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Abstract #0919

Prediction of Clinical Outcome of Hypoxic-Ischemic Encephalopathy Using Diffusion Tensor Imaging Assessed by a Reproducible Objective Quantification Scheme (ROQS) in the Perinatal Period

Sumit Narayan Niogi1, Daniel Rosenbaum1, Jeffrey Perlman2, Linda Heier1, Arzu Kovanlikaya1

1Radiology, NY Presbyterian Hospital Weill Cornell Medical Center, New York, NY, United States; 2Pediatrics, NY Presbyterian Hospital Weill Cornell Medical Center, New York, NY, United States

Perinatal hypoxic-ischemic encephalopathy causes significant disability in newborns and accounts for about 25% of children with cerebral palsy. As of yet, there is no reliable biomarker to predict which of these infants will have poor outcome. . However, DTI is sensitive to subtle microstructural changes overlooked by conventional imaging. As shown in this study, variations in white matter integrity in specific pathways (the anterior and posterior limbs of the internal capsule and forceps major) can predict clinical outcome after treatment with therapeutic hypothermia.

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Keywords

abnormalities accounts adequately adopted adopting anisotropy anterior assess assessed automated better bilaterally capsule causes cerebral children clinical cognitive correlated created days death detect detects development diffusion disability divided encephalopathy evaluate examined fashion forceps fractional front good gradient grown home hospital hypothermia included infant infants integrity internal limb major materials measured measures medical months motor neurological newborns objective outcome overlooked palsy parametric pathways pediatrics perinatal period poor possibly post posterior predict prediction predominate presbyterian prior priori quantification radiology reliable reproducible scale scanner scheme score scored scores selected semi sensitive severity software statistics streamlined studies subjects subtle suffered suffering tailed tensor therapeutic tract tracts treatment underwent variations versus white