Recovery of oculomotor nerve palsy after endovascular and surgical treatment of posterior communicating artery aneurysms: A single institutional experience

作者
Siu King Mak,Liming Qiu,Yew Poh Ng
出处
期刊:Asian journal of neurosurgery [Medknow Publications]
卷期号:13 (03): 555-559 被引量:3
标识
DOI:10.4103/1793-5482.238085
摘要

Introduction: Surgical oculomotor nerve palsy(ONP), defined by ptosis, ophthalmoplegia, diplopia and pupillary dilatation, is associated with intracranial aneurysms, especially posterior communicating artery (PcomA) aneurysms. Treatment of PcomA aneurysms include endovascular coiling and surgical clipping. This study retrospectively compared the recovery of ONP in patients who underwent endovascular coiling or surgical clipping. Methods: A retrospective review of patients with PcomA aneurysms who presented with ONP between 1998 and 2012 in the National Neuroscience Institute, Singapore, was performed. Inclusion criteria included adult patients of age above 21 who have radiologically confirmed PcomA aneurysms with presentation of ipsilateral ONP. The aneurysms may be unruptured or ruptured with WFNS grade 2 subarachnoid hemorrhage (SAH) or better. Only patients with completely surgically or endovascularly obliterated PcomA aneurysms with regular follow-up are included. Results: A total of 22 patients were recruited. They were treated by either endovascular coiling or surgical clipping. The two groups of patients were demographically comparable, with 11 patients in each arm. 13 (59%) patients had unruptured aneurysms and 9 (41%) had WFNS grade 2 or better SAH. 13 (59%) patients presented with complete ONP and 9 (41%) had partial ONP. 64% of patients who underwent surgical clipping had resolution of ONP completely, compared to 18% of endovascularly coiling (P = 0.03) at 1-month follow-up. Conclusion: Compared to endovascular coiling, surgically clipped PcomA aneurysms are associated with a faster rate of full recovery of ONP.

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
FashionBoy应助文静元霜采纳,获得10
刚刚
甜甜斓发布了新的文献求助10
刚刚
机智皮皮虾完成签到,获得积分10
1秒前
woshi123应助嘻嘻哈哈采纳,获得20
1秒前
蒋若风发布了新的文献求助10
1秒前
无糖果粒橙应助ilmadf采纳,获得10
1秒前
1秒前
湛湛完成签到,获得积分20
2秒前
852应助风中诺言采纳,获得10
2秒前
星辰大海应助一叶知秋采纳,获得10
3秒前
4秒前
Gillian完成签到,获得积分10
5秒前
勤奋千风完成签到,获得积分10
6秒前
充电宝应助sxd20103316采纳,获得10
6秒前
7秒前
左友铭完成签到 ,获得积分10
7秒前
昏睡的傲珊完成签到,获得积分10
8秒前
ding应助永远永远有采纳,获得10
8秒前
Passion完成签到,获得积分10
8秒前
8秒前
9秒前
狂野枫叶发布了新的文献求助10
9秒前
法医小王子完成签到,获得积分10
10秒前
10秒前
JACK发布了新的文献求助10
12秒前
12秒前
dwh11完成签到,获得积分10
12秒前
13秒前
吴泰霞发布了新的文献求助10
13秒前
13秒前
13秒前
asymmetric糖发布了新的文献求助10
14秒前
赘婿应助甜甜斓采纳,获得10
14秒前
sxd20103316完成签到,获得积分10
14秒前
15秒前
田様应助Dellamoffy采纳,获得10
15秒前
16秒前
詹国丹发布了新的文献求助10
17秒前
HalfGumps发布了新的文献求助10
17秒前
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7584040
求助须知:如何正确求助?哪些是违规求助? 9162784
关于积分的说明 19608034
捐赠科研通 7165941
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431328
邀请新用户注册赠送积分活动 2257917