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Abstract #4630

Predictive Model of MRI Screening for Neonatal Punctate White Matter Lesion Based on Multi-Center Data

Congcong Liu1, Qinli Sun1, Miaomiao Wang1, Xiaoyu Wang 1, Yannan Cheng1, Ting Liu1, Zhe Liu1, Pan Cao1, Fan Wu1, Yuli Zhang1, Huifang Zhao1, Chao Jin1, Xianjun Li1, Xingxing Tao1, Xiaocheng Wei2, and Jian Yang1
1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 2MR Research China, GE Healthcare, Xi'an, China

PWML with high incidence (~20%) was correlated with adverse neurodevelopment outcomes and lesions disappeared as time goes on. Although MRI can accurately evaluate PWML, currently it’s not a universal screening method. This study aimed to develop a predictive model of MRI screening for PWML based on clinical factors, and help clinicians identify which neonates should undergo MRI. 5899 neonates were recruited. Logistic regression analysis were used to develop the model. Ten independent factors were identified and the model was presented as nomogram. Current model showed good discrimination and clinically use. It will help clinicians conveniently and early make decision.

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