Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank

Abstract Background Magnetic resonance imaging (MRI) is the gold standard for evaluating body composition. However, the reference ranges have not been established. Methods Three lean tissue and seven adipose tissue parameters based on MRI data from the UK Biobank were used in this study. Participant...

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Main Authors: Liang Dai, Xiao‐yan Huang, Yue‐qi Lu, Yu‐yang Liu, Cong‐ying Song, Jing‐wen Zhang, Jing Li, Yue Zhang, Ying Shan, Yu Shi
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
Online Access:https://doi.org/10.1002/jcsm.13181
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author Liang Dai
Xiao‐yan Huang
Yue‐qi Lu
Yu‐yang Liu
Cong‐ying Song
Jing‐wen Zhang
Jing Li
Yue Zhang
Ying Shan
Yu Shi
author_facet Liang Dai
Xiao‐yan Huang
Yue‐qi Lu
Yu‐yang Liu
Cong‐ying Song
Jing‐wen Zhang
Jing Li
Yue Zhang
Ying Shan
Yu Shi
author_sort Liang Dai
collection DOAJ
description Abstract Background Magnetic resonance imaging (MRI) is the gold standard for evaluating body composition. However, the reference ranges have not been established. Methods Three lean tissue and seven adipose tissue parameters based on MRI data from the UK Biobank were used in this study. Participants with European ancestry and data on at least one parameter were screened. Age‐ and sex‐specific percentile curves were generated using the lambda–mu–sigma method. Three levels of reference ranges were provided, which were equivalent to the mean ± 1 standard deviation (SD), 2 SDs and 2.5 SDs. Results The final analysis set for each parameter ranged from 4842 to 14 148 participants (53.4%–56.6% women) with a median age of 61. For lean tissue parameters, compared with those at age 45, the median total lean tissue volume and total thigh fat‐free muscle volume at age 70 were 2.83 and 1.73 L, and 3.02 and 1.51 L lower in men and women, respectively. The median weight‐to‐muscle ratios at age 45 were 0.51 and 0.83 kg/L lower compared with those at age 70 in men and women, respectively. Adipose tissue parameters showed inconsistent differences. In men, the median muscle fat infiltration, visceral adipose tissue (VAT) volume, total abdominal adipose tissue index and abdominal fat ratio were 1.48%, 0.32 L, 0.08 L/m2 and 0.4 higher, and the median abdominal subcutaneous adipose tissue (ASAT) volume and total adipose tissue volume were 0.47 and 0.41 L lower, respectively, at age 70 than at age 45. The median total trunk fat volume was approximately 9.53 L at all ages. In women, the median muscle fat infiltration and VAT volume were 1.68% and 0.76 L higher, respectively, at age 70 than at age 45. The median ASAT volume, total adipose tissue volume, total trunk fat volume, total abdominal adipose tissue index and abdominal fat ratio were 0.35 L, 0.78 L, 1.12 L, 0.49 L/m2 and 0.06 higher, respectively, at age 60 than at age 45. The medians of the former three parameters were 0.33 L, 0.14 L and 0.20 L lower, at age 70 than at age 60. The medians of the latter two parameters were approximately 3.64 L/m2 and 0.55 at ages between 60 and 70. Conclusions We have established reference ranges for MRI‐measured body composition parameters in a large community‐dwelling population. These findings provide a more accurate assessment of abnormal adipose and muscle conditions.
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spelling doaj.art-07376b68af5c47e1aa8eeef5b3d2107b2023-04-03T02:38:50ZengWileyJournal of Cachexia, Sarcopenia and Muscle2190-59912190-60092023-04-01142992100210.1002/jcsm.13181Defining reference values for body composition indices by magnetic resonance imaging in UK BiobankLiang Dai0Xiao‐yan Huang1Yue‐qi Lu2Yu‐yang Liu3Cong‐ying Song4Jing‐wen Zhang5Jing Li6Yue Zhang7Ying Shan8Yu Shi9Clinical Research Academy Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaClinical Research Academy Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaBGI‐Shenzhen Shenzhen ChinaBGI‐Shenzhen Shenzhen ChinaClinical Research Academy Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaRenal Division Peking University Shenzhen Hospital, Peking University Shenzhen ChinaClinical Research Academy Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaRenal Division Peking University Shenzhen Hospital, Peking University Shenzhen ChinaClinical Research Academy Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaDepartment of Ultrasound Peking University Shenzhen Hospital, Peking University Shenzhen Guangdong ChinaAbstract Background Magnetic resonance imaging (MRI) is the gold standard for evaluating body composition. However, the reference ranges have not been established. Methods Three lean tissue and seven adipose tissue parameters based on MRI data from the UK Biobank were used in this study. Participants with European ancestry and data on at least one parameter were screened. Age‐ and sex‐specific percentile curves were generated using the lambda–mu–sigma method. Three levels of reference ranges were provided, which were equivalent to the mean ± 1 standard deviation (SD), 2 SDs and 2.5 SDs. Results The final analysis set for each parameter ranged from 4842 to 14 148 participants (53.4%–56.6% women) with a median age of 61. For lean tissue parameters, compared with those at age 45, the median total lean tissue volume and total thigh fat‐free muscle volume at age 70 were 2.83 and 1.73 L, and 3.02 and 1.51 L lower in men and women, respectively. The median weight‐to‐muscle ratios at age 45 were 0.51 and 0.83 kg/L lower compared with those at age 70 in men and women, respectively. Adipose tissue parameters showed inconsistent differences. In men, the median muscle fat infiltration, visceral adipose tissue (VAT) volume, total abdominal adipose tissue index and abdominal fat ratio were 1.48%, 0.32 L, 0.08 L/m2 and 0.4 higher, and the median abdominal subcutaneous adipose tissue (ASAT) volume and total adipose tissue volume were 0.47 and 0.41 L lower, respectively, at age 70 than at age 45. The median total trunk fat volume was approximately 9.53 L at all ages. In women, the median muscle fat infiltration and VAT volume were 1.68% and 0.76 L higher, respectively, at age 70 than at age 45. The median ASAT volume, total adipose tissue volume, total trunk fat volume, total abdominal adipose tissue index and abdominal fat ratio were 0.35 L, 0.78 L, 1.12 L, 0.49 L/m2 and 0.06 higher, respectively, at age 60 than at age 45. The medians of the former three parameters were 0.33 L, 0.14 L and 0.20 L lower, at age 70 than at age 60. The medians of the latter two parameters were approximately 3.64 L/m2 and 0.55 at ages between 60 and 70. Conclusions We have established reference ranges for MRI‐measured body composition parameters in a large community‐dwelling population. These findings provide a more accurate assessment of abnormal adipose and muscle conditions.https://doi.org/10.1002/jcsm.13181Abdominal body compositionLambda–mu–sigma methodMagnetic resonance imagingReference ranges
spellingShingle Liang Dai
Xiao‐yan Huang
Yue‐qi Lu
Yu‐yang Liu
Cong‐ying Song
Jing‐wen Zhang
Jing Li
Yue Zhang
Ying Shan
Yu Shi
Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
Journal of Cachexia, Sarcopenia and Muscle
Abdominal body composition
Lambda–mu–sigma method
Magnetic resonance imaging
Reference ranges
title Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
title_full Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
title_fullStr Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
title_full_unstemmed Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
title_short Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank
title_sort defining reference values for body composition indices by magnetic resonance imaging in uk biobank
topic Abdominal body composition
Lambda–mu–sigma method
Magnetic resonance imaging
Reference ranges
url https://doi.org/10.1002/jcsm.13181
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