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Abdominal periaortic and renal sinus fat attenuation indices measured on computed tomography are associated with metabolic syndrome

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Abstract
OBJECTIVES: To investigate the association between abdominal periaortic (APA) and renal sinus (RS) fat attenuation index (FAI) measured on MDCT and metabolic syndrome in non-obese and obese individuals. METHODS: Visceral, subcutaneous, RS, and APA adipose tissue were measured in preoperative abdominal CT scans of individuals who underwent donor nephrectomy (n = 84) or bariatric surgery (n = 155). FAI was defined as the mean attenuation of measured fat volume. Participants were categorized into four groups: non-obese without metabolic syndrome (n = 64), non-obese with metabolic syndrome (n = 25), obese without metabolic syndrome (n = 21), and obese with metabolic syndrome (n = 129). The volume and FAI of each fat segment were compared among the groups. Receiver operator characteristics curve analysis was used to assess the association between the FAIs and metabolic syndrome. RESULTS: FAIs of all abdominal fat segments were significantly lower in the obese group than in the non-obese group (p < 0.001). RS, APA, and the visceral adipose tissue FAIs were significantly lower in participants with metabolic syndrome than in those without metabolic syndrome in the non-obese group (p < 0.001, p = 0.006, and p < 0.001, respectively). The area under the curve for predicting metabolic syndrome was significantly higher for APA FAI (0.790) than subcutaneous, visceral, and RS FAI in all groups (0.649, 0.647, and 0.655, respectively). CONCLUSION: Both metabolic syndrome and obesity were associated with lower RS and APA adipose tissue FAI, and APA FAI performed best for predicting metabolic syndrome. KEY POINTS: • The volume and FAI of RS, APA, and visceral adipose tissue showed opposite trends with regard to metabolic syndrome or obesity. • Both metabolic syndrome and obesity were associated with lower RS FAI and APA FAI. • APA FAIperformed best for predicting metabolic syndrome among FAIs of abdominal fat segments.
All Author(s)
E. J. Lee ; N. J. Cho ; H. Kim ; B. Nam ; J. S. Jeon ; H. Noh ; D. C. Han ; S. H. Kim ; S. H. Kwon
Issued Date
2022
Type
Article
Keyword
Abdominal Fat/diagnostic imagingHumansIntra-Abdominal Fat/diagnostic imaging*Metabolic Syndrome/complications/diagnostic imagingObesity/complications/diagnostic imagingTomography, X-Ray ComputedAdipose tissueIntra-abdominal fatMetabolic syndromeMultidetector computed tomography Obesity
ISSN
0938-7994
Citation Title
European Radiology
Citation Volume
32
Citation Number
1
Citation Start Page
395
Citation End Page
404
Language(ISO)
eng
DOI
10.1007/s00330-021-08090-7
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/616
Appears in Collections:
신장내과 > 1. Journal Papers
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