Launice Melbourne1, Jonathan Murnick2, Taeun Chang2, Penny Glass2, An N Massaro1. 1. Divsion of Neonatology, Children's National Health Systems, Washington, District of Columbia. 2. Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia.
Abstract
OBJECTIVE: This study aims to evaluate individual regional brain biometrics and their association with developmental outcome in extremely low-birth-weight (ELBW) infants. STUDY DESIGN: This is a retrospective study evaluating term-equivalent magnetic resonance imaging (TE-MRI) from 27 ELBW infants 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, transcerebellar diameter (TCD), deep gray matter area (DGMA), ventricular dilatation, 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 TCD and corpus callosum splenium with cognitive and motor outcomes, respectively. Other biometric measures were not associated with outcome (p>0.05). DGMA<10.26 cm2 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. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
OBJECTIVE: This study aims to evaluate individual regional brain biometrics and their association with developmental outcome in extremely low-birth-weight (ELBW) infants. STUDY DESIGN: This is a retrospective study evaluating term-equivalent magnetic resonance imaging (TE-MRI) from 27 ELBW infants 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, transcerebellar diameter (TCD), deep gray matter area (DGMA), ventricular dilatation, 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 TCD and corpus callosum splenium with cognitive and motor outcomes, respectively. Other biometric measures were not associated with outcome (p>0.05). DGMA<10.26 cm2 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. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
Authors: Alina Jurcoane; Marcel Daamen; Vera C Keil; Lukas Scheef; Josef G Bäuml; Chun Meng; Afra M Wohlschläger; Christian Sorg; Barbara Busch; Nicole Baumann; Dieter Wolke; Peter Bartmann; Henning Boecker; Guido Lüchters; Milka Marinova; Elke Hattingen Journal: Eur Radiol Date: 2019-03-22 Impact factor: 5.315
Authors: J M George; S Fiori; J Fripp; K Pannek; J Bursle; R X Moldrich; A Guzzetta; A Coulthard; R S Ware; S E Rose; P B Colditz; R N Boyd Journal: AJNR Am J Neuroradiol Date: 2017-05-18 Impact factor: 3.825