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Abstract #4594

Prediction of spastic cerebral palsy based on radiographic feature in children with periventricular leukomalacia

Tingting Huang1,2, Zhe Liu1, Chao Jin1, Haoxiang Jiang3, Heng Liu1, Wei Xing2, Xiaocheng Wei4, Gang Zhang2, and Jian Yang5
1The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2The First Affiliated Hospital of Henan University of traditional Chinese Medicine, Zhengzhou, China, 3Xi’an Children Hospital, Xi’an, China, 4GE Healthcare, Peking, China, 5The First Affiliated Hospital of Xi’an Jiaotong University, Zhengzhou, China

Early identification of classification of cerebral palsy (CP) in children with periventricular leukomalacia (PVL) is crucial for specific rehabilitation treatment and improving the quality of life. In this study, we retrospectively analyzed the baseline clinical data and visually assessed PVL-associated MR signs in children with CP, found that T2WI abnormal hyperintensity in body of lateral ventricle, posterior limb of internal capsule (PLIC), lenticular nucleus and white matter volume reduction were independent predictors of spastic CP. Results indicated that the area under receiver operating characteristic curve of multivariate regression model was 0.85, sensitivity and specificity for this model were 74.4% and 85.7%, respectively.

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