Why the study?
Does an automated segmentation algorithm accurately quantify visceral and subcutaneous fat on volumetric CT compared to radiologist manual segmentation?
Population
9 patients (419 axial CT slices) with CT scans of the abdomen and pelvis
Comparison
Automated segmentation algorithm for visceral… vs Radiologist's manual adjustments/segmentation
Design
Other
Authors
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Supports automated CT fat segmentation feasibility; leaves open prospective validation before clinical or research adoption.
Does an automated segmentation algorithm accurately quantify visceral and subcutaneous fat on volumetric CT compared to radiologist manual segmentation?
An automated algorithm can accurately segment and quantify visceral and subcutaneous fat on volumetric CT scans, closely matching radiologist measurements.
Zhao et al. (2006) studied this question.
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