Advances in estimating fetal weight by maternal and fetal ultrasound variables

doi:10.3969/j.issn.1674-8115.2021.03.014

Abstract

Abstract:

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

CLC Number:

R714.51

Yi-fei WANG, Yan-ting WU, He-feng HUANG. Advances in estimating fetal weight by maternal and fetal ultrasound variables[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(3): 366-370.

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References 41

1	Oral E, Cağdaş A, Gezer A, et al. Perinatal and maternal outcomes of fetal macrosomia[J]. Eur J Obstet Gynecol Reprod Biol, 2001, 99(2): 167-171.
2	Boulet SL, Alexander GR, Salihu HM, et al. Macrosomic births in the United States: determinants, outcomes, and proposed grades of risk[J]. Am J Obstet Gynecol, 2003, 188(5): 1372-1378.
3	Menticoglou S. Shoulder dystocia: incidence, mechanisms, and management strategies[J]. Int J Womens Health, 2018, 10: 723-732.
4	Vitner D, Bleicher I, Kadour-Peero E, et al. Does prenatal identification of fetal macrosomia change management and outcome?[J]. Arch Gynecol Obstet, 2019, 299(3): 635-644.
5	Bushman ET, Thompson N, Gray M, et al. Influence of estimated fetal weight on labor management[J]. Am J Perinatol, 2020, 37(3): 252-257.
6	Dudley NJ. A systematic review of the ultrasound estimation of fetal weight[J]. Ultrasound Obstet Gynecol. 2005, 25(1): 80-89.
7	De Myttenaere A, Golden B, Le Grand B, et al. Using the mean absolute percentage error for regression models[J/OL]. [2020-01-26]..
8	Willmott CJ, Matsuura K. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance[J]. Clim Res, 2005, 30(1): 79-82.
9	Hyndman RJ, Koehler AB. Another look at measures of forecast accuracy[J]. Int J Forecast, 2006, 22(4): 679-688.
10	顾国华, 陈千娣, 姚家生. 预测胎儿体重的探讨(附400例分析)[J]. 实用妇科与产科杂志, 1987, (2): 93.
11	Numprasert W. A study in Johnson's formula: fundal height measurement for estimation of birth weight[J]. AU J. T., 2004, 8(1): 15-20.
12	胡章和, 田孝坤. 110例头位难产的初步分析[J]. 中级医刊, 1983, (1): 18-20.
13	刘旦光, 汪应志, 朱从容, 等. 足月新生儿体重预测的探讨: 附715例分析[J]. 中华妇产科杂志, 1985, 20(4): 243-244.
14	徐朗澄, 罗美瑜, 林亭亭, 等. 预测胎儿体重的新方法[J]. 福建医药杂志, 1984, (2): 44-45.
15	Mgbafulu CC, Ajah LO, Umeora OUJ, et al. Estimation of fetal weight: a comparison of clinical and sonographic methods[J]. J Obstet Gynaecol, 2019, 39(5): 639-646.
16	Hadlock FP, Harrist RB, Sharman RS, et al. Estimation of fetal weight with the use of head, body, and femur measurements: a prospective study[J]. Am J Obstet Gynecol, 1985, 151(3): 333-337.
17	Warsof SL, Gohari P, Berkowitz RL, et al. The estimation of fetal weight by computer-assisted analysis[J]. Am J Obstet Gynecol, 1977, 128(8): 881-892.
18	Shepard MJ, Richards VA, Berkowitz RL, et al. An evaluation of two equations for predicting fetal weight by ultrasound[J]. Am J Obstet Gynecol, 1982, 142(1): 47-54.
19	Hammami A, Zumaeta AM, Syngelaki A, et al. Ultrasonographic estimation of fetal weight: development of new model and assessment of performance of previous models[J]. Ultrasound Obstet Gynecol, 2018, 52(1): 35-43.
20	Sabbagha RE, Minogue J, Tamura RK, et al. Estimation of birth weight by use of ultrasonographic formulas targeted to large-, appropriate-, and small-for-gestational-age fetuses[J]. Am J Obstet Gynecol, 1989, 160(4): 854-862.
21	Robson SC, Gallivan S, Walkinshaw SA, et al. Ultrasonic estimation of fetal weight: use of targeted formulas in small for gestational age fetuses[J]. Obstet Gynecol, 1993, 82(3): 359-364.
22	Jouannic JM, Grangé G, Goffinet F, et al. Validity of sonographic formulas for estimating fetal weight below 1 250 g: a series of 119 cases[J]. Fetal Diagn Ther, 2001, 16(4): 254-258.
23	Sokol RJ, Chik L, Dombrowski MP, et al. Correctly identifying the macrosomic fetus: improving ultrasonography-based prediction[J]. Am J Obstet Gynecol, 2000, 182(6): 1489-1495.
24	Hart NC, Hilbert A, Meurer B, et al. Macrosomia: a new formula for optimized fetal weight estimation[J]. Ultrasound Obstet Gynecol, 2010, 35(1): 42-47.
25	Chauhan SP, West DJ, Scardo JA, et al. Antepartum detection of macrosomic fetus: clinical versus sonographic, including soft-tissue measurements[J]. Obstet Gynecol, 2000, 95(5): 639-642.
26	Bernstein IM, Catalano PM. Influence of fetal fat on the ultrasound estimation of fetal weight in diabetic mothers[J]. Obstet Gynecol, 1992, 79(4): 561-563.
27	Zelop CM. Prediction of fetal weight with the use of three-dimensional ultrasonography[J]. Clin Obstet Gynecol, 2000, 43(2): 321-325.
28	陈伟, 蔡辰, 张妍, 等. 上海市松江区妇女孕期增重与妊娠结局的关系[J]. 上海交通大学学报(医学版), 2018, 38(12): 1479-1483.
29	Cromi A, Ghezzi F, Di Naro E, et al. Large cross-sectional area of the umbilical cord as a predictor of fetal macrosomia[J]. Ultrasound Obstet Gynecol, 2007, 30(6): 861-866.
30	Hackmon R, Bornstein E, Ferber A, et al. Combined analysis with amniotic fluid index and estimated fetal weight for prediction of severe macrosomia at birth[J]. Am J Obstet Gynecol, 2007, 196(4): 333.e1-e4.
31	Benacerraf BR, Gelman R, Jr Frigoletto FD. Sonographically estimated fetal weights: accuracy and limitation[J]. Am J Obstet Gynecol, 1988, 159(5): 1118-1121.
32	沈敏, 谈韬, 李浩捷, 等. 胎盘质量与新生儿出生体质量的相关性研究[J]. 上海交通大学学报(医学版), 2019, 39(8): 893-897.
33	Lee W, Comstock CH, Kirk JS, et al. Birthweight prediction by three-dimensional ultrasonographic volumes of the fetal thigh and abdomen[J]. J Ultrasound Med, 1997, 16(12): 799-805.
34	Schild RL, Fimmers R, Hansmann M. Can 3D volumetric analysis of the fetal upper arm and thigh improve conventional 2D weight estimates?[J]. Ultraschall Med, 1999, 20(1): 31-37.
35	Schild RL, Fimmers R, Hansmann M. Fetal weight estimation by three-dimensional ultrasound[J]. Ultrasound Obstet Gynecol, 2000, 16(5): 445-452.
36	Baker PN, Johnson IR, Gowland PA, et al. Fetal weight estimation by echo-planar magnetic resonance imaging[J]. Lancet, 1994, 343(8898): 644-645.
37	Uotila J, Dastidar P, Heinonen T, et al. Magnetic resonance imaging compared to ultrasonography in fetal weight and volume estimation in diabetic and normal pregnancy[J]. Acta Obstet Gynecol Scand, 2000, 79(4): 255-259.
38	Farmer RM, Medearis AL, Hirata GI, et al. The use of a neural network for the ultrasonographic estimation of fetal weight in the macrosomic fetus[J]. Am J Obstet Gynecol, 1992, 166(5): 1467-1472.
39	Chuang L, Hwang JY, Chang CH, et al. Ultrasound estimation of fetal weight with the use of computerized artificial neural network model[J]. Ultrasound Med Biol, 2002, 28(8): 991-996.
40	李昆, 柴玉梅, 赵红领, 等. 基于深度神经网络的胎儿体重预测[J]. 计算机科学, 2016, 43(S2): 73-76, 82.
41	朱海龙, 陶晶, 俞凯, 等. 基于GA-BP神经网络的胎儿体重预测分析[J]. 计算机系统应用, 2018, 27(3): 162-167.

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