Quantification of Absolute Fat Mass by Magnetic Resonance Imaging: a Validation Study against Chemical Analysis.

Houchun H Hu, Yan Li, Tim R Nagy, Michael I Goran, Krishna S Nayak
{"title":"Quantification of Absolute Fat Mass by Magnetic Resonance Imaging: a Validation Study against Chemical Analysis.","authors":"Houchun H Hu,&nbsp;Yan Li,&nbsp;Tim R Nagy,&nbsp;Michael I Goran,&nbsp;Krishna S Nayak","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>OBJECTIVE: To develop a magnetic resonance imaging (MRI)-based approach for quantifying absolute fat mass in organs, muscles, and adipose tissues, and to validate its accuracy against reference chemical analysis (CA). METHODS: Chemical-shift imaging can accurately decompose water and fat signals from the acquired MRI data. A proton density fat fraction (PDFF) can be computed from the separated images, and reflects the relative fat content on a voxel-by-voxel basis. The PDFF is mathematically closely related to the fat mass fraction and can be converted to absolute fat mass in grams by multiplying by the voxel volume and the mass density of fat. In this validation study, 97 freshly excised and unique samples from four pigs, comprising of organs, muscles, and adipose and lean tissues were imaged by MRI and then analyzed independently by CA. Linear regression was used to assess correlation, agreement, and measurement differences between MRI and CA. RESULTS: Considering all 97 samples, a strong correlation and agreement was obtained between MRI and CA-derived fat mass (slope = 1.01, intercept = 1.99g, r(2) = 0.98, p < 0.01). The mean difference d between MRI and CA was 2.17±3.40g. MRI did not exhibit any tendency to under or overestimate CA (p > 0.05). When considering samples from each pig separately, the results were (slope = 1.05, intercept = 1.11g, r(2) = 0.98, d = 2.66±4.36g), (slope = 0.99, intercept = 2.33g, r(2) = 0.99, d = 1.88±2.68g), (slope = 1.07, intercept = 1.52g, r(2) = 0.96, d = 2.73±2.50g), and (slope=0.92, intercept=2.84g, r(2) = 0.97, d = 1.18±3.90g), respectively. CONCLUSION: Chemical-shift MRI and PDFF provides an accurate means of determining absolute fat mass in organs, muscles, and adipose and lean tissues.</p>","PeriodicalId":87474,"journal":{"name":"International journal of body composition research","volume":"9 3","pages":"111-122"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3509746/pdf/nihms341146.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of body composition research","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

OBJECTIVE: To develop a magnetic resonance imaging (MRI)-based approach for quantifying absolute fat mass in organs, muscles, and adipose tissues, and to validate its accuracy against reference chemical analysis (CA). METHODS: Chemical-shift imaging can accurately decompose water and fat signals from the acquired MRI data. A proton density fat fraction (PDFF) can be computed from the separated images, and reflects the relative fat content on a voxel-by-voxel basis. The PDFF is mathematically closely related to the fat mass fraction and can be converted to absolute fat mass in grams by multiplying by the voxel volume and the mass density of fat. In this validation study, 97 freshly excised and unique samples from four pigs, comprising of organs, muscles, and adipose and lean tissues were imaged by MRI and then analyzed independently by CA. Linear regression was used to assess correlation, agreement, and measurement differences between MRI and CA. RESULTS: Considering all 97 samples, a strong correlation and agreement was obtained between MRI and CA-derived fat mass (slope = 1.01, intercept = 1.99g, r(2) = 0.98, p < 0.01). The mean difference d between MRI and CA was 2.17±3.40g. MRI did not exhibit any tendency to under or overestimate CA (p > 0.05). When considering samples from each pig separately, the results were (slope = 1.05, intercept = 1.11g, r(2) = 0.98, d = 2.66±4.36g), (slope = 0.99, intercept = 2.33g, r(2) = 0.99, d = 1.88±2.68g), (slope = 1.07, intercept = 1.52g, r(2) = 0.96, d = 2.73±2.50g), and (slope=0.92, intercept=2.84g, r(2) = 0.97, d = 1.18±3.90g), respectively. CONCLUSION: Chemical-shift MRI and PDFF provides an accurate means of determining absolute fat mass in organs, muscles, and adipose and lean tissues.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
磁共振成像定量绝对脂肪质量:对化学分析的验证研究。
目的:建立一种基于磁共振成像(MRI)的方法来定量器官、肌肉和脂肪组织的绝对脂肪量,并验证其与参考化学分析(CA)的准确性。方法:化学移位成像能准确地从采集的MRI数据中分解水和脂肪信号。质子密度脂肪分数(PDFF)可以从分离的图像中计算出来,并以体素为单位反映相对脂肪含量。PDFF在数学上与脂肪质量分数密切相关,可以通过乘以体素体积和脂肪的质量密度来转换成以克为单位的绝对脂肪质量。在这项验证性研究中,对来自4头猪的97个新鲜切除的独特样本(包括器官、肌肉、脂肪和瘦肉组织)进行MRI成像,然后通过CA独立分析。使用线性回归来评估MRI和CA之间的相关性、一致性和测量差异。结果:考虑所有97个样本,MRI和CA衍生的脂肪量之间具有很强的相关性和一致性(斜率= 1.01,截距= 1.99g, r(2) = 0.98, p < 0.01)。MRI与CA的平均差值为2.17±3.40g。MRI未显示CA有过低或过高的倾向(p > 0.05)。分别对每头猪样本进行分析,结果分别为(斜率= 1.05,截距= 1.11g, r(2) = 0.98, d = 2.66±4.36g)、(斜率= 0.99,截距= 2.33g, r(2) = 0.99, d = 1.88±2.68g)、(斜率= 1.07,截距= 1.52g, r(2) = 0.96, d = 2.73±2.50g)和(斜率=0.92,截距=2.84g, r(2) = 0.97, d = 1.18±3.90g)。结论:化学位移MRI和PDFF提供了一种准确的方法来确定器官、肌肉、脂肪和瘦肉组织的绝对脂肪量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Atypical antipsychotic drugs inhibit trabecular bone accrual in C57BL/6J mice. Chemical-shift water-fat MRI of white adipose depots: inability to resolve cell size differences. Estimation of whole body fat from appendicular soft tissue from peripheral quantitative computed tomography in adolescent girls. Improved body composition assessment using biceps skinfold and physical activity score in premenarcheal girls: a DXA-based validation study. Anthropometric indices as measures of body fat assessed by DXA in relation to cardiovascular risk factors in children and adolescents: NHANES 1999-2004.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1