Computed tomographic abdominal fat volume estimation - a handy tool to predict the risk of metabolic syndrome

2023
journal article
article
dc.abstract.enPurpose: Abdominal obesity plays a significant role in the development of metabolic syndrome, with individual metabolic risk profiles for visceral and subcutaneous adipose tissues. This study aimed to calculate and correlate the subcutaneous, visceral, and total fat compartment volume in metabolic and non-metabolic syndrome patients. Material and methods: This was a cross-sectional study conducted on 112 patients categorized into Group A (with metabolic syndrome) and Group B (without metabolic syndrome). They were subjected to computed tomography (CT) study of the abdomen using a 128-slice MDCT scanner. Body mass index (BMI), visceral fat volume (VFV), subcutaneous fat volume (SFV), and total fat volume (TFV) were calculated and correlated with biochemical evidence of metabolic syndrome. Results: The mean age of patients in Group A was 60.91 ± 12.23 years as compared to Group B, which was 50.12 ± 16.30 years. Overall, a male predominance was observed, i.e. 69 cases (61.6%). BMI was proven to be an inaccurate risk predictor. However, mean VFV, SFV, and TFV was statistically higher in patients with metabolic syndrome (<i>p</i> = 0.001), with visceral fat volume predicting a higher risk in females (<i>p</i> = 0.026). Conclusions: Abdominal CT is a commonly performed yet unexplored tool for the risk assessment of metabolic syndrome. Through the results obtained in this study, we have proven the need for calculating SFV, VFV, and TFV as predictors of metabolic syndrome in comparison to the conventional practice of BMI assessment. The radiologist can thus work with the clinician to effectively detect and treat this health condition.
dc.contributor.authorG.C., Navaneeth
dc.contributor.authorHiremath, Rudresh
dc.contributor.authorPoojary, Shweta Raviraj
dc.contributor.authorKini, Divya Vishwanatha
dc.contributor.authorChittaragi, Kavitha B.
dc.date.accessioned2024-07-23T05:39:50Z
dc.date.available2024-07-23T05:39:50Z
dc.date.issued2023
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e387-e388
dc.description.physicale379-e388
dc.description.versionostateczna wersja wydawcy
dc.description.volume88
dc.identifier.doi10.5114/pjr.2023.131010
dc.identifier.issn1899-0967
dc.identifier.urihttps://ruj.uj.edu.pl/handle/item/389151
dc.languageeng
dc.language.containereng
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.typeotwarte czasopismo
dc.subject.encomputed tomography
dc.subject.enbody mass index
dc.subject.enmetabolic syndrome
dc.subject.enabdominal visceral fat
dc.subject.enabdominal subcutaneous fat
dc.subtypeArticle
dc.titleComputed tomographic abdominal fat volume estimation - a handy tool to predict the risk of metabolic syndrome
dc.title.journalPolish Journal of Radiology
dc.typeJournalArticle
dspace.entity.typePublicationen
dc.abstract.en
Purpose: Abdominal obesity plays a significant role in the development of metabolic syndrome, with individual metabolic risk profiles for visceral and subcutaneous adipose tissues. This study aimed to calculate and correlate the subcutaneous, visceral, and total fat compartment volume in metabolic and non-metabolic syndrome patients. Material and methods: This was a cross-sectional study conducted on 112 patients categorized into Group A (with metabolic syndrome) and Group B (without metabolic syndrome). They were subjected to computed tomography (CT) study of the abdomen using a 128-slice MDCT scanner. Body mass index (BMI), visceral fat volume (VFV), subcutaneous fat volume (SFV), and total fat volume (TFV) were calculated and correlated with biochemical evidence of metabolic syndrome. Results: The mean age of patients in Group A was 60.91 ± 12.23 years as compared to Group B, which was 50.12 ± 16.30 years. Overall, a male predominance was observed, i.e. 69 cases (61.6%). BMI was proven to be an inaccurate risk predictor. However, mean VFV, SFV, and TFV was statistically higher in patients with metabolic syndrome (<i>p</i> = 0.001), with visceral fat volume predicting a higher risk in females (<i>p</i> = 0.026). Conclusions: Abdominal CT is a commonly performed yet unexplored tool for the risk assessment of metabolic syndrome. Through the results obtained in this study, we have proven the need for calculating SFV, VFV, and TFV as predictors of metabolic syndrome in comparison to the conventional practice of BMI assessment. The radiologist can thus work with the clinician to effectively detect and treat this health condition.
dc.contributor.author
G.C., Navaneeth
dc.contributor.author
Hiremath, Rudresh
dc.contributor.author
Poojary, Shweta Raviraj
dc.contributor.author
Kini, Divya Vishwanatha
dc.contributor.author
Chittaragi, Kavitha B.
dc.date.accessioned
2024-07-23T05:39:50Z
dc.date.available
2024-07-23T05:39:50Z
dc.date.issued
2023
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additional
Bibliogr. s. e387-e388
dc.description.physical
e379-e388
dc.description.version
ostateczna wersja wydawcy
dc.description.volume
88
dc.identifier.doi
10.5114/pjr.2023.131010
dc.identifier.issn
1899-0967
dc.identifier.uri
https://ruj.uj.edu.pl/handle/item/389151
dc.language
eng
dc.language.container
eng
dc.rights
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.en
computed tomography
dc.subject.en
body mass index
dc.subject.en
metabolic syndrome
dc.subject.en
abdominal visceral fat
dc.subject.en
abdominal subcutaneous fat
dc.subtype
Article
dc.title
Computed tomographic abdominal fat volume estimation - a handy tool to predict the risk of metabolic syndrome
dc.title.journal
Polish Journal of Radiology
dc.type
JournalArticle
dspace.entity.typeen
Publication
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