• J. Matern. Fetal. Neonatal. Med. · Jul 2015

    Placental pathologies on fetal MRI are associated with high impairment rates: a prospective long-term outcome study.

    • Nina Linduska, Antonia Knoezinger, Sabine Dekan, Michael Weber, Michael Hayde, Daniela Prayer, and Agnes Grill.
    • a Department of Pediatrics and Adolescent Medicine .
    • J. Matern. Fetal. Neonatal. Med. 2015 Jul 1; 28 (10): 1219-23.

    ObjectivePlacental anomalies visualized at midgestation by MRI are shown to be related to pregnancy outcome. We performed a prospective cohort study to investigate the influence of placental pathologies diagnosed with fetal MRI on long-term neurodevelopmental outcome.MethodsIn our hospital-based, cross-sectional study, all fetal MRI examinations of pregnancies with vascular placental pathology (i.e. infarction with/without hemorrhage, subchorionic thrombi/hemorrhages, intervillous thrombi/hemorrhages or retroplacental hematoma) between 2003 and 2007 were included. The extent of the pathology was expressed as the percentage of abnormality related to the whole placental volume. Pathohistological reports were correlated to MRI findings. Infants were prospectively investigated using Bayley developmental scales at the age of 2-3.5 years. Impairment was categorized as a Bayley scale two SDs below normal (<85 points).ResultsThere were 31 singletons and 25 offspring of multiple pregnancies included in the analyses. Impairment rates were 32.2% in singletons and 32.0% in multiple births. No correlation between neuro/motor developmental outcome at 2-3.5 years and the type, extent or gestational week at the time of diagnoses of placental vascular pathologies was found.ConclusionThe long-term outcome of children with vascular placental pathologies on fetal MRI was associated with a high impairment rate after 2-3.5 years, both on motor- and neurodevelopmental Bayley scales. Neurological impairment did not correlate with the extent of placental involvement, intrauterine growth restriction, gestational age at birth or multiple state.

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