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法国胎儿生物测量:参考方程及与其他图表的比较

French fetal biometry: reference equations and comparison with other charts.

作者信息

Salomon L J, Duyme M, Crequat J, Brodaty G, Talmant C, Fries N, Althuser M

机构信息

CFEF-Collège Français d'Echographie Foetale, Paris, France.

出版信息

Ultrasound Obstet Gynecol. 2006 Aug;28(2):193-8. doi: 10.1002/uog.2733.

DOI:10.1002/uog.2733
PMID:16570263
Abstract

OBJECTIVES

To construct new reference charts and equations for fetal biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL), using a large sample of fetuses examined at 15-40 weeks in France, and to compare them with previous references.

METHODS

The study data were obtained over a continuous 1-year period from a population of pregnant women undergoing ultrasound examination. Excluded were those with a known abnormal karyotype or congenital malformation, multiple pregnancies, and those with no first-trimester dating based on crown-rump length. No fetuses were excluded on the basis of abnormal biometry or birth weight. For each measurement, separate regression models were fitted to estimate both the mean and the SD at each gestational age.

RESULTS

Full biometric measurements were obtained for 19 647 fetuses. New charts and reference equations are reported for BPD, HC, AC and FL. Prediction intervals for the new reference charts were similar to those of previous ones, whereas there were some differences in predicted centiles.

CONCLUSION

We present new French reference charts and equations for fetal biometry. They can be used easily to compute centiles and Z-scores to control the quality of biometric assessments and to evaluate their performance relative to other references.

摘要

目的

利用在法国对15至40周胎儿进行检查的大量样本,构建胎儿双顶径(BPD)、头围(HC)、腹围(AC)和股骨长度(FL)的新参考图表及方程,并将其与先前的参考标准进行比较。

方法

研究数据来自连续1年接受超声检查的孕妇群体。排除已知染色体核型异常或先天性畸形、多胎妊娠以及无基于头臀长的孕早期孕周确定的孕妇。未因生物测量异常或出生体重而排除任何胎儿。对于每项测量,拟合单独的回归模型以估计每个孕周的均值和标准差。

结果

对19647例胎儿进行了完整的生物测量。报告了BPD、HC、AC和FL的新图表及参考方程。新参考图表的预测区间与先前的相似,而预测百分位数存在一些差异。

结论

我们展示了用于胎儿生物测量的新的法国参考图表及方程。它们可轻松用于计算百分位数和Z分数,以控制生物测量评估的质量,并评估其相对于其他参考标准的性能。

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