Combined Use of Electroencephalography and Magnetic Resonance Imaging in the Prognostication of Neurodevelopmental Outcomes in Preterm Infants — A Systematic Review and Meta-Analysis

IF 2 3区医学 Q2 CLINICAL NEUROLOGY

Pediatric neurology Pub Date : 2026-02-01 Epub Date: 2025-11-13 DOI:10.1016/j.pediatrneurol.2025.11.005

Corey D. Forrest MBBS, MPHTM , Tommaso Biagioni MBBS , Helen G. Liley MBChB , Melissa M. Lai PhD, MBBS , Paul B. Colditz PhD, MBBS , Robert S. Ware PhD , Roslyn N. Boyd PhD , James A. Roberts PhD

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引用次数: 0

Abstract

Background

Neurological injury remains a major cause of neurodevelopmental morbidity in preterm-born infants. Accurate prognostication is essential for support of families and to target interventions. Electroencephalography (EEG) and magnetic resonance imaging (MRI) can be used to precisely assess brain function and structure in preterm infants. This systematic review assessed the prognostic capacity of EEG and MRI alone, and in combination, for the prediction of neurodevelopmental outcomes in preterm-born infants.

Methods

PubMed, Embase, Web of Science, and Cochrane databases were searched from inception until April 22, 2025. Studies were included if they examined the use of both MRI and EEG in preterm-born infants to predict neurodevelopmental outcomes.

Results

From 1669 records screened, 12 studies reporting 1630 infants were included in the systematic review. Of these 12, seven were sufficiently homogenous for quantitative meta-analysis, yielding pooled sensitivity and specificity values across 952 infants: EEG prognosticated abnormal neurodevelopmental outcomes with sensitivity 64% (95% confidence interval [CI] 48-80%) and specificity 70% (95% CI 59-81%); MRI prognosticated abnormal neurodevelopmental outcomes with sensitivity 64% (95% CI 48-80%) and specificity 89% (95% CI 81-97%). Three of these seven studies, reporting 372 infants, were sufficiently comparable to meta-analyze the combination of EEG and MRI, which predicted neurodevelopmental outcome with sensitivity 70% (95% CI 49-90%) and specificity 96% (95% CI 93-100%).

Conclusions

The combined use of EEG and MRI can predict abnormal neurodevelopment in preterm-born infants with high sensitivity and specificity and was superior to either test in isolation; however, data are limited as multimodal neurological-assessment is still an emerging practice in neonates.

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联合使用脑电图和磁共振成像预测早产儿神经发育结局——系统回顾和荟萃分析。

背景：神经损伤仍然是早产婴儿神经发育疾病的主要原因。准确的预测对于支持家庭和有针对性的干预措施至关重要。脑电图（EEG）和磁共振成像（MRI）可用于准确评估早产儿的大脑功能和结构。本系统综述评估了脑电图和MRI单独或联合用于预测早产儿神经发育结局的预后能力。方法：检索PubMed、Embase、Web of Science和Cochrane数据库，检索时间从建库到2025年4月22日。如果研究同时使用核磁共振成像和脑电图来预测早产儿的神经发育结果，则纳入研究。结果：从筛选的1669份记录中，有12项研究报告了1630名婴儿被纳入系统评价。在这12例中，有7例具有足够的同质性，可以进行定量荟萃分析，得出952例婴儿的综合敏感性和特异性值：脑电图预测异常神经发育结局的敏感性为64%(95%置信区间[CI] 48-80%)，特异性为70% (95% CI 59-81%)；MRI预测异常神经发育结局的敏感性为64% (95% CI 48-80%)，特异性为89% （95% CI 81-97%）。这7项研究中，有3项报告了372名婴儿，与脑电图和MRI结合的荟萃分析具有足够的可比性，预测神经发育结局的敏感性为70% (95% CI 49-90%)，特异性为96% （95% CI 93-100%）。结论：脑电图与MRI联合应用预测早产儿神经发育异常具有较高的敏感性和特异性，优于单独应用；然而，数据是有限的，因为在新生儿中，多模式神经评估仍然是一种新兴的实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pediatric neurology 医学-临床神经学

CiteScore

4.80

自引率

2.60%

发文量

176

审稿时长

78 days

期刊介绍： Pediatric Neurology publishes timely peer-reviewed clinical and research articles covering all aspects of the developing nervous system. Pediatric Neurology features up-to-the-minute publication of the latest advances in the diagnosis, management, and treatment of pediatric neurologic disorders. The journal''s editor, E. Steve Roach, in conjunction with the team of Associate Editors, heads an internationally recognized editorial board, ensuring the most authoritative and extensive coverage of the field. Among the topics covered are: epilepsy, mitochondrial diseases, congenital malformations, chromosomopathies, peripheral neuropathies, perinatal and childhood stroke, cerebral palsy, as well as other diseases affecting the developing nervous system.