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Abstract #0854

Added value of perfusion MRI in neonatal arterial ischemic stroke for delineation of biomarker and prediction of remote seizure

Wentao Wu1,2, Sonika Agarwal3,4, Rebecca N Ichord3,4, Hao Huang1,5, and Minhui Ouyang1,5
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 4Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 5Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Synopsis

Keywords: Neonatal, Diagnosis/Prediction, biomarkers; multimodal; remote seizure; neonatal arterial ischemic stroke; diffusion MRI; arterial spin labeling MRI

Motivation: Neonatal arterial ischemic stroke (NAIS) could lead to childhood epilepsy. It is critical to accurately predict remote seizures after NAIS diagnosis by adding understudied brain perfusion measures.

Goal(s): To leverage multimodal MRI biomarkers to accurately predict remote seizures after investigating diffusion and perfusion MRI patterns in NAIS patients.

Approach: Baseline diffusion and perfusion MRI scans acquired at initial presentation were analyzed to build an ensemble model for remote seizure prediction.

Results: Unlike hypoperfusion pattern in adult brain stroke, predominant cases of hyperperfusion were identified in the NAIS population. Integrated optimized multimodal MRI-derived biomarkers effectively predict remote seizures.

Impact: This study enhances understanding of NAIS by revealing unique perfusion characteristics and developing a predictive model for remote seizure after NAIS. It supports personalized interventions, potentially improving long-term outcomes and guiding future research on NAIS management and outcomes.

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