JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (3): 366-370.doi: 10.3969/j.issn.1674-8115.2021.03.014

• Review • Previous Articles     Next Articles

Advances in estimating fetal weight by maternal and fetal ultrasound variables

Yi-fei WANG1,2(), Yan-ting WU3, He-feng HUANG1,3()   

  1. 1.Department of Obstetrics and Gynaecology, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
    2.Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
    3.Institute of Reproductive and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
  • Received:2020-01-27 Online:2021-03-28 Published:2021-04-06
  • Contact: He-feng HUANG;
  • Supported by:
    National Key Research and Development Program of China(2017YFC1001300);China and Canada International Cooperation Project of National Nature Science Foundation of China(81661128010);Chinese Academy of Medical Sciences Research Unit, Shanghai Jiao Tong University(2019RU056);Project of Shanghai Municipal Health Commission(201840210);Project of Shanghai Shenkang Hospital Development Center(SHDC12018X17)


The estimated fetal weight (EFW), using the parameters of pregnant woman and fetuse before birth, plays an important role in helping evaluating fetal development and pregnancy outcome. Various methods have been used to calculate EFW. Predictive accuracy of estimating EFW by using pregnant women's parameters depends on doctors' experience and standardization of measurement. Some appraisal procedures, such as Hadlock formula, which mainly focus on prenatal fetal ultrasound parameters, have been widely used in clinics but still have large errors. Measurements of fetal volume by 3-dimentional ultrasound and magnetic resonance imaging methods show significant improvements, yet they cannot be widely used because of time and economic issues. The prediction coincidence rate of a model with big data based on analysis of neural network, is better than that of traditional ultrasonic detection. It could be a better method of EFW in the future. In summary, accurate evaluation of EFW and its application to obstetric clinic are still major challenges in the future.

Key words: fetal weight, birth weight, ultrasound, macrosomia, fetal growth restriction

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