Abstract #2247

Predicting adverse developmental outcomes in infants with mild to moderate white matter injury; A prospective cohort study with conventional MRI

Pengxuan Bai^1,2,3, Miaomiao Wang^1,2,3, Congcong Liu^1,2,3, Chenyue Liu^1,2,3, Chunxu Da^1,2,3, Zhujun Li^1,2,3, Xinyi Huang^1,2,3, Xianjun Li^1,2,3, and Jian Yang^1,2,3

¹Department of Diagnostic Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China, Xi'an, China, ²Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi'an, China, Xi'an, China, ³Xi'an Key Laboratory of Medical Computational Imaging, Xi'an, China, Xi'an, China

Synopsis

Keywords: Neonatal, White Matter

Motivation: To predict adverse developmental outcomes in infants with mild to moderate white matter injury(WMI).

Goal(s): To develop a conventional MRI-based model to predict adverse developmental outcomes in infants with mild to moderate WMI.

Approach: This prospective study included 242 infants with punctate white matter lesions (PWML) and/or diffuse excessive high signal intensity from March 2011 to July 2024. The whole cerebral abnormality were scored using a conventional MRI scoring system. Together with clinical information, multivariable logistic regression model was used to develop the predictive model.

Results: PWML, delayed myelination, subventricular cyst and congenital heart disease were associated with adverse neurodevelopmental outcome.

Impact: The model is a relatively reliable tool to predict adverse developmental outcomes in infants with mild to moderate WMI.

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