Why the study?
Does a fully automatic segmentation algorithm accurately classify abdominal adipose tissues compared to manual segmentation in normal and overweight men?
Population
82 men, including 44 normal weight (BMI 18.0-22.9 kg/m2) and 38 overweight (BMI 23.0-29.9 kg/m2) subjects.
Comparison
Fully automatic segmentation algorithm using… vs Manual segmentation (ground truth).
Design
Other
Authors
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Supports automated abdominal fat segmentation for research; leaves open broader clinical validation.
Does a fully automatic segmentation algorithm accurately classify abdominal adipose tissues compared to manual segmentation in normal and overweight men?
An automated MRI segmentation algorithm accurately quantifies visceral and subcutaneous abdominal fat depots, demonstrating a shift toward deep subcutaneous fat with increasing obesity.
Sadananthan et al. (2014) studied this question.
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