机构：[1]Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China中山大学附属第一医院[2]Department of Radiology, The SecondAffiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China[3]Department of Gastroenterology, The First AffiliatedHospital, Sun Yat-sen University, Guangzhou, China中山大学附属第一医院[4]GE Healthcare, MR Enhanced Application China, Beijing, China[5]MRI Research, GEHealthcare, Beijing, China
Background: The white adipose tissue (WAT) and brown adipose tissue (BAT) are associated with the development of several obesity-associated disorders. The use of imaging techniques to differentiate BAT from WAT and quantify BAT volume remains challenging, due to limitations such as spatial resolution and magnetic field inhomogeneity. This study aimed to investigate the feasibility for differentiating BAT from WAT, and quantify the BAT volume in vivo using synthetic magnetic resonance imaging (MRI). Methods: A total of 16 C57BL/6 mice were scanned using synthetic MRI. Quantitative longitudinal relaxation time (T1) and transverse relaxation time (T2) maps were obtained from the original synthetic MRI data using the synthetic MRI software offline. The T1 and T2 values of interscapular BAT (IBAT) and dorsal subcutaneous WAT were measured. The IBAT volume was calculated using synthetic MRI-derived T2 weighted images (T2WIs) based on its morphological characteristics and quantitative tissue values. The body weight of mice was measured, and the IBAT specimens were excised and weighted. The correlation between IBAT volume and the weight of IBAT gross specimen and between IBAT volume and mouse body weight was analyzed. Results: The T1 values of BAT (330.3 +/- 19.57 ms) were higher than those of WAT (304.42 +/- 4.14 ms) (P<0.001), whereas the T2 values of BAT (66.06 +/- 5.06 ms) were lower than those of WAT (88.23 +/- 7.68 ms) (P<0.001). The area under the curve (AUC) values of the T1 and T2 for differentiating BAT from WAT was 0.942 and 0.995, respectively. The AUC of the T2 values was higher than that of T1 (P=0.04) using the DeLong test. The optimal cut-off value for T2 was 76 ms for differentiating BAT from WAT (100% sensitivity, 93.7% specificity). A moderate correlation was observed between IBAT volume and the weight of the IBAT gross specimen (r=0.662, P=0.014), and between IBAT volume and mouse body weight (r=0.653, P=0.016). Conclusions: The quantitative parameters derived using synthetic MRI may be used to detect and differentiate BAT from WAT in vivo. Synthetic MRI may help quantify BAT volume in vivo.
基金：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81971684, 81771908, 82001882]; Scientific Research Project of Traditional Chinese Medicine Bureau of Guangdong Province [20211173]; Natural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of Guangdong Province [2021A1515011442]
第一作者机构：[1]Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China[2]Department of Radiology, The SecondAffiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
共同第一作者：
通讯作者：
通讯机构：[1]Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China[*1]Department of Radiology and Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, 58th, The Second Zhongshan Road, Guangzhou 510080, China
推荐引用方式(GB/T 7714)：
Huo Mengjuan,Ye Junzhao,Dong Zhi,et al.Quantification of brown adipose tissue in vivo using synthetic magnetic resonance imaging: an experimental study with mice model[J].QUANTITATIVE IMAGING IN MEDICINE AND SURGERY.2022,12(1):526-538.doi:10.21037/qims-20-1344.
APA：
Huo, Mengjuan,Ye, Junzhao,Dong, Zhi,Cai, Huasong,Wang, Meng...&Feng, Shi-Ting.(2022).Quantification of brown adipose tissue in vivo using synthetic magnetic resonance imaging: an experimental study with mice model.QUANTITATIVE IMAGING IN MEDICINE AND SURGERY,12,(1)
MLA：
Huo, Mengjuan,et al."Quantification of brown adipose tissue in vivo using synthetic magnetic resonance imaging: an experimental study with mice model".QUANTITATIVE IMAGING IN MEDICINE AND SURGERY 12..1(2022):526-538
