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Placenta accreta spectrum (PAS) poses a significant risk for maternal morbidity and mortality. There is a global rise in incidence of PAS in tandem with an increase in rates of cesarian section. Previous cesarian section and presence of placenta previa are two independent risk factors for development of PAS.

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Background: The COVID-19 pandemic prompted researchers to develop new ways to design and launch studies and recruit and retain participants. Pregnant women and infants are considered vulnerable populations in research, and families affected by substance use are particularly difficult to recruit and retain. Recruitment for studies involving medical technologies such as MRI can also be difficult due to misconceptions and fear of the technologies.

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Machine learning models for neurocognitive outcome prediction in preterm born infants.

Pediatr Res

January 2025

Emma Children's Hospital Amsterdam UMC, location University of Amsterdam, Follow-Me program & Emma Neuroscience group, Meibergdreef 9, Amsterdam, The Netherlands.

Background: Outcome prediction after preterm birth is important for long-term neonatal care, but has proven notoriously challenging for neurocognitive outcome. This study investigated the potential of machine learning to improve neurocognitive outcome prediction at two and five years of corrected age in preterm infants, using readily available predictors from the neonatal setting.

Methods: Predictors originating from the antenatal and neonatal period of preterm infants born <30 weeks gestation were used to predict adverse neurocognitive outcome on the Bayley Scale and Wechsler Preschool and Primary Scale of Intelligence.

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Retroperitoneal teratomas are rare neoplasms in neonates, presenting with nonspecific symptoms and variable clinical features, making diagnosis challenging. Radiological investigations, particularly fetal ultrasound and contrast-enhanced computed tomography, play a critical role in their detection. Differential diagnoses include neuroblastoma, adrenal hemorrhage, and congenital cystic lesions, which share overlapping clinical and imaging features.

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Hydranencephaly (HE) is a severe and isolated malformation affecting the cerebral mantle. In this condition, the cerebral hemispheres are entirely or almost entirely absent, replaced by a membranous sac filled with cerebrospinal fluid, while the midbrain is usually preserved. Although HE is a relatively rare brain disorder, the differential diagnosis must include conditions such as severe hydrocephalus, porencephalic cysts, and alobar holoprosencephaly.

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