Microsurgical anatomy of the early branches of the middle cerebral artery: morphometric analysis and classification with angiographic correlation

解剖 后备箱 大脑中动脉 医学 脑动脉 穿通动脉 颈内动脉 大脑前动脉 颈动脉分叉 动脉 颈动脉 放射科 生物 外科 缺血 心脏病学 生态学
作者
Necmettin Tanrıöver,Masatou Kawashima,Albert L. Rhoton,Arthur J. Ulm,Robert A. Mericle
出处
期刊:Journal of Neurosurgery [American Association of Neurological Surgeons]
卷期号:98 (6): 1277-1290 被引量:129
标识
DOI:10.3171/jns.2003.98.6.1277
摘要

The cortical arteries arising from the main trunk of the middle cerebral artery, proximal to its bifurcation or trifurcation, are called "early branches." The purpose of this study was to characterize these early branches.The early branches were characterized according to their sites and patterns of origin, diameters, and relative proximity to the internal carotid artery bifurcation, as well as the course and area of supply of their cortical branches based on an examination of 50 hemispheres. Special attention was directed to the perforating arteries that arose from the early branches and entered the anterior perforated substance. The anatomical findings were compared with data obtained from 109 angiograms.Early branches directed to the temporal and frontal lobes were found in 90 and 32% of the hemispheres, respectively. The early branches that arose more proximally from the M1 segment were larger than those arising distally. Lenticulostriate arteries arose from 81% of the early frontal branches (EFBs) and from 48% of the early temporal branches (ETBs). An average of two cortical arteries arose from the EFBs and 1.3 from the ETBs, the most common of which supplied the temporopolar and orbitofrontal areas. Although the microsurgical anatomy of the early branches demonstrates abundant diversity, they can be classified into clearly defined patterns based on anatomical features. These patterns can prove helpful in evaluating angiographic data and in planning an operative procedure.

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
情怀应助灰灰采纳,获得10
1秒前
1秒前
Leo完成签到,获得积分10
3秒前
5秒前
阳光的安南完成签到,获得积分10
5秒前
8秒前
罐罐完成签到 ,获得积分10
10秒前
11秒前
anchor发布了新的文献求助20
12秒前
脑洞疼应助花无知采纳,获得10
12秒前
晓晓发布了新的文献求助10
12秒前
小马甲应助西瓜采纳,获得10
16秒前
ghhhn发布了新的文献求助10
16秒前
隐形曼青应助emmm采纳,获得10
17秒前
云缘墨色完成签到 ,获得积分10
18秒前
anchor完成签到,获得积分10
20秒前
刻苦剑封完成签到 ,获得积分10
22秒前
22秒前
丘比特应助LEESO采纳,获得10
23秒前
浅辰完成签到,获得积分10
23秒前
27秒前
27秒前
王粒完成签到,获得积分10
27秒前
28秒前
极品小亮发布了新的文献求助10
30秒前
bkwal3617完成签到,获得积分10
31秒前
xxl发布了新的文献求助10
33秒前
34秒前
大个应助CJW采纳,获得10
34秒前
36秒前
yy完成签到,获得积分10
38秒前
王一生完成签到,获得积分10
39秒前
闻山发布了新的文献求助10
39秒前
Tianna完成签到 ,获得积分10
40秒前
大师现在发布了新的文献求助10
41秒前
mrx96完成签到 ,获得积分10
46秒前
46秒前
鲸鱼完成签到,获得积分10
48秒前
51秒前
kk_1315完成签到,获得积分0
51秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357427
求助须知:如何正确求助?哪些是违规求助? 8172077
关于积分的说明 17206842
捐赠科研通 5413092
什么是DOI,文献DOI怎么找? 2864878
邀请新用户注册赠送积分活动 1842345
关于科研通互助平台的介绍 1690526