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Pediatr Res ; 83(5): 1004-1010, 2018 05.
Artículo en Inglés | MEDLINE | ID: mdl-29360805

RESUMEN

BackgroundPreterm birth is associated with an increased risk of cerebellar injury. The aim of this study was to assess the impact of cerebellar hemorrhages (CBH) on cerebral white matter microstructural tissue organization and cerebellar volume at term-equivalent age (TEA) in extremely preterm infants. Furthermore, we aimed to evaluate the association between CBH and neurodevelopmental outcome in late infancy.MethodsA total of 24 preterm infants with punctate CBH were included and each matched to two preterm control infants. T1-, T2-weighted images and diffusion-weighted imaging were acquired on a 3T magnetic resonance imaging (MRI) system. Regions of interest were drawn on a population-specific neonatal template and automatically registered to individual fractional anisotropy (FA) maps. Brain volumes were automatically computed. Neurodevelopmental outcome was assessed using the Bayley scales of Infant and Toddler Development at 2 years of corrected age.ResultsCBHs were not significantly related to FA in the posterior limb of the internal capsule and corpus callosum or to cerebellar volume. Infants with CBH did not have poorer neurodevelopmental outcome compared with control infants.ConclusionThese findings suggest that the impact of mild CBH on early macroscale brain development may be limited. Future studies are needed to assess the effects of CBH on long-term neurodevelopment.


Asunto(s)
Mapeo Encefálico/métodos , Encéfalo/diagnóstico por imagen , Cerebelo/diagnóstico por imagen , Cerebelo/lesiones , Sustancia Blanca/diagnóstico por imagen , Sustancia Blanca/patología , Anisotropía , Estudios de Casos y Controles , Preescolar , Estudios de Cohortes , Imagen de Difusión por Resonancia Magnética , Femenino , Edad Gestacional , Humanos , Procesamiento de Imagen Asistido por Computador/métodos , Lactante , Recién Nacido , Recien Nacido Prematuro , Imagen por Resonancia Magnética , Masculino , Trastornos del Neurodesarrollo , Reconocimiento de Normas Patrones Automatizadas , Riesgo
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