Why the study?
To evaluate the correlation between ultrasound measurements of visceral adipose tissue in different locations and CT-estimated visceral fat area parameters, and determine diagnostic cut-off values in metabolic syndrome.
Does ultrasound measurement of visceral adipose tissue correlate with computed tomography and provide diagnostic cut-off values in patients with metabolic syndrome?
Does ultrasound measurement of visceral adipose tissue correlate with computed tomography and provide diagnostic cut-off values in patients with metabolic syndrome?
Ultrasound measurements of visceral adipose tissue highly correlate with CT results and provide effective diagnostic cut-off values for metabolic syndrome.
Ultrasound VAT indices may offer a practical CT alternative for metabolic syndrome; leaves open prospective validation before clinical adoption.
Summary The aim of this study was to evaluate the correlation between ultrasound measurements of visceral adipose tissue (VAT) in different locations and visceral fat area parameters estimated by computed tomography (CT), as well as to determine the cut‐off values of ultrasound measurements in patients with metabolic syndrome and in normal controls. Altogether, 304 patients aged 18 to 65 years were enrolled in the study. Ultrasound measurements of visceral fat volume were performed using a number of already described techniques. The correlations of ultrasound indices of VAT and СТ (104 patients) ranged from 0.420 to 0.726. For the most effective diagnostic VAT ultrasound indices, the cut‐off values in metabolic syndrome were (200 patients): 21.12 cm 2 for the inferior part of perirenal fat (AUC = 0.983); and 47.00, 61.3 and 72.7 mm for the distance between the internal surface of the rectus abdominis muscle and the anterior wall of the aorta, the posterior wall of the aorta and the lumbar vertebra (AUC = 0.960, 0.966, 0.968, respectively). Ultrasound VAT measurements highly correlated with CT results. Cut‐off VAT values, determined by ultrasound for the patients with metabolic syndrome, yielded good diagnostic operational characteristics.
No takes yet. Share an insight, caveat, or question.
Пиманов et al. (2020) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: