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新兴的高级神经监测模式:儿童急性脑损伤的检测和管理。

Advanced Neuromonitoring Modalities on the Horizon: Detection and Management of Acute Brain Injury in Children.

机构信息

Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, USA.

Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA.

出版信息

Neurocrit Care. 2023 Jun;38(3):791-811. doi: 10.1007/s12028-023-01690-9. Epub 2023 Mar 22.

Abstract

Timely detection and monitoring of acute brain injury in children is essential to mitigate causes of injury and prevent secondary insults. Increasing survival in critically ill children has emphasized the importance of neuroprotective management strategies for long-term quality of life. In emergent and critical care settings, traditional neuroimaging modalities, such as computed tomography and magnetic resonance imaging (MRI), remain frontline diagnostic techniques to detect acute brain injury. Although detection of structural and anatomical abnormalities remains crucial, advanced MRI sequences assessing functional alterations in cerebral physiology provide unique diagnostic utility. Head ultrasound has emerged as a portable neuroimaging modality for point-of-care diagnosis via assessments of anatomical and perfusion abnormalities. Application of electroencephalography and near-infrared spectroscopy provides the opportunity for real-time detection and goal-directed management of neurological abnormalities at the bedside. In this review, we describe recent technological advancements in these neurodiagnostic modalities and elaborate on their current and potential utility in the detection and management of acute brain injury.

摘要

及时检测和监测儿童急性脑损伤对于减轻损伤原因和预防继发损伤至关重要。危重病儿童的存活率增加强调了神经保护管理策略对于长期生活质量的重要性。在紧急和重症监护环境中,传统的神经影像学方式,如计算机断层扫描和磁共振成像(MRI),仍然是用于检测急性脑损伤的一线诊断技术。尽管检测结构和解剖异常仍然至关重要,但评估大脑生理学功能改变的高级 MRI 序列提供了独特的诊断效用。头超声已成为一种便携式神经影像学方式,可通过评估解剖和灌注异常进行床边即时诊断。脑电图和近红外光谱的应用为床边实时检测和目标导向的神经异常管理提供了机会。在这篇综述中,我们描述了这些神经诊断方式的最新技术进展,并详细阐述了它们在检测和管理急性脑损伤方面的当前和潜在效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fcb4/10241718/3d03a1b53271/12028_2023_1690_Fig1_HTML.jpg

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