantification using noninvasive MRI in prediction of type 2 diabetes[J]. Chin J Med Imaging Technol, 2017, l33(12): 1844-1849. DOI: 10.139929/j.1003-3289.201705101.
2
Neeland IJ, Turer AT, Ayers CR, et al. Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults[J]. JAMA, 2012, 308(11): 1150-1159. DOI: 10.1001/2012.jama.11132.
3
Zhang CX, Cheng XG, Xu L, et al. Acorrelative study of liver fat content and bone mineral density in middle-aged and elderly people[J]. Chin J Radiol, 2020, 54(2): 136-139. DOI: 10.21037/qins,2018.08.07.
4
Li K, Zhang Y, wang L, et al. The protocol for the prospective urban rural epidemiology China action on spine and hipstatus study[J]. Quant Imaging Med Surg, 2018, 8(7): 667-672. DOI: 10.21037/qins,2018.08.07.
5
Karampinos DC, Baum T, Nardo L, et al. Characterization of the regional distribution of skeletal muscle adipose tissue in type 2 diabetes using chemical shift-based water/fat separation[J]. J Magn Reson Imaging, 2012, 35(4): 899-907. DOI: 10.1002/jmri.23512. DOI: .
6
Musso G, Paschetta E, Gambino R, et al. Interactions amongbone, liver, and adipose tissue predisposing to diabesity and fatty liver[J]. Trends Mol Med, 2013, 19(9): 522-535. DOI: 10.1016/j.molmed.2013.05.006.
7
Kuhn JP, Berthold F, Mayerle J, et al. Pancreatic steatosis demonstrated at mr imaging in the general population: clinical relevance[J]. Radiology, 2015, 276(1): 129-136. DOI: 10.1148/radiol.15140446.
8
Leitao HS, Paulino C, Rodrigues D, et al. MR fat fraction mapping: a simple biomarker for liver steatosis quantification in nonalcoholic fatty liver disease patients[J]. Acad Radiol, 2013, 20(8): 957-961. DOI: 10.1016/j.acra.2013.05.004.
9
Zhou W, Chen XQ, Zhou YY. Quantitative measurement of whole Liver fat with MR Dixon Technology: compared with liver biopsy[J]. J Med Imaging, 2018, 28(5): 775-780.
10
Wang Y, Zha YF, Xing D. Quantitative MRI study of the relationship between fat content in lumbar paravertebral muscles and disc degeneration[J]. Chin J Magn Reson Imaging, 2018, 9(11): 819-824. DOI: 10.12015/issn.1674-8034.2018.11.004.
11
Middleton MS, Haufe W, Hooker J, et al. Quantifying abdominal adipose tissue and thigh muscle volume and hepatic proton density fat fraction: repeatability and accuracy of an MR imaging-based, semiautomated analysis method[J]. Radiology, 2017, 283(2): 438-449. DOI: 10.1148/radiol.2017160606.
12
Fabbrini E, Sullivan S, Klein S. Obesity and nonalcoholic fatty liver disease: Biochemical, metabolic and clinical implications[J]. Hepatology, 2010, 51(2): 679-689. DOI: 10.1002/hep.23280.
13
Wang M, Luo Y, Cai H, et al. Prediction of type 2 diabetes mellitus using noninvasive MRI quantitation of visceral abdominal adiposity tissue volume[J]. Quant Imaging Med Surg, 2019, 9(6): 1076-1086. DOI: 10.21037/qims.2019.06.01.
14
Pan YL, Chen TT, Wang HQ, et al. Relationship among age, abdominal fat and bone mineral density by quantitative CT[J]. Chin J Med Imaging, 2020, 28(4): 276-280. DOI: 10.3969/j.issn.1005-5185.2020.04.010.
15
Emdin CA, Khera AV, Natarajan P, et al. Genetic association of waist-to-hip ratio with cardiometabolic traits, type 2 diabetes, and coronary heart disease[J]. JAMA, 2017, 317(6): 626-634. DOI: 10.1001/jama.2016.21042.
16
Shen W, Chen J. Application of imaging and othernoninvasive techniques in determining adipose tissue mass[J]. Methods Mol Biol2008, 456(3): 39-54. DOI: 10.1007/978-1-59745-245-8_3.
17
Neeland IJ, Hughes C, Ayers CR, et al. Effects of visceral adiposity on glycerol pathways in gluconeogenesis[J]. Metabolism, 2017, 67(2): 80-89. DOI: 10.1016/j.metabol.2016.11.008.
18
Huang MY, Cheng JL, Lv XT, et al. IDEAL-IQ and MRS in quantitative assessment lf liver fat content[J]. Radiol Pract, 2017, 32(5): 447-450. DOI: 10.13609/j.cnki.1000-0313.2017.05.004.
19
Middleton MS, Haufe W, Hooker J, et al. Quantifying abdominal adipose tissue and thigh muscle volume and hepatic proton density fat fraction: repeatability and accuracy of an MR imaging-based, semiautomated analysis method[J]. Radiology, 2017, 283(2): 438-449. DOI: 10.1148/radiol.2017160606.
20
Wander PL, Boyko EJ, Leonetti DL, et al. Change in visceral adiposityindependently predicts a greater risk of developing type 2 diabetes over 10 years in Japanese Americans[J]. Diabetes Care, 2013, 36(2): 289-293. DOI: 10.2337/dc12-0198.
21
Schweitzer L, Geisler C, Pourhassan M, et al. Estimation of skeletal muscle mass and visceral adipose tissue volume by a single magnetic resonance imaging slice in healthy elderly adults[J]. Nutr, 2016, 146(10): 2143-2148. DOI: 10.3945/jn.116.236844.
22
Zhu CL, Zhang XD. Research progress of brown adipose tissue detection based on magnetic resonance imaging[J]. Chin J Magn Reson imaging, 2020, 11(9): 829-832. DOI: 10.12015/issn.1674-8034.2020.09.026.

PREV MRI features and pathological mechanism of solitary plasmacytoma in the spine
NEXT Characteristic analysis of high resolution magnetic resonance vessel wall imaging in a child with secondary intracranial vasculitis
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn