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Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping.
An, Qi; Zhang, Qin-He; Wang, Yue; Zhang, Han-Yue; Liu, Yu-Hui; Zhang, Zi-Ting; Zhang, Mei-Ling; Lin, Liang-Jie; He, Hui; Yang, Yi-Fan; Sun, Peng; Zhou, Zhen-Yu; Song, Qing-Wei; Liu, Ai-Lian.
Affiliation
  • An Q; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Zhang QH; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Wang Y; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Zhang HY; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Liu YH; Department of Medical Imaging, Dalian Medical University, Dalian, China.
  • Zhang ZT; Department of Medical Imaging, Dalian Medical University, Dalian, China.
  • Zhang ML; Department of Medical Imaging, Dalian Medical University, Dalian, China.
  • Lin LJ; Philips Healthcare, Beijing, China.
  • He H; Department of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Yang YF; Department of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Sun P; Philips Healthcare, Beijing, China.
  • Zhou ZY; Philips Healthcare, Beijing, China.
  • Song QW; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Liu AL; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Front Public Health ; 12: 1332346, 2024.
Article in En | MEDLINE | ID: mdl-38322122
ABSTRACT

Purpose:

To explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.

Methods:

A 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.

Results:

VAT 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).

Conclusions:

In 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Public Health Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Public Health Year: 2024 Document type: Article