Clinical Support Services and Nursing Sector, Dubai Health Authority, Dubai, UAE, Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, UAE.
Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, UAE.
Acta Biomed. 2021 Jul 1;92(3):e2021078. doi: 10.23750/abm.v92i3.10060.
This study aims to quantify abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) using T2-weighted magnetic resonance imaging (MRI), and assess the extent of its concordance with VAT surface-area measured by a state-of-the-art segmental multi-frequency bioelectrical impedance analysis (BIA) device. A comparison between manual and semi-automated segmentation was conducted. Further, abdominal VAT and SAT sex-based comparison in healthy Arab adults was piloted.
A cross-sectional design was followed to recruit subjects. Abdominal VAT and SAT were determined on T2-weighted MRI manually and semi-automatically. Body composition was assessed using a BIA machine. Statistical differences between the abdominal VAT areas defined by BIA, manual, and semi-automated MRI were compared. Correlation between all methods was assessed, and statistical differences between sex abdominal VAT/SAT defined areas were compared.
A total of 165 abdominal T2-weighted MR images taken for 55 overweight/obese adult subjects were analyzed Differences between manual and semi-automated MRI-obtained abdominal VAT and SAT were found statistically significant (P<0.001) for all subjects. Mean abdominal VAT using the BIA technique was found to correlate significantly with manually and semi-automated T2-weighted MRI defined VAT (r=0.7436; P<0.001 and r=0.8275; P<0.001, respectively). Abdominal VAT was significantly (P<0.001) different between male and female subjects accumulating at different abdominal levels.
Semi-automatic segmentation showed a stronger significant correlation with BIA compared to manual segmentation, implying a more reliable quantification of abdominal VAT/SAT. Segmental BIA technique may serve as a feasible and convenient assessment tool for the visceral adiposity in obese subjects.
本研究旨在使用 T2 加权磁共振成像（MRI）定量测量腹部内脏脂肪组织（VAT）和皮下脂肪组织（SAT），并评估其与最先进的分段多频生物电阻抗分析（BIA）设备测量的 VAT 表面积的一致性程度。进行了手动和半自动分割的比较。此外，还在健康的阿拉伯成年人中进行了基于性别的腹部 VAT 和 SAT 比较的试点研究。
采用横断面设计招募受试者。手动和半自动 T2 加权 MRI 确定腹部 VAT 和 SAT。使用 BIA 机器评估身体成分。比较 BIA、手动和半自动 MRI 定义的腹部 VAT 区域之间的统计学差异。评估所有方法之间的相关性，并比较男女腹部 VAT/SAT 定义区域之间的统计学差异。
共分析了 55 名超重/肥胖成年受试者的 165 个腹部 T2 加权 MRI。对于所有受试者，手动和半自动 MRI 获得的腹部 VAT 和 SAT 之间的差异具有统计学意义（P<0.001）。使用 BIA 技术测量的平均腹部 VAT 与手动和半自动 T2 加权 MRI 定义的 VAT 显著相关（r=0.7436；P<0.001 和 r=0.8275；P<0.001）。男性和女性受试者的腹部 VAT 存在显著差异（P<0.001），分别在不同的腹部水平积累。
半自动分割与 BIA 相比显示出更强的显著相关性，这意味着更可靠地定量测量腹部 VAT/SAT。分段 BIA 技术可能是肥胖受试者内脏脂肪的一种可行且方便的评估工具。
