Comparison of different methods of first-trimester screening for preterm pre-eclampsia: cohort study.

D Cuenca-GómezCatalina de Paco-Matallana Valeria Rolle Manel Mendoza Nuria ValiñoR RevelloB Adiego M C Casanova Guillermo Rus Juan Luis Delgado-MarínA WrightFrancesc Figueras Kypros H Nicolaides Belén Santacruz María Del Mar Gil

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2024)

The best performance of screening for preterm PE is achieved by mathematical models that combine maternal factors with MAP, UtA-PI and PlGF, as compared to risk-scoring systems such as those of NICE and ACOG. While all three algorithms show similar results in terms of overall prediction, the FMF model showed the best performance at an individual level. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

Keyphrases

low birth weight
gestational age
preterm birth
machine learning
birth weight
magnetic resonance imaging
deep learning
preterm infants
pregnant women
computed tomography
ultrasound guided
high density