Ultrasound and Fetal Medicine Centre, Coombe Women and Infants University Hospital, Dublin, Ireland; UCD Centre for Human Reproduction, Coombe Women and Infants University Hospital, Dublin, Ireland.
Prenat Diagn. 2013 Oct;33(10):945-51. doi: 10.1002/pd.4170. Epub 2013 Jun 26.
The aim of this study was to profile longitudinal changes in thigh muscle and fat with gestation and to determine whether thigh measurements can improve the prediction of birth weight (BW).
A prospective longitudinal study of subcutaneous soft tissue measurements was conducted in 328 singleton fetuses at 28 and 37 weeks gestation. Estimated fetal weight (EFW) was calculated using abdominal circumference, femur length, biparietal diameter, and head circumference.
The fetal abdominal subcutaneous tissue (FAST) and thigh muscle and fat show an increase with gestation. At 28 weeks gestation, the abdominal circumference, thigh fat, FAST, and EFW percentile were found to be significant predictors of BW. A combination of EFW percentile and thigh fat were found to be the optimal multivariate model at 28 weeks for predicting BW. At 37 weeks, BW prediction using EFW percentile, FAST, and thigh fat was the most accurate. The results revealed acceptable reproducibility for fetal thigh muscle and fat.
This study provides reference ranges for thigh fat and muscle at 28 and 37 weeks gestation. The inclusion of fetal thigh fat in the algorithm improves the predictive power for birth weight. This information is important to explore the role of fetal thigh in the detection of aberrant growth.
本研究旨在描绘妊娠过程中大腿肌肉和脂肪的纵向变化，并确定大腿测量值是否能提高对出生体重（BW）的预测能力。
对 328 例单胎胎儿在 28 周和 37 周妊娠时进行了皮下软组织测量的前瞻性纵向研究。使用腹围、股骨长、双顶径和头围计算估计胎儿体重（EFW）。
胎儿腹部皮下组织（FAST）和大腿肌肉和脂肪随妊娠而增加。在 28 周妊娠时，腹围、大腿脂肪、FAST 和 EFW 百分位数被发现是 BW 的显著预测因素。在 28 周时，EFW 百分位数和大腿脂肪的组合被发现是预测 BW 的最佳多变量模型。在 37 周时，使用 EFW 百分位数、FAST 和大腿脂肪预测 BW 最准确。结果显示胎儿大腿肌肉和脂肪的可重复性良好。
本研究为 28 周和 37 周妊娠时大腿脂肪和肌肉提供了参考范围。将胎儿大腿脂肪纳入算法可提高对出生体重的预测能力。这些信息对于探索胎儿大腿在异常生长检测中的作用很重要。
