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Dataset Information

Radiomic study of antenatal prediction of severe placenta accreta spectrum from MRI.


ABSTRACT:

Objectives

We previously demonstrated the potential of radiomics for the prediction of severe histological placenta accreta spectrum (PAS) subtypes using T2-weighted MRI. We aim to validate our model using an additional dataset. Secondly, we explore whether the performance is improved using a new approach to develop a new multivariate radiomics model.

Methods

Multi-centre retrospective analysis was conducted between 2018 and 2023. Inclusion criteria: MRI performed for suspicion of PAS from ultrasound, clinical findings of PAS at laparotomy and/or histopathological confirmation. Radiomic features were extracted from T2-weighted MRI. The previous multivariate model was validated. Secondly, a 5-radiomic feature random forest classifier was selected from a randomized feature sel

SUBMITTER: Bartels HC 

PROVIDER: S-EPMC11491593 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature