PDF(Pubmed)
Abstract：
To explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.
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.
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).
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.
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.
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).
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.
摘要：
■基于磁共振脂肪分数（FF）图探讨2型糖尿病（T2DM）与身体成分之间的关联。
■总共341个科目，这项研究纳入了接受FF图腹部MRI检查的患者，其中T2DM患者68例,非T2DM患者273例。FFs和内脏脂肪组织面积（VAT），在L1-L2椎体水平测量皮下脂肪组织（SAT）和腹肌（AM）。通过在T12和L1椎体水平测量的平均FF值确定骨髓脂肪组织（BMAT）的FF，分别。基于FF映射的3D半自动分割测量整个肝脏脂肪分数（HFF）和胰腺脂肪分数（PFF）。所有数据均通过GraphPadPrism和MedCalc进行分析。
■增值税区，增值税FF,HFF,调整年龄和性别后，T2DM组的PFF高于非T2DM组（P<0.05）。然而,SAT面积没有差异，SATFF,BMATFF,两组间AM面积和AMFF(P>0.05)。VAT面积和PFF是2型糖尿病的独立危险因素(均P<0.05)。区分T2DM和非T2DM的VAT面积和PFF的受试者工作特征（ROC）曲线下面积（AUC）分别为0.685和0.787。PFF的AUC高于VAT区(P<0.05)。此外,在看似健康的个体中，SAT区,增值税区,发现AM面积与超重和/或肥胖（BMI≥25）显着相关（均P<0.05）。
■在这项研究中，发现T2DM和增值税地区之间存在显著关联，增值税FF,HFF和PFF。此外,VAT面积和PFF是T2DM的独立危险因素。尤其是,PFF在区分T2DM和非T2DM方面显示出较高的诊断性能。这些发现可能突出了PFF在T2DM病理生理学中的重要作用。它可能是T2DM预防和治疗的潜在影像学生物标志物。此外,在没有糖尿病的个体中，专注于SAT领域，增值税区和AM区可能有助于识别潜在的健康风险，并为有针对性的体重管理和预防措施提供依据。
■总共341个科目，这项研究纳入了接受FF图腹部MRI检查的患者，其中T2DM患者68例,非T2DM患者273例。FFs和内脏脂肪组织面积（VAT），在L1-L2椎体水平测量皮下脂肪组织（SAT）和腹肌（AM）。通过在T12和L1椎体水平测量的平均FF值确定骨髓脂肪组织（BMAT）的FF，分别。基于FF映射的3D半自动分割测量整个肝脏脂肪分数（HFF）和胰腺脂肪分数（PFF）。所有数据均通过GraphPadPrism和MedCalc进行分析。
■增值税区，增值税FF,HFF,调整年龄和性别后，T2DM组的PFF高于非T2DM组（P<0.05）。然而,SAT面积没有差异，SATFF,BMATFF,两组间AM面积和AMFF(P>0.05)。VAT面积和PFF是2型糖尿病的独立危险因素(均P<0.05)。区分T2DM和非T2DM的VAT面积和PFF的受试者工作特征（ROC）曲线下面积（AUC）分别为0.685和0.787。PFF的AUC高于VAT区(P<0.05)。此外,在看似健康的个体中，SAT区,增值税区,发现AM面积与超重和/或肥胖（BMI≥25）显着相关（均P<0.05）。
■在这项研究中，发现T2DM和增值税地区之间存在显著关联，增值税FF,HFF和PFF。此外,VAT面积和PFF是T2DM的独立危险因素。尤其是,PFF在区分T2DM和非T2DM方面显示出较高的诊断性能。这些发现可能突出了PFF在T2DM病理生理学中的重要作用。它可能是T2DM预防和治疗的潜在影像学生物标志物。此外,在没有糖尿病的个体中，专注于SAT领域，增值税区和AM区可能有助于识别潜在的健康风险，并为有针对性的体重管理和预防措施提供依据。
