Quantitative interpretation using ADC values for subjective MRI classification of neonatal hypoxic-ischemic encephalopathy

IF 1.7 4区 医学 Q4 CLINICAL NEUROLOGY
Brain & Development Pub Date : 2026-02-01 Epub Date: 2026-01-14 DOI:10.1016/j.braindev.2025.104499
Katsumi Hayakawa , Koichi Tanda , Masakazu Nishimoto , Akira Nishimura , Daisuke Kinoshita , Yuko Sano
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引用次数: 0

Abstract

Background

MRI-based classification of hypoxic–ischemic encephalopathy (HIE), particularly using diffusion-weighted imaging (DWI), remains susceptible to subjective bias in determining the presence or absence of diffusion restriction. Quantitative measures such as apparent diffusion coefficient (ADC) values may provide a more objective assessment of injury severity.

Purpose

To evaluate the depth and distribution of brain injury in neonatal HIE by quantitatively assessing regional ADC values across MRI pattern classifications, independent of subjective visual interpretation of DWI signal changes.

Materials and methods

Seventy-three consecutively enrolled full-term infants with HIE underwent brain MRI, and ADC values were measured at five predefined brain regions. Correlations between regional ADC values and MRI pattern groups were analyzed.

Results

Five MRI patterns were identified: normal, white matter injury (WMI), watershed (WS), basal ganglia/thalamus injury (BGT), and near total brain injury (nTBI). ADC distribution analysis demonstrated two principal findings: (1) no significant differences among the normal, WMI, and WS pattern groups; and (2) significantly lower ADC values in the nTBI group compared with the BGT group at all brain regions during the first week of life, and at the centrum semiovale during the second week.

Conclusion

Quantitative analysis revealed distinct ADC distribution differences between the BGT and nTBI patterns during the first and second weeks of life, indicating substantially more severe and widespread brain injury in the nTBI pattern.
利用ADC值定量解释新生儿缺氧缺血性脑病的主观MRI分类
背景:基于mri的缺氧缺血性脑病(HIE)分类,特别是使用弥散加权成像(DWI),在确定是否存在弥散限制时仍然容易受到主观偏见的影响。定量测量如表观扩散系数(ADC)值可以提供更客观的损伤严重程度评估。目的通过定量评估不同MRI模式分类的区域ADC值来评估新生儿HIE脑损伤的深度和分布,不依赖于DWI信号变化的主观视觉解释。材料与方法73例连续入组的HIE足月婴儿行脑MRI,并在5个预先确定的脑区测量ADC值。分析区域ADC值与MRI分型组的相关性。结果发现5种MRI模式:正常、白质损伤(WMI)、分水岭(WS)、基底节区/丘脑损伤(BGT)和近全脑损伤(nTBI)。ADC分布分析显示了两个主要发现:(1)正常、WMI和WS模式组之间无显著差异;(2)与BGT组相比,nTBI组在出生后第一周的所有脑区以及第二周的半瓣中心区的ADC值均显著降低。结论定量分析显示,BGT和nTBI模式在出生后第1周和第2周的ADC分布存在明显差异,表明nTBI模式的脑损伤更为严重和广泛。
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
Brain & Development
Brain & Development 医学-临床神经学
CiteScore
3.60
自引率
0.00%
发文量
153
审稿时长
50 days
期刊介绍: Brain and Development (ISSN 0387-7604) is the Official Journal of the Japanese Society of Child Neurology, and is aimed to promote clinical child neurology and developmental neuroscience. The journal is devoted to publishing Review Articles, Full Length Original Papers, Case Reports and Letters to the Editor in the field of Child Neurology and related sciences. Proceedings of meetings, and professional announcements will be published at the Editor''s discretion. Letters concerning articles published in Brain and Development and other relevant issues are also welcome.
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