摘要
颅内动脉瘤是一种常见的颅内血管性疾病,多见于年龄较高的人群,动脉瘤破裂后具有较高的致死、致残率。目前,介入手术已成为颅内动脉瘤治疗的主要手段之一,但动脉瘤在介入治疗后仍有可能复发,甚至复发后破裂出血。利用人工智能对颅内动脉瘤复发概率构建预测模型,是目前较为前沿的研究领域。该文对颅内动脉瘤介入治疗术后动脉瘤复发相关危险因素及预测模型的研究进展进行了综述。
Intracranial aneurysm is a common intracranial vascular disease,which is more common in older people.The rupture of aneurysm has a high mortality and morbidity rate.Endovascular treatment has become the most common therapy means of aneurysms.However,aneurysm recurrence may occur after treatment,and even recurrent aneurysms may rupture and bleed,which is a critical issue.The use of artificial intelligence to construct a prediction model for aneurysm recurrence probability is a relatively frontier research field at present.This article reviews the research progress of risk factors and prediction models related to recurrence after endovascular treatment of intracranial aneurysms.
作者
赵执
张鸿祺
Zhao Zhi;Zhang Hongqi(Department of Neurosurgery,Xuanwu Hospital,Capital Medical University,Beijing 100053,China)
出处
《中国脑血管病杂志》
CAS
CSCD
北大核心
2023年第10期696-700,共5页
Chinese Journal of Cerebrovascular Diseases
基金
国家重点研发计划重大慢性非传染性疾病防控研究重点专项(2016YFC1300800)
首都临床诊疗技术研究及转化应用(Z201100005520021)
北京市卫生健康科技成果和适宜技术推广项目(BHTPP202018)。
关键词
颅内动脉瘤
血管内操作
危险因素
复发
预测模型
综述
Intracranial aneurysm
Endovascular procedures
Risk factors
Recurrence
Prediction model
Review