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External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data.

Magdalena L KolakStephen GerryHubert K HurasAmmar Al NaimiKarin Anneliese FoxThorsten BraunVedran StefanovicHeleen van BeekhuizenOlivier MorelAlexander PapingCharline BertholdtPavel CaldaZdenek LastuvkaAndrzej Piotr JaworowskiEgle SavukyneSally L Collinsnull null
Published in: Acta obstetricia et gynecologica Scandinavica (2024)
The study underscores the difficulty in developing universally applicable PAS prediction models. While models like that of Sargent et al. show promise, their reproducibility varies across settings, likely due to the interpretation of the ultrasound signs. The findings support the need for updating the current ultrasound descriptors and for the development of any new predictive models to use data collected by different operators in multiple clinical settings.
Keyphrases
  • magnetic resonance imaging
  • big data
  • electronic health record
  • contrast enhanced ultrasound
  • ultrasound guided
  • working memory
  • machine learning