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颅内动脉瘤的影像学检查:标准及先进成像技术综述

Imaging of Intracranial Aneurysms: A Review of Standard and Advanced Imaging Techniques.

作者信息

Veeturi Sricharan S, Hall Samuel, Fujimura Soichiro, Mossa-Basha Mahmud, Sagues Elena, Samaniego Edgar A, Tutino Vincent M

机构信息

Canon Stroke and Vascular Research Center, Clinical and Translational Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14214, USA.

Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA.

出版信息

Transl Stroke Res. 2025 Jun;16(3):1016-1027. doi: 10.1007/s12975-024-01261-w. Epub 2024 Jun 10.

DOI:10.1007/s12975-024-01261-w
PMID:38856829
Abstract

The treatment of intracranial aneurysms is dictated by its risk of rupture in the future. Several clinical and radiological risk factors for aneurysm rupture have been described and incorporated into prediction models. Despite the recent technological advancements in aneurysm imaging, linear length and visible irregularity with a bleb are the only radiological measure used in clinical prediction models. The purpose of this article is to summarize both the standard imaging techniques, including their limitations, and the advanced techniques being used experimentally to image aneurysms. It is expected that as our understanding of advanced techniques improves, and their ability to predict clinical events is demonstrated, they become an increasingly routine part of aneurysm assessment. It is important that neurovascular specialists understand the spectrum of imaging techniques available.

摘要

颅内动脉瘤的治疗取决于其未来破裂的风险。已经描述了几种动脉瘤破裂的临床和影像学风险因素,并将其纳入预测模型。尽管动脉瘤成像技术最近取得了进展,但临床预测模型中使用的唯一影像学测量方法是线性长度和带有小泡的可见不规则性。本文的目的是总结标准成像技术(包括其局限性)以及正在实验中用于动脉瘤成像的先进技术。预计随着我们对先进技术的理解不断提高,并且其预测临床事件的能力得到证实,它们将越来越成为动脉瘤评估的常规组成部分。神经血管专家了解可用的成像技术范围非常重要。

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本文引用的文献

1
MR Imaging of the Cerebral Aneurysmal Wall for Assessment of Rupture Risk.磁共振成像评估颅内动脉瘤壁破裂风险的研究。
Neuroimaging Clin N Am. 2024 May;34(2):225-240. doi: 10.1016/j.nic.2024.01.003. Epub 2024 Feb 19.
2
Dynamic evaluation of unruptured intracranial aneurysms by 4D-CT angiography: comparison with digital subtraction angiography (DSA) and surgical findings.4D-CT 血管造影对未破裂颅内动脉瘤的动态评估:与数字减影血管造影(DSA)和手术结果的比较。
BMC Med Imaging. 2023 Oct 18;23(1):161. doi: 10.1186/s12880-023-01107-1.
3
Detection Rates and Trends of Asymptomatic Unruptured Intracranial Aneurysms From 2005 to 2019.
2005 年至 2019 年无症状未破裂颅内动脉瘤的检出率及趋势。
Neurosurgery. 2024 Feb 1;94(2):297-306. doi: 10.1227/neu.0000000000002664. Epub 2023 Sep 11.
4
Wall enhancement as a biomarker of intracranial aneurysm instability: a histo-radiological study.壁强化作为颅内动脉瘤不稳定的生物标志物:一项组织放射学研究。
Acta Neurochir (Wien). 2023 Oct;165(10):2783-2791. doi: 10.1007/s00701-023-05739-8. Epub 2023 Aug 17.
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Machine learning prediction model for the rupture status of middle cerebral artery aneurysm in patients with hypertension: a Chinese multicenter study.高血压患者大脑中动脉动脉瘤破裂状态的机器学习预测模型:一项中国多中心研究
Quant Imaging Med Surg. 2023 Aug 1;13(8):4867-4878. doi: 10.21037/qims-22-918. Epub 2023 Jun 1.
6
Evaluating a 3D deep learning pipeline for cerebral vessel and intracranial aneurysm segmentation from computed tomography angiography-digital subtraction angiography image pairs.评估用于从 CT 血管造影-数字减影血管造影图像对中分割脑血管和颅内动脉瘤的 3D 深度学习管道。
Neurosurg Focus. 2023 Jun;54(6):E13. doi: 10.3171/2023.3.FOCUS2374.
7
Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA.基于骨架的 3D 补丁、语义分割和辅助分类的颅内动脉瘤自动检测,用于克服脑 TOF-MRA 数据不平衡。
Sci Rep. 2023 Jul 25;13(1):12018. doi: 10.1038/s41598-023-38586-9.
8
Deep learning-based cerebral aneurysm segmentation and morphological analysis with three-dimensional rotational angiography.基于深度学习的三维旋转血管造影脑动脉瘤分割与形态分析。
J Neurointerv Surg. 2024 Jan 12;16(2):197-203. doi: 10.1136/jnis-2023-020192.
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Clin Neuroradiol. 2023 Sep;33(3):763-768. doi: 10.1007/s00062-023-01273-3. Epub 2023 Mar 9.
10
Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model.使用深度学习模型的多期CT血管造影术检测颅内动脉瘤
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