Detailed Information

Cited 0 time in webofscience Cited 8 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Eun Ji-
dc.contributor.authorCho, Nam-Jun-
dc.contributor.authorKim, Hyoungnae-
dc.contributor.authorNam, Boda-
dc.contributor.authorJeon, Jin Seok-
dc.contributor.authorNoh, Hyunjin-
dc.contributor.authorHan, Dong Cheol-
dc.contributor.authorKim, Sang Hyun-
dc.contributor.authorKwon, Soon Hyo-
dc.date.accessioned2022-01-25T01:40:18Z-
dc.date.available2022-01-25T01:40:18Z-
dc.date.issued2022-01-
dc.identifier.issn0938-7994-
dc.identifier.issn1432-1084-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/20255-
dc.description.abstractObjectives 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.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleAbdominal periaortic and renal sinus fat attenuation indices measured on computed tomography are associated with metabolic syndrome-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/s00330-021-08090-7-
dc.identifier.scopusid2-s2.0-85108624769-
dc.identifier.wosid000664405200008-
dc.identifier.bibliographicCitationEuropean Radiology, v.32, no.1, pp 395 - 404-
dc.citation.titleEuropean Radiology-
dc.citation.volume32-
dc.citation.number1-
dc.citation.startPage395-
dc.citation.endPage404-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusPERIVASCULAR ADIPOSE-TISSUE-
dc.subject.keywordPlusCARDIOMETABOLIC RISK-
dc.subject.keywordPlusCARDIOVASCULAR RISK-
dc.subject.keywordPlusADIPOCYTE SIZE-
dc.subject.keywordPlusQUANTITY-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordAuthorObesity-
dc.subject.keywordAuthorMetabolic syndrome-
dc.subject.keywordAuthorAdipose tissue-
dc.subject.keywordAuthorIntra-abdominal fat-
dc.subject.keywordAuthorMultidetector computed tomography-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of General Surgery > 1. Journal Articles
College of Medicine > Department of Internal Medicine > 1. Journal Articles
College of Medicine > Department of Internal Medicine > 1. Journal Articles
College of Medicine > Department of Radiology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Nam, Bo Da photo

Nam, Bo Da
College of Medicine (Department of Radiology)
Read more

Altmetrics

Total Views & Downloads

BROWSE