Literature DB >> 888868

The estimation of fetal weight by computer-assisted analysis.

S L Warsof, P Gohari, R L Berkowitz, J C Hobbins.   

Abstract

The need for a quick and easy method for estimating fetal weight in utero has been clearly established. Estimates by abdominal palpation and fetal hormone production have proved to be of limited value. Eight-five patients, ranging from 17 to 41 weeks' gestation, were ultrasonically scanned within 48 hours of delivery. Statistical analysis and multiple multivariant linear regressions were performed employing the BMD statistical packages. Our results show that birth weight is a logarithmic function of fetal body parameters and that the abdominal circumference has the single best correlation with the log10 birth weight. Our best linear regression with the use of two fetal dimensions (abdominal circumference and biparietal diameter) had a standard deviation of 106 grams per kilogram fetal weight. Since this derived formula is very cumbersome to manipulate, tables have been prepared with computer assistance to read the estimated fetal weight directly. Prospective estimates in 32 cases of both normal and pathologic gestations have proved to be within our expected accuracy.

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Mesh:

Year:  1977        PMID: 888868     DOI: 10.1016/0002-9378(77)90058-8

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  22 in total

1.  A new algorithm for improving fetal weight estimation from ultrasound data at term.

Authors:  W Siggelkow; M Schmidt; C Skala; D Boehm; S von Forstner; H Koelbl; A Tresch
Journal:  Arch Gynecol Obstet       Date:  2010-02-20       Impact factor: 2.344

2.  Comparison of Errors of 35 Weight Estimation Formulae in a Standard Collective.

Authors:  M Hoopmann; K O Kagan; A Sauter; H Abele; P Wagner
Journal:  Geburtshilfe Frauenheilkd       Date:  2016-11       Impact factor: 2.915

Review 3.  Ultrasound in medical education: listening to the echoes of the past to shape a vision for the future.

Authors:  N Lane; S Lahham; L Joseph; D P Bahner; J C Fox
Journal:  Eur J Trauma Emerg Surg       Date:  2015-05-05       Impact factor: 3.693

Review 4.  Individualized growth assessment: conceptual framework and practical implementation for the evaluation of fetal growth and neonatal growth outcome.

Authors:  Russell L Deter; Wesley Lee; Lami Yeo; Offer Erez; Uma Ramamurthy; Medha Naik; Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2018-02       Impact factor: 8.661

5.  Giants in Obstetrics and Gynecology Series: A profile of John C. Hobbins, MD.

Authors:  Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2018-02       Impact factor: 8.661

Review 6.  Morphological and functional evaluation of normal and abnormal fetal growth by ultrasonography.

Authors:  Toshiyuki Yoshizato; Shoji Satoh
Journal:  J Med Ultrason (2001)       Date:  2009-08-12       Impact factor: 1.314

7.  Predicting birth weight in fetuses with gastroschisis.

Authors:  M N Zaki; L A Lusk; R T Overcash; R Rao; Y N Truong; M Liebowitz; M Porto
Journal:  J Perinatol       Date:  2017-12-21       Impact factor: 2.521

8.  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

9.  The effect of birthweight upon insulin resistance and associated cardiovascular risk factors in adolescence is not explained by fetal growth velocity in the third trimester as measured by repeated ultrasound fetometry.

Authors:  S E Vielwerth; R B Jensen; T Larsen; K K Holst; C Mølgaard; G Greisen; A Vaag
Journal:  Diabetologia       Date:  2008-05-21       Impact factor: 10.122

10.  Early Second-Trimester Fetal Growth Restriction and Adverse Perinatal Outcomes.

Authors:  Lorene A Temming; Jeffrey M Dicke; Molly J Stout; Roxane M Rampersad; George A Macones; Methodius G Tuuli; Alison G Cahill
Journal:  Obstet Gynecol       Date:  2017-10       Impact factor: 7.661

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