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Brain & development · 2026

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

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Hayakawa Katsumi, Tanda Koichi, Nishimoto Masakazu, Nishimura Akira, Kinoshita Daisuke, Sano Yuko

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты