Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping
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...
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1332346/full |
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| author | Qi An Qin-He Zhang Yue Wang Han-Yue Zhang Yu-Hui Liu Zi-Ting Zhang Mei-Ling Zhang Liang-Jie Lin Hui He Yi-Fan Yang Peng Sun Zhen-Yu Zhou Qing-Wei Song Ai-Lian Liu |
| author_facet | Qi An Qin-He Zhang Yue Wang Han-Yue Zhang Yu-Hui Liu Zi-Ting Zhang Mei-Ling Zhang Liang-Jie Lin Hui He Yi-Fan Yang Peng Sun Zhen-Yu Zhou Qing-Wei Song Ai-Lian Liu |
| author_sort | Qi An |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T12:02:28Z |
| format | Article |
| id | doaj.art-3bf1a4db95ac46c0aa1b80de26b0cfee |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-08T12:02:28Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-3bf1a4db95ac46c0aa1b80de26b0cfee2024-01-23T13:57:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-01-011210.3389/fpubh.2024.13323461332346Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mappingQi An0Qin-He Zhang1Yue Wang2Han-Yue Zhang3Yu-Hui Liu4Zi-Ting Zhang5Mei-Ling Zhang6Liang-Jie Lin7Hui He8Yi-Fan Yang9Peng Sun10Zhen-Yu Zhou11Qing-Wei Song12Ai-Lian Liu13Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Medical Imaging, Dalian Medical University, Dalian, ChinaDepartment of Medical Imaging, Dalian Medical University, Dalian, ChinaDepartment of Medical Imaging, Dalian Medical University, Dalian, ChinaPhilips Healthcare, Beijing, ChinaDepartment of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaPhilips Healthcare, Beijing, ChinaPhilips Healthcare, Beijing, ChinaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaPurposeTo 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.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1332346/fullectopic fat depositionabdominal musclebone marrow adipose tissuemagnetic resonance imagingimaging biomarker |
| spellingShingle | Qi An Qin-He Zhang Yue Wang Han-Yue Zhang Yu-Hui Liu Zi-Ting Zhang Mei-Ling Zhang Liang-Jie Lin Hui He Yi-Fan Yang Peng Sun Zhen-Yu Zhou Qing-Wei Song Ai-Lian Liu Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping Frontiers in Public Health ectopic fat deposition abdominal muscle bone marrow adipose tissue magnetic resonance imaging imaging biomarker |
| title | Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping |
| title_full | Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping |
| title_fullStr | Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping |
| title_full_unstemmed | Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping |
| title_short | Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping |
| title_sort | association between type 2 diabetes mellitus and body composition based on mri fat fraction mapping |
| topic | ectopic fat deposition abdominal muscle bone marrow adipose tissue magnetic resonance imaging imaging biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1332346/full |
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