Radiomics-based prediction of FIGO grade for placenta accreta spectrum

Radiomics-based prediction of FIGO grade for placenta accreta spectrum

Abstract Background Placenta accreta spectrum (PAS) is a rare, life-threatening complication of pregnancy. Predicting PAS severity is critical to individualise care planning for the birth. We aim to explore whether radiomic analysis of T2-weighted magnetic resonance imaging (MRI) can predict severe...

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Bibliographic Details
Main Authors: Helena C. Bartels, Jim O’Doherty, Eric Wolsztynski, David P. Brophy, Roisin MacDermott, David Atallah, Souha Saliba, Constance Young, Paul Downey, Jennifer Donnelly, Tony Geoghegan, Donal J. Brennan, Kathleen M. Curran
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:European Radiology Experimental
Subjects:
Machine learning
Magnetic resonance imaging
Placenta accreta
Pregnancy
Radiomics
Online Access:https://doi.org/10.1186/s41747-023-00369-2

Internet

https://doi.org/10.1186/s41747-023-00369-2

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