Deep learning –based fully automated body composition analysis of thigh CT: comparison with DXA measurement

ConclusionsVolumetric CT measurements with DL-based fully automated segmentation are a rapid and more accurate method for measuring thigh tissue composition.Key Points• There was a positive correlation between CT and DXA measurements in both the whole body and thigh.• DXA overestimated thigh lean mass by 10%, lean muscle mass by 47%, but underestimated total fat mass by 20% compared to the CT method.• The equations for predicting CT volume (cm3) were developed using DXA data (g), age, height (cm), and body weight (kg) and good model performance was proven in the validation study.
Source: European Radiology - Category: Radiology Source Type: research