摘要
目的:找到人体腹盆腔直径以预测躯干部脂肪分布的最优测量位置并建立相应人体躯干脂肪回归方程。方法:在上海新华医院对51名健康状况良好的受试者(男27名,女24名)测定身高、体质量等基本数据,用1.5T的核磁共振仪拍摄每位受试者躯干腹盆腔连续扫描断层图片,每张图片间隔1 cm,并用医学三维影像分析软件Amira5.4.3测出每张横断面对应的皮下脂肪、内脏脂肪,再用2D测距法测量出每张图片中腹盆腔的横直径、纵直径。利用有限元原理算出总的皮下脂肪、内脏脂肪和每张横断面对应的最小腰围和最小面积。用SPSS17.0软件对皮下脂肪、内脏脂肪和腹盆腔区段面的横、纵直径,最小腰围和最小面积分别进行相关性比较,然后采用多元回归分析对筛选的指标进行分析进而建立脂肪回归模型。结果:在L4-L5上2 cm横断面处为预测男性内脏脂肪的最佳位置,L4-L5上7 cm～8 cm横断面处为预测女性内脏脂肪的最佳位置。L4-L5下1 cm横断面的纵直径为男性皮下脂肪最佳预测指标,L4-L5上7 cm横向皮下脂肪厚度是女性皮下脂肪最佳预测指标。结论:男性内脏脂肪和皮下脂肪的回归方程分别为VT=1.832πX u2Yu2+43.242A-2592.617,ST=23.032πXu2Yu2-5462.286。女性内脏脂肪和皮下脂肪的回归方程分别为VT=1.27875πX u7Yu7+131.266B-3400.064,ST=0.346B+18.978 Xu7+123.177Lu7-2781.596。
Objective： By calculating the abdominal and pelvic diameter to find out the best position to measure the distribution of fat and then to establish a regression equation of trunk fat. Methods： To find 51 subjects as sample to measure their simple anthropometric parameters including height, age, body mass, body mass index （BMI）, and so on. Using magnetic resonance imaging （MRI） to photograph the incessant pictures of trunk, and then by using Amira5.4.3 software to get the data of subcutaneous fat （SF）, visceral fat （VF）, width and length of the cross section. Thus the total data ofSF, VF, min waist circumference and min area in abdomen is obtained. Using SPSS17.0 to conduct multiple regression analysis and establish the fat regression models. Results： The best position to measure men＇s VF is 2 cm above L4-L5, and for women is 7 cm-8cm above L4-L5. Men＇ s subcutaneous fat is best reflected by the factor of the width of the cross section 1 cm below L4-L5, and women＇ s subcutaneous fat is best reflected by the lateral subcutaneous fat thickness of the cross section 7 cm above L4-L5. Conclusions： At last we got the regression equation of VF and SF for men and women.
出处
《中国医学物理学杂志》
CSCD
2013年第5期4447-4451,共5页
Chinese Journal of Medical Physics
关键词
腹盆腔脂肪
磁共振法
回归方程
abdominal and pelvic fat
magnetic resonance imaging （MRI）
regression equation
