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极早产儿脑瘫的影像学研究进展

Cerebral palsy after very preterm birth - an imaging perspective.

机构信息

Department of Neurology, University of California, San Francisco, CA, United States.

Department of Paediatrics, Imperial College London, London, United Kingdom.

出版信息

Semin Fetal Neonatal Med. 2020 Jun;25(3):101106. doi: 10.1016/j.siny.2020.101106. Epub 2020 Apr 6.

DOI:10.1016/j.siny.2020.101106
PMID:32317152
Abstract

Neonatal brain imaging undoubtedly can provide the most accurate information from which to determine whether cerebral palsy is likely to affect an individual infant born preterm. The sensitivity and specificity of that information is different between cranial ultrasound and MRI, depending on what approaches and sequences are used and the timing of the examinations. In this chapter we highlight the changing incidence of different patterns of brain injury in the preterm newborn and present a comparison of cranial ultrasound and MRI for predicting cerebral palsy in preterm infants affected by the commoner intracranial pathologies.

摘要

新生儿脑部成像无疑可以提供最准确的信息,据此判断早产儿是否可能患有脑瘫。根据所采用的方法和序列以及检查的时间,颅超声和 MRI 的信息敏感性和特异性不同。在本章中,我们重点介绍了早产儿不同类型脑损伤的发病率变化,并比较了颅超声和 MRI 对常见颅内病变早产儿脑瘫的预测价值。

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Cerebral palsy after very preterm birth - an imaging perspective.极早产儿脑瘫的影像学研究进展
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A Simple MRI Score Predicts Pathological General Movements in Very Preterm Infants with Brain Injury-Retrospective Cohort Study.一种简单的MRI评分可预测脑损伤极早产儿的病理全身运动——回顾性队列研究
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Fibrinogen inhibits sonic hedgehog signaling and impairs neonatal cerebellar development after blood-brain barrier disruption.
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A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants.多任务、多阶段深度迁移学习模型用于极早产儿神经发育的早期预测。
Sci Rep. 2020 Sep 15;10(1):15072. doi: 10.1038/s41598-020-71914-x.