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Abstract #0733

Combining lesion burden with cortical malformation morphology strongly predicts motor outcomes in children with cerebral palsy

Alex Pagnozzi1, Nicholas Dowson1, James Doecke1, Simona Fiori2, Andrea Guzzetta3, Roslyn N Boyd4, and Stephen Rose1

1The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Brisbane, Australia, 2Stella Maris Institute, Pisa, Italy, 3Stella Maris institute, Pisa, Italy, 4The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, Brisbane, Australia

Magnetic Resonance Imaging (MRI) is the clinical standard for assessing developmental brain injury in children with Cerebral Palsy (CP). We propose an automated process that segments the spectrum of white and grey matter injury, including tissue lesions and malformations of the cortex, and correlates biomarkers of injury with the Assisting Hand Assessment (AHA), a clinical score quantifying hand function. The proposed method is shown to perform accurate tissue and injury segmentation using T1 and T2 MRI compared to the manual classification of injury, and was significantly correlated with AHA (p<0.001).

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