Background/objectives: To evaluate anthropometric measures for the prediction of whole-abdominal adipose tissue volumes V (subcutaneous V, visceral V and total V) in patients with obesity.
Subjects/methods: A total of 181 patients (108 women) with overweight or obesity were analyzed retrospectively. MRI data (1.
Different types of adipose tissue can be accurately localized and quantified by tomographic imaging techniques (MRI or CT). One common shortcoming for the abdominal subcutaneous adipose tissue (ASAT) of obese subjects is the technically restricted imaging field of view (FOV). This work derives equations for the conversion between six surrogate measures and fully segmented ASAT volume and discusses the predictive power of these image-based quantities.
View Article and Find Full Text PDFPurpose: Cross-sectional imaging is increasingly used to quantify adipose tissue compartments in subjects with overweight or obesity. The lack of ionizing radiation makes magnetic resonance imaging (MRI) highly preferable to computed tomography (CT) although it is generally less standardized and time-consuming. Fat areas of single or stacks of neighboring slices have previously been considered as surrogates to avoid laborious processing of whole abdominal data-but studies are inconsistent in design and results.
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