UNASSIGNED: Objective   This study aims to evaluate individual regional brain biometrics and their association with developmental outcome in extremely low-birth-weight (ELBW) @entity1 . Study Design   This is a retrospective study evaluating term-equivalent magnetic resonance imaging (TE-MRI) from 27 ELBW @entity1 with known developmental outcomes beyond 12 months corrected age. Regional biometric measurements were performed by a pediatric neuroradiologist blinded to outcome data. Measures included biparietal width, @entity5562 ( @entity5562 ), deep gray matter area (DGMA), @entity2554 , corpus callosum, and interhemispheric distance. The relationship between regional biometrics and Bayley-II developmental scores were evaluated with linear regression models. Results   The study cohort had an average        standard deviation birth weight of 684        150   g, gestational age of 24.6        2 weeks and 48% males. DGMA was significantly associated with both cognitive and motor outcomes. Significant associations were also observed between @entity5562 and corpus callosum splenium with cognitive and motor outcomes, respectively. Other biometric measures were not associated with outcome (p   >   0.05). DGMA   <   10.26 cm(2) was highly specific for poor motor and cognitive outcome. Conclusion   TE-MRI biometrics reflecting impaired deep gray matter, callosal, and cerebellar size is associated with worse early childhood cognitive and motor outcomes. DGMA may be the most robust single biometric measure to predict adverse developmental outcome in preterm survivors.

Regional Brain Biometrics at Term-Equivalent Age and Developmental Outcome in Extremely Low-Birth-Weight XXXX .

@entity1 :: ('9606', 'Species') :: ['infants'] @entity5562 :: ('MESH:D015875', 'Disease') :: ['transcerebellar diameter', 'TCD'] @entity2554 :: ('MESH:C563906', 'Disease') :: ['ventricular dilatation']
@entity1 :: (9606,Species) :: ['Infants']
