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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