新分类在硬脑膜动静脉瘘血管内治疗中的应用

Huachen Zhang , Ke Zhu , Jiangdian Wang , Xianli Lv
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引用次数: 2

摘要

目的硬膜动静脉瘘(DAVF)是一种复杂的疾病,根据静脉引流方向提出了几种不同的分类方法。本研究是基于新的自然历史数据,评估一种实用且易于遵循的Zipfel分类方法。方法回顾性分析2014 - 2018年我院收治的143例davf患者(其中脑外科134例,脊柱外科9例)的临床资料。采用Borden、Cognard和Zipfel的单因素方差分析患者治疗前状态(pre-mRS)。分析Zipfel I、II、III型三组患者的特点、治疗方法及转归。结果单因素方差分析结果显示,Zipfel型与Cognard型的pre-mRS差异有统计学意义(p < 0.001, p < 0.001)。这说明患者的pre-mRS在Zipfel分类中比在Cognard分类中有更好的分布。在Zipfel的分类中,男性和非鼻窦位置与Zipfel的III型DAVF相关(p<0.001)。超过3条动脉供给者和动脉供给者与高级别(Zipfel's II型和III型)DAVF相关(p=0.003)。Zipfel的II型和III型DAVF症状更严重(p=0.003),需要积极的血管内治疗(p= 0.001)。Zipfel’s III型DAVF多采用经动脉治疗,Zipfel’s II型DAVF多采用经静脉治疗(p < 0.001)。结论Zipfel分级法可评价davf血流动力学及临床状况,指导治疗。Zipfel的分类方法简单而准确,对患者的自然病史提供了有效的评估,具有丰富的信息。
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The use of a new classification in endovascular treatment of dural arteriovenous fistulas

Objective

Dural arteriovenous fistula (DAVF) is a complex condition and several different classifications have been proposed focusing on venous drainage directions. This study was to evaluate a practical and easy-to-follow Zipfel's classification for DAVFs based on new natural history data.

Methods

From 2014 to 2018, 143 patients of DAVFs (including 134 cerebral and 9 spinal) were consecutively retrospectively reviewed. Patients' pre-treatment status (pre-mRS) were analyzed using one-way ANOVA between Borden, Cognard and Zipfel's classifications. Patients' characteristics, treatments and outcomes were also analyzed between 3 groups of Zipfel's type I, II and III.

Results

The results of one-way ANOVA indicated that pre-mRS was significantly different between Zipfel's type and Cognard classifications (p<0.001 and p<0.001, respectively). This suggested that patients' pre-mRS was better distributed in Zipfel's classification than Cognard classification. In Zipfel's classification, male and non-sinus location were correlated with the Zipfel's type III DAVF (p<0.001). More than 3 arterial feeders and pial arterial suppliers were associated with a high grade (Zipfel's type II and III) DAVF (p=0.003). Worse symptoms were observed in Zipfel's type II and III DAVF (p=0.003) and aggressive endovascular treatment was needed (p<0.001). Transarterial treatment was usually used in Zipfel's type III DAVF and transvenous treatment was used commonly in Zipfel's type II DAVF (p<0.001).

Conclusions

The Zipfel's classification could evaluate the hemodynamic and clinical status of DAVFs and guide their treatment. The Zipfel's classification was informative by providing an effective assessment for the natural history of patients with simple but precise method.

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来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
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