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Development and reproducibility of a computed tomography-based measurement of renal sinus fat

BACKGROUND: Renal sinus fat may mediate obesity-related vascular disease, although this fat depot has not been assessed in a community-based sample. We sought to develop a protocol to quantify renal sinus fat accumulation using multi-detector computed tomography (MDCT). METHODS: Protocol development...

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Autores principales: Foster, Meredith C, Hwang, Shih-Jen, Porter, Stacy A, Massaro, Joseph M, Hoffmann, Udo, Fox, Caroline S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198884/
https://www.ncbi.nlm.nih.gov/pubmed/21970591
http://dx.doi.org/10.1186/1471-2369-12-52
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author Foster, Meredith C
Hwang, Shih-Jen
Porter, Stacy A
Massaro, Joseph M
Hoffmann, Udo
Fox, Caroline S
author_facet Foster, Meredith C
Hwang, Shih-Jen
Porter, Stacy A
Massaro, Joseph M
Hoffmann, Udo
Fox, Caroline S
author_sort Foster, Meredith C
collection PubMed
description BACKGROUND: Renal sinus fat may mediate obesity-related vascular disease, although this fat depot has not been assessed in a community-based sample. We sought to develop a protocol to quantify renal sinus fat accumulation using multi-detector computed tomography (MDCT). METHODS: Protocol development was performed in participants in the Framingham Offspring cohort who underwent MDCT. Volumetric renal sinus fat was measured separately within the right and left kidneys, and renal sinus fat area within a single MDCT scan slice was measured in the right kidney. Due to the high correlation of volumetric and single-slice renal sinus fat in the right kidney (Pearson correlation [r] = 0.85, p < 0.0001), we optimized a single-slice protocol to capture renal sinus fat in the right kidney alone. Pearson correlation coefficients were used to compare to assess the correlation of volumetric and single-slice renal sinus fat in the right kidney with other measures of adiposity. Inter- and intra-reader reproducibility was assessed using intra-class correlation coefficients. RESULTS: Single-slice measurements were obtained in 92 participants (mean age 60 years, 49% women, median renal sinus fat 0.43 cm(2)). Intra- and inter-reader intra-class correlation coefficients were 0.93 and 0.86, respectively. Single-slice renal sinus fat was correlated with body mass index (r = 0.35, p = 0.0006), waist circumference (r = 0.31, p = 0.003), and abdominal visceral fat (r = 0.48, p < 0.0001). Similar correlations were observed for volumetric renal sinus fat in the right kidney. CONCLUSIONS: Measuring renal sinus fat is feasible and reproducible using MDCT scans in a community-based sample.
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spelling pubmed-31988842011-10-23 Development and reproducibility of a computed tomography-based measurement of renal sinus fat Foster, Meredith C Hwang, Shih-Jen Porter, Stacy A Massaro, Joseph M Hoffmann, Udo Fox, Caroline S BMC Nephrol Technical Advance BACKGROUND: Renal sinus fat may mediate obesity-related vascular disease, although this fat depot has not been assessed in a community-based sample. We sought to develop a protocol to quantify renal sinus fat accumulation using multi-detector computed tomography (MDCT). METHODS: Protocol development was performed in participants in the Framingham Offspring cohort who underwent MDCT. Volumetric renal sinus fat was measured separately within the right and left kidneys, and renal sinus fat area within a single MDCT scan slice was measured in the right kidney. Due to the high correlation of volumetric and single-slice renal sinus fat in the right kidney (Pearson correlation [r] = 0.85, p < 0.0001), we optimized a single-slice protocol to capture renal sinus fat in the right kidney alone. Pearson correlation coefficients were used to compare to assess the correlation of volumetric and single-slice renal sinus fat in the right kidney with other measures of adiposity. Inter- and intra-reader reproducibility was assessed using intra-class correlation coefficients. RESULTS: Single-slice measurements were obtained in 92 participants (mean age 60 years, 49% women, median renal sinus fat 0.43 cm(2)). Intra- and inter-reader intra-class correlation coefficients were 0.93 and 0.86, respectively. Single-slice renal sinus fat was correlated with body mass index (r = 0.35, p = 0.0006), waist circumference (r = 0.31, p = 0.003), and abdominal visceral fat (r = 0.48, p < 0.0001). Similar correlations were observed for volumetric renal sinus fat in the right kidney. CONCLUSIONS: Measuring renal sinus fat is feasible and reproducible using MDCT scans in a community-based sample. BioMed Central 2011-10-04 /pmc/articles/PMC3198884/ /pubmed/21970591 http://dx.doi.org/10.1186/1471-2369-12-52 Text en Copyright ©2011 Foster et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Advance
Foster, Meredith C
Hwang, Shih-Jen
Porter, Stacy A
Massaro, Joseph M
Hoffmann, Udo
Fox, Caroline S
Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title_full Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title_fullStr Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title_full_unstemmed Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title_short Development and reproducibility of a computed tomography-based measurement of renal sinus fat
title_sort development and reproducibility of a computed tomography-based measurement of renal sinus fat
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198884/
https://www.ncbi.nlm.nih.gov/pubmed/21970591
http://dx.doi.org/10.1186/1471-2369-12-52
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