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• Clinical Article •
Applying magnetic resonance rapid liver fat quantification to monitor liver fat changes in patients with obese type 2 diabetes mellitus
WEI Wei  BAI Yan  MA Lun  SHI Shao-jie  WANG Yan  WANG Mei-yun 

DOI:10.12015/issn.1674-8034.2018.12.006.


[Abstract] Objective: To evaluate the feasibility and accuracy of magnetic resonance imaging six-echo Dixon rapid liver fat quantitative analysis for the changes of liver fat content in the patients with obese type 2 diabetes (T2DM), and reveal the relationship between the changes in liver fat fraction and body weight, body mass index (BMI) or glycosylated hemoglobin (HbA1c) after the three-months treatment.Materials and Methods: This study included 21 patients with clinical diagnosed obese T2MD, They lost the weight and controlled the blood glucose according to the Chinese Type 2 Diabetes Prevention Guide (2013 edition) recommended intensive lifestyle intervention with acarbose of a three-month treatment period. All patients underwent liver scan by using T2*-corrected six-echo Dixon sequence in Siemens 1.5 T MRI scanner before and after treatment, respectively. After the image acquisition was completed, the average fat content of the liver was quantitatively analyzed by the rapid fat quantification and manual draw region of interest (ROI). Finally, the Bland-Altman plots and Pearson correlation analysis were performed on the quantitative results of the above two methods. Furthermore, we analysed the correlation between the change in liver fat content and the change in the body weight, BMI or HbA1c after the three-months treatment.Results: The six-echo Dixon rapid liver fat quantification results were highly correlated with the manual draw ROI measurements for patients in the two examinations, respectively (r=0.993 and 0.985, respectively, both P<0.01). The Bland-Altman analysis showed that the average difference between the rapid liver fat quantification and manual ROI was 0.99 (95% confidence interval,-0.56 to 2.54) and 1.23 (95% confidence interval,-0.81 to 3.28) in the two examinations (20/21 differences were within range of 95% confidence interval), respectively. The significant correlations were also found between the change of liver fat fraction and the change of body weight, BMI or HbA1c after treatment (r=0.508, 0.514 and 0.467, respectively; P=0.019, 0.017 and 0.033, respectively).Conclusions: The MRI six-echo Dixon rapid liver fat quantification can simply, feasibility and accurately assess the change of liver fat content in the patients with obese T2DM. Moreover, it is helpful for investigating the association between the change of liver fat content and the change of body weight, BMI or HbA1c.
[Keywords] Magnetic resonance imaging；Diabetes mellitus, type 2；Obesity；Liver fat quantification

WEI Wei Medical College of Henan University, Kaifeng 475000, China

BAI Yan Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou 450003, China; Henan Key Laboratory for Medical Imaging of Neurological Disease, Zhengzhou 450003, China

MA Lun Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou 450003, China

SHI Shao-jie Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou 450003, China

WANG Yan Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou 450003, China

WANG Mei-yun* Medical College of Henan University, Kaifeng 475000, China; Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou 450003, China; Henan Key Laboratory for Medical Imaging of Neurological Disease, Zhengzhou 450003, China

*Correspondence to: Wang MY, E-mail: marian9999@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation No.81720108021, 81641168 National Key Research and Development Program No.2017YFE0103600 Henan Provincial Scientific and Technological Open and Cooperating Project No.152106000014 Henan Provincial Medical Scientific and Technological Research Project No.201501011
Received  2018-08-13
DOI: 10.12015/issn.1674-8034.2018.12.006
DOI:10.12015/issn.1674-8034.2018.12.006.

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