Department of Medicine, Institute of Imaging Sciences, Vanderbilt University, Nashville, TN, USA.
Diabetes Metab Syndr Obes. 2010 Sep 28;3:337-47. doi: 10.2147/DMSOTT.S9454.
Obesity is a threat to public health worldwide primarily due to the comorbidities related to visceral adiposity, inflammation, and insulin resistance that increase risk for type 2 diabetes and cardiovascular disease. The translational research portfolio that originally described these risk factors was significantly enhanced by imaging techniques, such as dual-energy X-ray absorptiometry (DEXA), computed tomography (CT), and magnetic resonance imaging (MRI). In this article, we briefly review the important contributions of these techniques to understand the role of body composition in the pathogenesis of obesity-related complications. Notably, these imaging techniques have contributed greatly to recent findings identifying gender and racial differences in body composition and patterns of body composition change during weight loss. Although these techniques have the ability to generate good-quality body composition data, each possesses limitations. For example, DEXA is unable to differentiate type of fat, CT has better resolution but provides greater ionizing radiation exposure, and MRI tends to require longer imaging times and specialized equipment for acquisition and analysis. With the serious need for efficacious and cost-effective therapies to appropriately identify and treat at-risk obese individuals, there is greater need for translational tools that can further elucidate the interplay between body composition and the metabolic aberrations associated with obesity. In conclusion, we will offer our perspective on the evolution toward an ideal imaging method for body composition assessment in obesity and weight loss, and the challenges remaining to achieve this goal.
肥胖是全球公共卫生的一大威胁,主要是由于与内脏脂肪、炎症和胰岛素抵抗相关的合并症增加了 2 型糖尿病和心血管疾病的风险。最初描述这些风险因素的转化研究组合通过影像学技术得到了显著增强,如双能 X 射线吸收法(DEXA)、计算机断层扫描(CT)和磁共振成像(MRI)。在本文中,我们简要回顾了这些技术的重要贡献,以了解身体成分在肥胖相关并发症发病机制中的作用。值得注意的是,这些影像学技术对最近发现的性别和种族在身体成分方面的差异以及减肥过程中身体成分变化模式方面的贡献很大。尽管这些技术有能力生成高质量的身体成分数据,但每种技术都有其局限性。例如,DEXA 无法区分脂肪类型,CT 具有更好的分辨率但提供更大的电离辐射暴露,而 MRI 往往需要更长的成像时间和专门的设备来获取和分析。由于迫切需要有效的、具有成本效益的治疗方法来适当地识别和治疗处于危险中的肥胖个体,因此需要能够进一步阐明身体成分与肥胖相关代谢异常之间相互作用的转化工具。总之,我们将提供我们对肥胖和减肥中身体成分评估的理想成像方法的演变的看法,以及实现这一目标所面临的挑战。