应用双能X线吸收法测量人体身体成分的精密度  被引量:2

Precision of DXA for the measurements of human body composition

在线阅读下载全文

作  者:肖泽宇[1] 郭斌[1] 弓健[1] 唐勇进[1] 徐浩[1] 

机构地区:[1]暨南大学附属第一医院核医学科,广东广州510632

出  处:《暨南大学学报(自然科学与医学版)》2012年第6期587-590,共4页Journal of Jinan University(Natural Science & Medicine Edition)

基  金:广东省医学科研基金立项项目(A2008354)

摘  要:目的:应用双能X线吸收法(dual-energy X-ray absorptiometry,DXA)测量人体身体成分精密度,探讨DXA对人体身体成分和脂肪分布测量结果的重复性。方法:DXA(GE Lunar Prodigy)对20名健康成年志愿者(男女各10名)进行10次全身重复扫描,应用专用分析软件计算全身骨量(total bone mineral content,TBMC),全身脂肪组织量(total fat mass,TFM),全身瘦组织量(total lean mass,TLM),全身脂肪含量百分数(total body fat percent-age,%TBF),腹部脂肪含量百分数(android fat percentage,%AF),臀部脂肪含量百分数(gynoid fat percentage,%GF),通过计算变异系数均方根(RMS-CV)和标准差均方根(RMS-SD)评价DXA对人体身体成分和脂肪分布测量的精密度。结果:人体全身TBMC,TFM,TLM,%TBF的RMS-CV和RMS-SD分别为1.05%、1.95%、0.93%、1.98%和0.025、0.234、0.377、0.353。脂肪分布测量结果(%AF、%GF)的RMS-CV和RMS-SD分别为2.51%、1.80%和1.153、1.101。结论:DXA测量人体身体成分和脂肪分布具有良好的精密度。Aim:To measure the precision of body composition measurements and fat distribution in human using dual energy X-ray absorptiometry(DXA),and evaluate its reliability. Methods: Ten consecutive total body scans were conducted with DXA(GE Lunar Prodigy)in 20 healthy adult volunteers(10 males,10 females).The software(enCORE,version10.50.086)was used to analyze total bone mineral content(TBMC),total lean mass(TLM),total fat mass(TFM),total body fat percentage(%TBF),android fat percentage(%AF),gynoid fat percentage(%GF),the precision was represented as the coefficient of variation of root mean square(RMS-CV),standard deviation of root mean square(RMS-SD). Results: RMS-CV were 1.05%,1.95%,0.93%,1.98% and RMS-SD were 0.025,0.234,0.377,0.353 for TBMC,TFM,TLM and %TBF.RMS-CV were 2.51,1.80 and RMS-SD were 1.153,1.101 for %AF and %GF. Conclusion:DXA provided excellent precision for the measurements of body composition and fat distribution.

关 键 词:精密度 身体成分 脂肪分布 双能X线吸收法 

分 类 号:R81[医药卫生—放射医学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象