颅内动静脉畸形破裂出血预测中的若干问题  

Several issues in predicting intracranial arteriovenous malformation rupture and hemorrhage

作　　者：张绍森 王基源 张东 Shaosen Zhang;Jiyuan Wang;Dong Zhang(Department of Neurosurgery,Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences,P.R.China,Beijing 100730,China;Department of Neurosurgery,Beijing Tiantan Hospital Affiliated to Capital Medical University,Beijing 100070,China)

机构地区：[1]北京医院神经外科,国家老年医学中心,中国医学科学院老年医学研究院,100730 [2]首都医科大学附属北京天坛医院神经外科,100070

出　　处：《中华脑血管病杂志（电子版）》2024年第3期197-201,共5页Chinese Journal of Cerebrovascular Diseases(Electronic Edition)

基　　金：国家科技支撑计划(2021YFC2500502)。

摘　　要：颅内动静脉畸形(AVM)是一种先天血管畸形,一般认为终身出血风险为50%,因此平衡手术风险和出血风险是AVM诊疗中最重要的问题。如何准确预测破裂出血风险一直是AVM研究中的核心课题。目前,随着影像检查和人工智能技术的进步,许多研究者在预测AVM出血的研究中不断取得进展。本文对目前一些公认的AVM破裂出血相关的危险因素进行了评述,并分析了目前国际上若干较高水平的AVM风险预测模型的优势和不足,为AVM破裂风险预测提供参考。Intracranial arteriovenous malformation(AVM)is a congenital vascular malformation with an estimated lifetime rupture risk of 50%.Striking the right balance between the risks of surgical intervention and rupture is a critical consideration in the diagnosis and treatment of AVM.The accurate prediction of rupture risk is a major focus of AVM research.Recent advancements in imaging techniques and artificial intelligence have contributed to progress in predicting AVM rupture.This article reviews the recognized risk factors for rupture,and evaluates AVM risk prediction models to assist in predicting AVM rupture risk globally.

关 键 词：动静脉畸形 出血 预测 

分 类 号：R743.4[医药卫生—神经病学与精神病学]