Ultrasound diagnosis of fetal macrosomia: A comparison of weight prediction models using computer simulation

25Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Objective: To assess the frequency of the diagnosis of macrosomia in relation to differing weight estimation formulae in unselected pregnancies. Methods: Computer modeling techniques were employed. Computer modeling software generated correlated fetal biometry measurements according to published British standards, from 37 to 41 weeks' gestation. For each set of measurements, estimated fetal weights were obtained by a panel of 18 ultrasound weight formulae. The diagnosis of macrosomia was made if the fetal weight estimate was greater than 4500 g. Cohorts of 5000 pregnancies for each week of gestation were studied. Results: The frequency of diagnosis of macrosomia increased progressively with advancing gestational age, with large increases between 40 and 41 weeks. The type of weight estimation formula had a profound influence on the frequency of diagnosis of macrosomia. Five of the formulae tested almost never returned a weight estimate greater than 4500 g. Three formulae yielded false positive rates in excess of 15%. The Hadlock group of formulae yielded frequencies of 0.3% to 14.6%. Conclusions: Most formulae tend to over-diagnose macrosomia at term. Intervention rates for suspected fetal macrosomia may be influenced by gestational age at the time of scan and the type of fetal weight estimation formula in use. Copyright © 2005 ISUOG. Published by John Wiley & Sons, Ltd.

Cite

CITATION STYLE

APA

Mongelli, M., & Benzie, R. (2005). Ultrasound diagnosis of fetal macrosomia: A comparison of weight prediction models using computer simulation. Ultrasound in Obstetrics and Gynecology, 26(5), 500–503. https://doi.org/10.1002/uog.1989

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free