Predictors of neoangiogenesis after indirect revascularisation in moyamoya disease: a 10-year follow-up study

EDAS系统 烟雾病 脑血管病 数字减影血管造影 侧支循环 医学 血管造影 狭窄 内科学 放射科 脑血管造影 血运重建 外科 分布估计算法 算法 计算机科学 心肌梗塞
作者
Qian‐Nan Wang,Rimiao Yang,Zhengxing Zou,Xiaopeng Wang,Qian Zhang,Desheng Li,Xiang‐Yang Bao,Lian Duan
出处
期刊:Journal of Neurology, Neurosurgery, and Psychiatry [BMJ]
卷期号:92 (12): 1361-1362 被引量:10
标识
DOI:10.1136/jnnp-2020-325401
摘要

Moyamoya disease (MMD) is a rare, chronic and progressive cerebrovascular disorder that is characterised by stenosis and occlusion of the distal carotid, proximal middle and anterior cerebral arteries and is accompanied by the development of small collateral vessel networks.1 Encephaloduroarteriosynangiosis (EDAS) has been a widely established treatment strategy for patients with MMD, however, the factors that affect the formation of collateral circulation after EDAS are unclear. We selected patients who had undergone cerebral angiography at least 5 years after the operation and investigated the relevant factors including RNF213 variation that could affect postoperative collateral formation. We identified all patients with MMD treated by EDAS at the Department of Neurosurgery in the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China, from January 2002 through January 2015. Patients who received long-term postoperative digital subtraction angiography (duration ≥5 years after surgical revascularisation up to the latest follow-up angiography) were selected. All patients with MMD enroled in the study underwent EDAS. The basic clinical data were collected. The angiographic collateral grade was evaluated according to the system described in our recent study.2 Genotyping of p.R4810K was performed following the protocol described in our previous study.3 The last follow-up angiographies were conducted at least 5 years after EDAS. The development of …

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小莫完成签到,获得积分10
1秒前
1秒前
我是老大应助张玉采纳,获得10
2秒前
小不溜完成签到 ,获得积分10
3秒前
3秒前
锅里有虾发布了新的文献求助10
3秒前
DDJoy完成签到,获得积分10
3秒前
4秒前
科研通AI6.3应助micaixing2006采纳,获得10
4秒前
牛轧唐发布了新的文献求助30
4秒前
充电宝应助UU采纳,获得10
5秒前
sheng完成签到,获得积分10
6秒前
板蓝根完成签到,获得积分10
6秒前
科研通AI6.2应助张广雪采纳,获得30
6秒前
小孟吖发布了新的文献求助10
6秒前
时光完成签到,获得积分10
7秒前
7秒前
8秒前
zzzzzz完成签到,获得积分10
8秒前
9秒前
液晶屏99完成签到,获得积分10
9秒前
thirteen完成签到,获得积分10
9秒前
9秒前
轻松的芾完成签到,获得积分20
9秒前
科研通AI6.2应助小逢逢采纳,获得10
10秒前
CodeCraft应助齐济采纳,获得10
10秒前
sheng发布了新的文献求助10
11秒前
优美的雅柔关注了科研通微信公众号
12秒前
12秒前
马dc发布了新的文献求助10
13秒前
李健应助记海采纳,获得10
13秒前
14秒前
14秒前
科研通AI6.2应助ws233采纳,获得10
15秒前
16秒前
CNYDNZB发布了新的文献求助10
16秒前
16秒前
16秒前
xlanister完成签到,获得积分10
17秒前
dlexdn发布了新的文献求助10
17秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011026
求助须知:如何正确求助?哪些是违规求助? 7558938
关于积分的说明 16135977
捐赠科研通 5157845
什么是DOI,文献DOI怎么找? 2762516
邀请新用户注册赠送积分活动 1741190
关于科研通互助平台的介绍 1633574