Scoring of brain magnetic resonance imaging and neurodevelopmental outcomes in infants with congenital heart disease

Background: Advances in surgical techniques to tackle critical congenital heart diseases (CHD) have enhanced the survival rates and life expectancy of children born with heart disease. Studies to better acknowledge their neurodevelopmental trajectory have paramount implications.

Objective: The aim of this study is to examine the nature of brain MRI findings in infants born with critical congenital heart diseases needing intervention in the first 6 months of life, with the help of an MRI scoring system and correlation with long term neurodevelopmental outcomes.

Methods: Brain MRI scans of eligible infants were extracted from database, reexamined to categorize, and score them into three main functional areas: cognitive/grey matter, motor/white matter, and visual. The scoring system also included stage of myelination and presence of punctate hemorrhages. The correlation of individual and total MRI scores with neurodevelopmental assessment using Bayley Scales for Infant and Toddler Development- version 3 (BSID III) were examined via logistic regression models while controlling for confounding variables.

Result: Median (IQR) MRI score was 6 (4-7) with grey matter score of 2 (1-4). Initial BSID III scores were 80 ± 15, 80 ± 18, and 81 ± 19 for cognitive, motor and language components, respectively. The MRI cognitive score had direct correlation with respiratory index prior to surgery (cc = 0.47, p = 0.03) and cross-clamping time (cc = 0.65, p = 0.001). It displayed a significant inverse correlation with language scores for BSID III at 9 months (R = -0.42, p = 0.04) which lost significance in subsequent visits.

Conclusion: This pilot study proved the feasibility of correlating structural brain abnormalities in MRI with later brain developmental deficits in infants with CHD. We envision establishing a standardized MRI scoring system to be performed on a large multi-center cohort that would help better predict and measure brain injury in infants with CHDs.