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Prenatal prediction of adverse outcome using different charts and definitions of fetal growth restriction.

Margaret MascherpaC PegoireA MeroniMonica MinopoliBaskaran ThilaganathanA FrickAmarnath Bhide
Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2023)
The prevalence of FGR is variable based on the specific definition as well as the fetal size reference chart used to diagnose FGR. Irrespective of the method of classification, the sensitivity for the identification of adverse perinatal outcome remains low. Estimated fetal weight, uterine artery and fetal Dopplers are all significant predictors of adverse perinatal outcome. As these indices are correlated to each other, a prediction algorithm is advocated to overcome the limitations of using them in isolation. This article is protected by copyright. All rights reserved.
Keyphrases
  • pregnant women
  • machine learning
  • deep learning
  • body mass index
  • risk factors
  • physical activity
  • emergency department
  • weight loss
  • electronic health record
  • bioinformatics analysis