Abstract #4608
Automated Quantification of Diffuse White Matter Abnormalities in Very Preterm Infants Predicts Language and Cognitive Development at Two Years of Age
Lili He 1 and Nehal A Parikh 1,2
1
Center for Perinatal Research, The Research
Institute at Nationwide Children's Hospital, Columbus,
OH, United States,
2
The
Ohio State University College of Medicine, Columbus, OH,
United States
The developmental significance of the frequently
encountered diffuse white matter signal abnormality
(WMSA) findings on term MRI in very preterm infants
remains in question. Guided with our very preterm infant
brain atlas, we objectively quantified WMSA on
conventional T2-weighted MRI at around term-equivalent
age. We demonstrated automatically detected WMSA volume
to be a significant predictor of cognitive and language
development at 2 years of age. Our findings support the
use of objective automated techniques to accurately
quantify the lesion burden in perinatal-neonatal brain
injury. Our work will facilitate population-based
studies to more accurately characterize WMSAs long-term
sequelae.
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