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

D Cuenca-GómezCatalina de Paco-MatallanaValeria RolleManel MendozaNuria ValiñoR RevelloB AdiegoM C CasanovaGuillermo RusJuan Luis Delgado-MarínA WrightFrancesc FiguerasKypros H NicolaidesBelén SantacruzMaría 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
  • preterm birth
  • gestational age
  • machine learning
  • birth weight
  • magnetic resonance imaging
  • preterm infants
  • deep learning
  • pregnancy outcomes
  • pregnant women
  • computed tomography
  • physical activity