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颅内动脉瘤治疗技术的演变及未来方向。

The evolution of intracranial aneurysm treatment techniques and future directions.

机构信息

Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.

Department of Neurosurgery, Bristol Institute of Clinical Neuroscience, Southmead Hospital, Bristol, UK.

出版信息

Neurosurg Rev. 2022 Feb;45(1):1-25. doi: 10.1007/s10143-021-01543-z. Epub 2021 Apr 23.

Abstract

Treatment techniques and management guidelines for intracranial aneurysms (IAs) have been continually developing and this rapid development has altered treatment decision-making for clinicians. IAs are treated in one of two ways: surgical treatments such as microsurgical clipping with or without bypass techniques, and endovascular methods such as coiling, balloon- or stent-assisted coiling, or intravascular flow diversion and intrasaccular flow disruption. In certain cases, a single approach may be inadequate in completely resolving the IA and successful treatment requires a combination of microsurgical and endovascular techniques, such as in complex aneurysms. The treatment option should be considered based on factors such as age; past medical history; comorbidities; patient preference; aneurysm characteristics such as location, morphology, and size; and finally the operator's experience. The purpose of this review is to provide practicing neurosurgeons with a summary of the techniques available, and to aid decision-making by highlighting ideal or less ideal cases for a given technique. Next, we illustrate the evolution of techniques to overcome the shortfalls of preceding techniques. At the outset, we emphasize that this decision-making process is dynamic and will be directed by current best scientific evidence, and future technological advances.

摘要

颅内动脉瘤(IAs)的治疗技术和管理指南一直在不断发展,这种快速发展改变了临床医生的治疗决策。IAs 的治疗方法有两种:手术治疗,如夹闭术(伴或不伴旁路技术),和血管内方法,如线圈填塞、球囊或支架辅助线圈填塞、血管内血流分流和囊内血流阻断。在某些情况下,单一方法可能无法完全解决 IA,成功的治疗需要结合显微外科和血管内技术,如在复杂动脉瘤中。治疗方案应根据患者的年龄、既往病史、合并症、患者偏好、动脉瘤的位置、形态和大小等特征以及术者的经验等因素进行考虑。本文的目的是为神经外科医生提供现有技术的概述,并通过突出给定技术的理想或不理想病例来辅助决策。接下来,我们将展示为克服前序技术的局限性而进行的技术演变。首先,我们强调,这个决策过程是动态的,将受到当前最佳科学证据和未来技术进步的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a794/8827391/9ee0159e3be2/10143_2021_1543_Fig1_HTML.jpg

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