This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Over the past decade, studies have shown that visceral adipose tissue accumulation and the risk of the metabolic syndrome and cardiovascular disease are related in obese adults and children. Magnetic resonance imaging (MRI) had become a useful technique for the detection and quantification of adipose tissue. In previous investigations, researchers have used conventional spin-echo MR imaging or phantoms to make determinations about the amount of visceral fat. Conventional imaging sequences, however, require a relatively long acquisition time making them inconvenient to implement in large, long-term, multicenter clinical trials. Technical development in the past decade have decrease the scan time for MRI and reduced acquisition times can be used to reduced breathing related artifacts and artifacts from bowel peristalsis which can compromise image quality. More recently, the use of retrospective segmentation techniques have become available. The latter technique allows segmentation of scan data and reconstruction of selected tissues for detailed evaluation. The purpose of this study is to determine the feasibility and reliability of fast MRI with segmentation techniques to quantify and describe the nature of visceral adipose tissue in children with type 2 diabetes mellitus (T2DM) as well as obese and normal weight children without T2DM. If fast MR imaging techniques with segmentation analysis is a feasible method for assessing both total and regional fat in children with T2DM, it may be of value in assessing the impact of intervention studies, such as the effects of different treatment regimens, in children with T2DM who are participating in studies.
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