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用于从出生到儿童期心室异常检测和纵向监测的影像生物标志物。

Imaging biomarkers for detection and longitudinal monitoring of ventricular abnormalities from birth to childhood.

作者信息

Navarro-Ballester Antonio, Álvaro-Ballester Rosa, Lara-Martínez Miguel Á

机构信息

Department of Radiology, Hospital General Universitario de Castellón, Castellon de la Plana 12004, Castellón, Spain.

出版信息

World J Radiol. 2025 May 28;17(5):106084. doi: 10.4329/wjr.v17.i5.106084.

DOI:10.4329/wjr.v17.i5.106084
PMID:40503483
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12149979/
Abstract

This narrative review examines the use of imaging biomarkers for diagnosing and monitoring hydrocephalus from birth through childhood. Early detection and longitudinal follow-up are essential for guiding timely interventions and assessing treatment outcomes. Cranial ultrasound and magnetic resonance imaging (MRI) are the primary imaging modalities, providing critical insights into ventricular size, cerebrospinal fluid dynamics, and neurodevelopmental implications. Key parameters, including Evans' index, Levene's index, and the Cella Media index, as well as volumetric and diffusion-based MRI techniques, have been explored for their diagnostic and prognostic value. Advances in automated image analysis and artificial intelligence have further improved measurement precision and reproducibility. Despite these developments, challenges remain in standardizing imaging protocols and establishing normative reference values across different pediatric populations. This review highlights the strengths and limitations of current imaging approaches, emphasizing the need for consistent methodologies to enhance diagnostic accuracy and optimize patient management in hydrocephalus.

摘要

这篇叙述性综述探讨了成像生物标志物在从出生到儿童期诊断和监测脑积水方面的应用。早期检测和纵向随访对于指导及时干预和评估治疗结果至关重要。头颅超声和磁共振成像(MRI)是主要的成像方式,能为脑室大小、脑脊液动力学以及神经发育影响提供关键见解。包括埃文斯指数、莱文指数和中脑导水管指数在内的关键参数,以及基于容积和扩散的MRI技术,已就其诊断和预后价值进行了探索。自动图像分析和人工智能的进展进一步提高了测量精度和可重复性。尽管有这些进展,但在标准化成像方案以及为不同儿科人群建立规范参考值方面仍存在挑战。本综述强调了当前成像方法的优势和局限性,强调需要采用一致的方法来提高脑积水的诊断准确性并优化患者管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/247e/12149979/ef7f745d3a97/106084-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/247e/12149979/ef7f745d3a97/106084-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/247e/12149979/68c99a8bf9b5/106084-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/247e/12149979/da66bbc4cf54/106084-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/247e/12149979/ef7f745d3a97/106084-g007.jpg

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本文引用的文献

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Relationship between the volume of ventricles, brain parenchyma and neurocognition in children after hydrocephalus treatment.脑积水治疗后儿童脑室、脑实质体积与神经认知的关系。
Childs Nerv Syst. 2024 Dec 14;41(1):48. doi: 10.1007/s00381-024-06674-4.
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Correction: Posthemorrhagic ventricular dilatation late intervention threshold and associated brain injury.更正:出血后脑室扩张的晚期干预阈值及相关脑损伤。
PLoS One. 2024 Dec 5;19(12):e0315515. doi: 10.1371/journal.pone.0315515. eCollection 2024.
3
Automated classification of cerebral arteries and veins in the neonate using ultrafast doppler spectrogram.
使用超快多普勒频谱图对新生儿脑动脉和静脉进行自动分类。
Phys Med Biol. 2024 Dec 6;69(24). doi: 10.1088/1361-6560/ad94ca.
4
Nomograms and Reference Ranges for Intra-Cranial Ventricular Dimensions in Indian Neonates.印度新生儿颅内脑室尺寸的列线图和参考范围
Indian J Pediatr. 2024 Oct 9. doi: 10.1007/s12098-024-05274-z.
5
An international study presenting a federated learning AI platform for pediatric brain tumors.一项提出用于小儿脑肿瘤的联邦学习人工智能平台的国际研究。
Nat Commun. 2024 Sep 2;15(1):7615. doi: 10.1038/s41467-024-51172-5.
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Morphometric Study of the Intracranial Fluid Spaces in Schizophrenia.精神分裂症颅内腔隙的形态计量学研究。
Neurol India. 2024 Jul 1;72(4):817-823. doi: 10.4103/neurol-india.ni_552_21. Epub 2024 Aug 31.
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Predictors of Hydrocephalus Risk After Stereotactic Radiosurgery for Vestibular Schwannomas: Utility of the Evans Index.前庭神经鞘瘤立体定向放射治疗后脑积水风险的预测因素:埃文斯指数的效用
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