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 cases by distinguishing between histopathological subtypes antenatally.

Methods

This was a bi-centre retrospective analysis of a prospective cohort study conducted between 2018 and 2022. Women who underwent MRI during pregnancy and had histological confirmation of PAS were included. Radiomic features were extracted from T2-weighted images. Univariate regression and multivariate analyses were performed to build predictive models to differentiate between non-invasive (International Federatio

SUBMITTER: Bartels HC 

PROVIDER: S-EPMC10509122 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature