Literature DB >> 6404938

Estimation of fetal weight by ultrasound.

H V Jordaan.   

Abstract

Birth weight (BW) and log10 birth weight (LBW) are expressed as linear, multilinear, parabolic, and polynomial regression functions of the abdominal circumference (AC), and combinations of fetal index measurements, namely, AC and head circumference (HC); biparietal diameter (BPD) and AC; and BPD, HC, and AC. The relationship of somatic weight and log10 somatic weight to AC was similarly determined. The analysis generated 20 equations whose accuracy in providing BW estimates is compared. Several equations provide BW estimates whose mean percentage deviations from measured BWs do not differ significantly. The deviations, however, have the smallest variance when BW is estimated from the HC and AC either by using a multilinear regression equation or by deriving separate estimates of brain and somatic weights from these index measurements. The role of individual and population differences in fetal anthropometry as causes of error in estimating BW by different methods is discussed. Because HC is a function of both BPD and occipito-frontal diameter (OFD), it is a better brain-size modulus than the commonly used BPD and avoids the errors of underestimation which occur when the BPD is unusually small in cases of dolichocephaly. A comparison of ponderal growth in American and South African fetal populations shows differences throughout most of the gestational range (26-40 wk) analyzed in this study.

Mesh:

Year:  1983        PMID: 6404938     DOI: 10.1002/jcu.1870110202

Source DB:  PubMed          Journal:  J Clin Ultrasound        ISSN: 0091-2751            Impact factor:   0.910


  11 in total

1.  The accuracy of ultrasound estimation of fetal weight in comparison to birth weight: A systematic review.

Authors:  Julia Milner; Jane Arezina
Journal:  Ultrasound       Date:  2018-02-07

2.  Different formulas, different thresholds and different performance-the prediction of macrosomia by ultrasound.

Authors:  A Aviram; Y Yogev; E Ashwal; L Hiersch; D Danon; E Hadar; R Gabbay-Benziv
Journal:  J Perinatol       Date:  2017-09-14       Impact factor: 2.521

3.  A modified prenatal growth assessment score for the evaluation of fetal growth in the third trimester using single and composite biometric parameters.

Authors:  Russell L Deter; Wesley Lee; Haleh Sangi-Haghpeykar; Adi L Tarca; Lami Yeo; Roberto Romero
Journal:  J Matern Fetal Neonatal Med       Date:  2014-07-11

4.  The use of angiogenic biomarkers in maternal blood to identify which SGA fetuses will require a preterm delivery and mothers who will develop pre-eclampsia.

Authors:  Tinnakorn Chaiworapongsa; Roberto Romero; Amy E Whitten; Steven J Korzeniewski; Piya Chaemsaithong; Edgar Hernandez-Andrade; Lami Yeo; Sonia S Hassan
Journal:  J Matern Fetal Neonatal Med       Date:  2016

5.  An informative probability model enhancing real time echobiometry to improve fetal weight estimation accuracy.

Authors:  G Cevenini; F M Severi; C Bocchi; F Petraglia; P Barbini
Journal:  Med Biol Eng Comput       Date:  2008-01-10       Impact factor: 2.602

6.  Ultrasound (in)accuracy: it's in the formulae not in the technique - assessment of accuracy of abdominal circumference measurement in term pregnancies.

Authors:  Erin M Nesbitt-Hawes; Emma Tetstall; Kiera Gee; Alec W Welsh
Journal:  Australas J Ultrasound Med       Date:  2015-12-31

7.  Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population.

Authors:  Sujitkumar S Hiwale; Hemant Misra; Shrutin Ulman
Journal:  J Med Ultrasound       Date:  2016-12-15

8.  Foetal weight prediction models at a given gestational age in the absence of ultrasound facilities: application in Indonesia.

Authors:  Dewi Anggraini; Mali Abdollahian; Kaye Marion
Journal:  BMC Pregnancy Childbirth       Date:  2018-11-06       Impact factor: 3.007

9.  A Systematic Evaluation of Ultrasound-based Fetal Weight Estimation Models on Indian Population.

Authors:  Sujitkumar S Hiwale
Journal:  J Med Ultrasound       Date:  2017-08-31

10.  Birth weight prediction models for the different gestational age stages in a Chinese population.

Authors:  Chunhui Li; Yang Peng; Bin Zhang; Weiying Ji; Li Li; Jianhua Gong; Wei Xia; Yuanyuan Li; Shuna Jin; Ranran Song; Youjie Wang; Shunqing Xu
Journal:  Sci Rep       Date:  2019-07-25       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.