Accurate body composition measures from whole-body silhouettes

被引:15
|
作者
Xie, Bowen [1 ]
Avila, Jesus I. [1 ]
Ng, Bennett K. [1 ]
Fan, Bo [1 ]
Loo, Victoria [2 ]
Gilsanz, Vicente [3 ]
Hangartner, Thomas [4 ]
Kalkwarf, Heidi J. [5 ]
Lappe, Joan [6 ]
Oberfield, Sharon [7 ]
Winer, Karen [8 ]
Zemel, Babette [9 ]
Shepherd, John A. [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94115 USA
[2] Yale Univ, Dept Polit Sci, New Haven, CT 06520 USA
[3] Childrens Hosp Los Angeles, Los Angeles, CA 90027 USA
[4] Wright State Univ, Dept Biomed Ind & Human Factors Engn, Dayton, OH 45435 USA
[5] Cincinnati Childrens Hosp Med Ctr, Cincinnati, OH 45229 USA
[6] Creighton Univ, Dept Endocrinol, Omaha, NE 68131 USA
[7] Columbia Univ, Dept Pediat, New York, NY 10032 USA
[8] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Bethesda, MD 20892 USA
[9] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
关键词
silhouettes; body composition; dual-energy x-ray; absorptiometry; active shape modeling; BIOELECTRICAL-IMPEDANCE ANALYSIS; SAGITTAL ABDOMINAL DIAMETER; BONE-MINERAL DENSITY; MASS INDEX; WAIST CIRCUMFERENCE; REFERENCE CURVES; CHART ANALYSIS; RISK-FACTORS; FAT; CHILDREN;
D O I
10.1118/1.4926557
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Obesity and its consequences, such as diabetes, are global health issues that burden about 171x10(6) adult individuals worldwide. Fat mass index (FMI, kg/m(2)), fat-free mass index (FFMI, kg/m(2)), and percent fat mass may be useful to evaluate under-and overnutrition and muscle development in a clinical or research environment. This proof-of-concept study tested whether frontal whole-body silhouettes could be used to accurately measure body composition parameters using active shape modeling (ASM) techniques. Methods: Binary shape images (silhouettes) were generated from the skin outline of dual-energy x-ray absorptiometry (DXA) whole-body scans of 200 healthy children of ages from 6 to 16 yr. The silhouette shape variation from the average was described using an ASM, which computed principal components for unique modes of shape. Predictive models were derived from the modes for FMI, FFMI, and percent fat using stepwise linear regression. The models were compared to simple models using demographics alone [age, sex, height, weight, and body mass index z-scores (BMIZ)]. Results: The authors found that 95% of the shape variation of the sampled population could be explained using 26 modes. In most cases, the body composition variables could be predicted similarly between demographics-only and shape-only models. However, the combination of shape with demographics improved all estimates of boys and girls compared to the demographics-only model. The best prediction models for FMI, FFMI, and percent fat agreed with the actual measures with R-2 adj. (the coefficient of determination adjusted for the number of parameters used in the model equation) values of 0.86, 0.95, and 0.75 for boys and 0.90, 0.89, and 0.69 for girls, respectively. Conclusions: Whole-body silhouettes in children may be useful to derive estimates of body composition including FMI, FFMI, and percent fat. These results support the feasibility of measuring body composition variables from simple cameras such as those found in cell phones. (C) 2015 American Association of Physicists in Medicine.
引用
收藏
页码:4668 / 4677
页数:10
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