超声在体脂量定量评价中的应用

IF 2.9 Q3 NUTRITION & DIETETICS

Clinical nutrition ESPEN Pub Date : 2025-04-09 DOI:10.1016/j.clnesp.2025.03.175

Yang Gao , Xinyi Tang , Bingjie Liu, Li Qiu

{"title":"超声在体脂量定量评价中的应用","authors":"Yang Gao , Xinyi Tang , Bingjie Liu, Li Qiu","doi":"10.1016/j.clnesp.2025.03.175","DOIUrl":null,"url":null,"abstract":"<div><h3>Background & aims</h3><div>Obesity is a significant health concern associated with various diseases. Accurate measurement of body fat mass (BFM) and local fat thickness (FT) is crucial for health assessment. Ultrasound offers a non-invasive, portable, and cost-effective alternative for measuring FT, but its application for quantitative BFM estimation has not been fully explored. This study aimed to develop and validate a quantitative estimation algorithm for BFM based on local FT measured by ultrasound.</div></div><div><h3>Methods</h3><div>A total of 179 volunteers were randomly divided into modeling and verification groups. BFM was measured using bioelectrical impedance analysis (BIA), and FT was measured at 10 sites throughout the body using ultrasound. In the modeling group, the correlation between FT and BFM at different sites was analyzed, and a BFM estimation algorithm based on FT was developed using multiple linear regression. The accuracy of the estimation equation was validated in the verification group.</div></div><div><h3>Results</h3><div>Men had lower BFM than women (<em>P</em> < 0.05). At most sites, the FT of males was less than that of females (<em>P</em> < 0.001). Significant positive correlations were observed between FT at various sites (site 1 to 10) and BFM across all groups (<em>P</em> < 0.01). The estimation algorithm revealed that FT at 4 sites (intra-abdominal, posterior right perinephric, abdominal subcutaneous, and anterior upper arm) contributed to BFM estimation for men, while two additional sites (pre-peritoneal and posterior lower leg) were valuable for women. The R<sup>2</sup> for the algorithms was 0.882 for men and 0.907 for women, with the standard error of estimate of 2.04 kg for both. The intraclass correlation coefficient between ultrasound-derived estimated BFM and the BFM measured by BIA in the verification group was 0.848 (<em>P</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>BFM can be quantitatively estimated using a fitting algorithm based on ultrasound-derived local FT.</div></div>","PeriodicalId":10352,"journal":{"name":"Clinical nutrition ESPEN","volume":"67 ","pages":"Pages 635-644"},"PeriodicalIF":2.9000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of ultrasound for quantitative assessment of body fat mass\",\"authors\":\"Yang Gao , Xinyi Tang , Bingjie Liu, Li Qiu\",\"doi\":\"10.1016/j.clnesp.2025.03.175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & aims</h3><div>Obesity is a significant health concern associated with various diseases. Accurate measurement of body fat mass (BFM) and local fat thickness (FT) is crucial for health assessment. Ultrasound offers a non-invasive, portable, and cost-effective alternative for measuring FT, but its application for quantitative BFM estimation has not been fully explored. This study aimed to develop and validate a quantitative estimation algorithm for BFM based on local FT measured by ultrasound.</div></div><div><h3>Methods</h3><div>A total of 179 volunteers were randomly divided into modeling and verification groups. BFM was measured using bioelectrical impedance analysis (BIA), and FT was measured at 10 sites throughout the body using ultrasound. In the modeling group, the correlation between FT and BFM at different sites was analyzed, and a BFM estimation algorithm based on FT was developed using multiple linear regression. The accuracy of the estimation equation was validated in the verification group.</div></div><div><h3>Results</h3><div>Men had lower BFM than women (<em>P</em> < 0.05). At most sites, the FT of males was less than that of females (<em>P</em> < 0.001). Significant positive correlations were observed between FT at various sites (site 1 to 10) and BFM across all groups (<em>P</em> < 0.01). The estimation algorithm revealed that FT at 4 sites (intra-abdominal, posterior right perinephric, abdominal subcutaneous, and anterior upper arm) contributed to BFM estimation for men, while two additional sites (pre-peritoneal and posterior lower leg) were valuable for women. The R<sup>2</sup> for the algorithms was 0.882 for men and 0.907 for women, with the standard error of estimate of 2.04 kg for both. The intraclass correlation coefficient between ultrasound-derived estimated BFM and the BFM measured by BIA in the verification group was 0.848 (<em>P</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>BFM can be quantitatively estimated using a fitting algorithm based on ultrasound-derived local FT.</div></div>\",\"PeriodicalId\":10352,\"journal\":{\"name\":\"Clinical nutrition ESPEN\",\"volume\":\"67 \",\"pages\":\"Pages 635-644\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical nutrition ESPEN\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405457725002669\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical nutrition ESPEN","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405457725002669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}

引用次数: 0

摘要

背景,目的肥胖是与多种疾病相关的重大健康问题。准确测量体脂质量（BFM）和局部脂肪厚度（FT）对健康评估至关重要。超声为测量FT提供了一种无创、便携、经济的替代方法，但其在定量BFM估计中的应用尚未得到充分探索。本研究旨在开发并验证一种基于超声测量局部FT的BFM定量估计算法。方法将179名志愿者随机分为建模组和验证组。使用生物电阻抗分析（BIA）测量BFM，使用超声测量全身10个部位的FT。建模组分析FT与不同位点BFM的相关性，采用多元线性回归方法建立基于FT的BFM估计算法。在验证组中验证了估计方程的准确性。结果男性的BFM低于女性(P <；0.05)。在大多数地点，男性的FT小于女性(P <；0.001)。在所有组中，不同位点（位点1至10）的FT与BFM之间观察到显著的正相关(P <；0.01)。估计算法显示，4个部位的FT（腹腔内、右肾周后部、腹腔皮下和上臂前部）有助于男性的BFM估计，而另外两个部位（腹膜前和小腿后部）对女性有价值。该算法的R2为男性为0.882，女性为0.907，两者的估计标准误差为2.04 kg。验证组超声推断BFM与BIA测定BFM的类内相关系数为0.848 (P <；0.001)。结论基于超声局部傅里叶变换的拟合算法可以定量地估计sbfm。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Application of ultrasound for quantitative assessment of body fat mass

Background & aims

Obesity is a significant health concern associated with various diseases. Accurate measurement of body fat mass (BFM) and local fat thickness (FT) is crucial for health assessment. Ultrasound offers a non-invasive, portable, and cost-effective alternative for measuring FT, but its application for quantitative BFM estimation has not been fully explored. This study aimed to develop and validate a quantitative estimation algorithm for BFM based on local FT measured by ultrasound.

Methods

A total of 179 volunteers were randomly divided into modeling and verification groups. BFM was measured using bioelectrical impedance analysis (BIA), and FT was measured at 10 sites throughout the body using ultrasound. In the modeling group, the correlation between FT and BFM at different sites was analyzed, and a BFM estimation algorithm based on FT was developed using multiple linear regression. The accuracy of the estimation equation was validated in the verification group.

Results

Men had lower BFM than women (P < 0.05). At most sites, the FT of males was less than that of females (P < 0.001). Significant positive correlations were observed between FT at various sites (site 1 to 10) and BFM across all groups (P < 0.01). The estimation algorithm revealed that FT at 4 sites (intra-abdominal, posterior right perinephric, abdominal subcutaneous, and anterior upper arm) contributed to BFM estimation for men, while two additional sites (pre-peritoneal and posterior lower leg) were valuable for women. The R² for the algorithms was 0.882 for men and 0.907 for women, with the standard error of estimate of 2.04 kg for both. The intraclass correlation coefficient between ultrasound-derived estimated BFM and the BFM measured by BIA in the verification group was 0.848 (P < 0.001).

Conclusions

BFM can be quantitatively estimated using a fitting algorithm based on ultrasound-derived local FT.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Clinical nutrition ESPEN NUTRITION & DIETETICS-

CiteScore

4.90

自引率

3.30%

发文量

512

期刊介绍： Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.