Pancreatic Fat Quantification by MRI： Potential Biomarker of Impaired Glucose Tolerance and Type 2 Diabetes
- VernacularTitle:磁共振胰腺脂肪定量测定预测糖耐量异常及2型糖尿病
- Author:
Wei-qiang LIANG
1
;
Zhen-peng PENG
2
;
Jin-yun GAO
3
;
Meng WANG
2
Author Information
1. Department of Radiology， Xinhui Hospital of Traditional Chinese Medicine， Jiangmen 529100， China
2. Department of Radiology， The First Affiliated Hospital， SUN Yat-sen University， Guangzhou 510080， China
3. Department of Radiology， Shenzhen Traditional Chinese Medicine Hospital， Shenzhen 518033， China
- Publication Type:Journal Article
- Keywords:
fat volume fraction;
pancreas;
type 2 diabetes mellitus;
magnetic resonance imaging
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2021;42(2):250-256
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate whether the quantitative magnetic resonance imaging （MRI） measurement of pancreatic fat content may indicate impaired glucose tolerance （IGT） or type 2 diabetes mellitus （T2DM）. MethodsA total of 108 subjects （43 men， 65 women； aged 47.9±12.1 years） were enrolled in this study， including 27 with T2DM， 29 with IGT and 53 with normal glucose tolerant （NGT）. NGT individuals were subdivided into younger group （<40 years old） and elder group （≥40 years old）. All the participants underwent standard laboratory tests for insulin resistance and β-cell dysfunction. MRI scanning with the iterative decomposition of water and fat with echo asymmetry and least square estimation image quantification （IDEAL-IQ） technique was used to determine fat distribution in the pancreas. The correlation between pancreatic fat volume fractions （PFVF） and laboratory parameters was analyzed. The feasibility of using PFVF to predict IGT and T2DM was evaluated. ResultsPFVF was significantly higher in T2DM patients than that in both IGT and NGT patients， with lowest PFVF in NGT patients. Logistic regression indicated that PFVF was an independent risk factor of glucose abnormality （IGT and T2DM）. ROC curve analysis showed that the cut-off value for PFVF to predict glucose abnormality （IGT and T2DM） was 5.68% （P< 0.001； AUC： 0.871； sensitivity： 92.7%； specificity： 71.7%）. ConclusionMRI fat quantitative assay can quantitatively determine fat content in the pancreas， providing a non-invasive biomarker for the prediction of glucose abnormality （IGT and T2DM）.
