利用超低场MRI识别新生儿脑解剖结构。

IF 4.5 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-10-02 DOI:10.1016/j.neuroimage.2025.121497

Anne Groteklaes, Efe Nacarkucuk, Till Dresbach, Andreas Mueller, Hemmen Sabir

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引用次数: 0

摘要

背景：颅超声有其局限性，是新生儿的标准影像学检查方法。早期产后磁共振成像（MRI）提供了更客观的测量，但获得MRI通常是有限的。便携式超低场（ULF） MRI可扩大MRI访问范围。迄今为止，颅超声和ULF MRI测量新生儿脑指标之间没有比较。方法：对28例足月新生儿进行超高频磁共振成像（ULF MRI）和颅脑超声配对检查。测量了10个常规测量的解剖结构的尺寸，并在两种模式之间进行了比较。研究结果：ULF MRI和超声生物识别对大多数解剖性脑结构具有显著的相关性（中位相关系数0.73）。解释：ULF MRI可靠地显示新生儿大脑的超声生物测量。我们发现ULF成像可以作为新生儿床边自然睡眠时的即时核磁共振成像，这可能会扩大核磁共振成像的使用范围。本工作由比尔和梅林达·盖茨基金会（the Young的超低场神经成像：INV-005798）支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Identifying anatomic brain structures using ultra-low field MRI in newborns

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Identifying anatomic brain structures using ultra-low field MRI in newborns

Background

Besides its limitations, cranial ultrasound is the standard imaging method in neonates. Early postnatal magnetic resonance imaging (MRI) offers more objective measurements, but access to MRI is often limited. Portable ultralow-field (ULF) MRI could expand MRI access. To date, no comparison is available between cranial ultrasound and ULF MRI measuring neonatal brain metrics.

Methods

We performed paired ULF MRI and cranial ultrasound in 28 term newborns. Dimensions of ten routinely measured anatomic structures were measured and compared between the modalities.

Findings

Correlations between ULF MRI and ultrasound biometrics was significant for most anatomic brain structures (median correlation coefficient 0,73).

Interpretation

ULF MRI reliably displays ultrasound biometry of the neonatal brain. We found that ULF imaging can be performed as point-of-care MRI at the neonatal bedside during natural sleep, which may widen the access to MRI.

Funding

This work is supported by the Bill and Melinda Gates Foundation (Ultralow field Neuroimaging in The Young: INV-005798).

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.