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Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT

BACKGROUND: In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date compa...

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Autores principales: Chan, Benjamin, Yu, Yan, Huang, Fan, Vardhanabhuti, Varut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368369/
https://www.ncbi.nlm.nih.gov/pubmed/37497346
http://dx.doi.org/10.3389/fendo.2023.1211696
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author Chan, Benjamin
Yu, Yan
Huang, Fan
Vardhanabhuti, Varut
author_facet Chan, Benjamin
Yu, Yan
Huang, Fan
Vardhanabhuti, Varut
author_sort Chan, Benjamin
collection PubMed
description BACKGROUND: In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date comparison with three-dimensional whole volume assessment. AIMS: Using CT or MRI three-dimensional whole volume VAT as a reference, we evaluated the correlation of various commonly used modalities and techniques namely body impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) as well as single slice CT to establish how these methods compare. METHODS: We designed the study in two parts. First, we performed an intra-individual comparison of the 4558 participants from the UK Biobank cohorts with matching data of MRI abdominal body composition, DXA with VAT estimation, and BIA. Second, we evaluated 174 CT scans from the publicly available dataset to assess the correlation of the commonly used single-slice technique compared to three-dimensional VAT volume. RESULTS: Across the UK Biobank cohort, the DXA-derived VAT measurement correlated better (R(2) 0.94, p<0.0001) than BIA (R(2) 0.49, p<0.0001) with reference three-dimensional volume on MRI. However, DXA-derived VAT correlation was worse for participants with a BMI of < 20 (R(2) = 0.62, p=0.0013). A commonly used single slice method on CT demonstrated a modest correlation (R(2) between 0.51 – 0.64), with best values at L3- and L4 (R(2) L3 = 0.63, p<0.0001; L4 = 0.64, p<0.0001) compared to reference three-dimensional volume. Combining multiple slices yielded a better correlation, with a strong correlation when L2-L3 levels were combined (R(2) = 0.92, p<0.0001). CONCLUSION: When deployed at scale, DXA-derived VAT volume measurement shows excellent correlation with three-dimensional volume on MRI based on the UK Biobank cohort. Whereas a single slice CT technique demonstrated moderate correlation with three-dimensional volume on CT, with a stronger correlation achieved when multiple levels were combined.
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spelling pubmed-103683692023-07-26 Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT Chan, Benjamin Yu, Yan Huang, Fan Vardhanabhuti, Varut Front Endocrinol (Lausanne) Endocrinology BACKGROUND: In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date comparison with three-dimensional whole volume assessment. AIMS: Using CT or MRI three-dimensional whole volume VAT as a reference, we evaluated the correlation of various commonly used modalities and techniques namely body impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) as well as single slice CT to establish how these methods compare. METHODS: We designed the study in two parts. First, we performed an intra-individual comparison of the 4558 participants from the UK Biobank cohorts with matching data of MRI abdominal body composition, DXA with VAT estimation, and BIA. Second, we evaluated 174 CT scans from the publicly available dataset to assess the correlation of the commonly used single-slice technique compared to three-dimensional VAT volume. RESULTS: Across the UK Biobank cohort, the DXA-derived VAT measurement correlated better (R(2) 0.94, p<0.0001) than BIA (R(2) 0.49, p<0.0001) with reference three-dimensional volume on MRI. However, DXA-derived VAT correlation was worse for participants with a BMI of < 20 (R(2) = 0.62, p=0.0013). A commonly used single slice method on CT demonstrated a modest correlation (R(2) between 0.51 – 0.64), with best values at L3- and L4 (R(2) L3 = 0.63, p<0.0001; L4 = 0.64, p<0.0001) compared to reference three-dimensional volume. Combining multiple slices yielded a better correlation, with a strong correlation when L2-L3 levels were combined (R(2) = 0.92, p<0.0001). CONCLUSION: When deployed at scale, DXA-derived VAT volume measurement shows excellent correlation with three-dimensional volume on MRI based on the UK Biobank cohort. Whereas a single slice CT technique demonstrated moderate correlation with three-dimensional volume on CT, with a stronger correlation achieved when multiple levels were combined. Frontiers Media S.A. 2023-07-11 /pmc/articles/PMC10368369/ /pubmed/37497346 http://dx.doi.org/10.3389/fendo.2023.1211696 Text en Copyright © 2023 Chan, Yu, Huang and Vardhanabhuti https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Chan, Benjamin
Yu, Yan
Huang, Fan
Vardhanabhuti, Varut
Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title_full Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title_fullStr Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title_full_unstemmed Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title_short Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT
title_sort towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with bia, dxa, and single-slice ct
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368369/
https://www.ncbi.nlm.nih.gov/pubmed/37497346
http://dx.doi.org/10.3389/fendo.2023.1211696
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