Evaluation of chronic carotid artery occlusion by non-contrast 3D-MERGE MR vessel wall imaging: comparison with 3D-TOF-MRA, contrast-enhanced MRA, and DSA

医学 闭塞 放射科 超声波 介入放射学 对比度(视觉) 神经组阅片室 磁共振血管造影 颈动脉 核医学 磁共振成像 内科学 神经学 计算机科学 人工智能 精神科
作者
Jin Zhang,Shenghao Ding,Huilin Zhao,Beibei Sun,Xiao Li,Yan Zhou,Jieqing Wan,Andrew J. Degnan,Jianrong Xu,Chengcheng Zhu
出处
期刊:European Radiology [Springer Nature]
卷期号:30 (11): 5805-5814 被引量:24
标识
DOI:10.1007/s00330-020-06989-1
摘要

To analyze the accuracy of a non-contrast MR vessel wall imaging technique, three-dimensional motion-sensitized driven equilibrium prepared rapid gradient echo (3D-MERGE) for diagnosing chronic carotid artery occlusion (CCAO) characteristics compared with 3D time-of-flight (TOF) MRA, and contrast-enhanced MRA (CE-MRA), using digital subtraction angiography (DSA) as a reference standard. Subjects diagnosed with possible CCAO by ultrasound were retrospectively analyzed. Patients underwent 3.0-T MR imaging with 3D-MERGE, 3D-TOF-MRA, and CE-MRA followed by DSA within 1 week. Diagnostic accuracy of occlusion, occlusion site, and proximal stump condition were assessed independently on 3 MRI sequences and DSA. Agreement of the above indicators was evaluated in reference to DSA. One hundred twenty-four patients with 129 suspected CCAO (5 with bilateral occlusions) met the inclusion criteria for our study. 3D-MERGE demonstrated a sensitivity, specificity, and accuracy of 97.0%, 86.7%, and 94.6%, respectively, with excellent agreement (Cohen’s κ = 0.85; 95% CI, 0.71, 0.94) for diagnosing CCAO in reference to DSA. 3D-MERGE was superior in diagnosing CCAO compared with 3D-TOF-MRA (Cohen’s κ = 0.61; 95% CI, 0.42, 0.77) and similar to CE-MRA (Cohen’s κ = 0.93; 95% CI, 0.86, 1.00). 3D-MERGE also had excellent agreement compared with DSA for assessing occlusion sites (Cohen’s κ = 0.85; 95% CI, 0.71, 0.97) and stump condition (Cohen’s κ = 0.83; 95% CI, 0.71, 0.94). Moreover, 3D-MERGE provided additional information regarding the occluded segment, such as distal lumen collapse and vessel wall lesion components. 3D-MERGE can reliably assess chronic carotid occlusive characteristics and has the ability to identify other vessel wall features of the occluded segment. This non-contrast MR vessel wall imaging technique is promising for assessment of CCAO. • Excellent agreement was found between 3D-MERGE and DSA for assessing chronic carotid artery occlusion, occlusion site, and proximal stump condition. • 3D-MERGE was shown to be a more accurate and efficient tool than 3D-TOF-MRA to detect the characteristics of the occluded segment. • 3D-MERGE provides not only luminal images for characterizing the proximal characteristics of occlusion but also vessel wall images for assessing the distal lumen and morphology of occlusion segment, which might help clinicians to optimize the treatment strategy for patients with chronic carotid artery occlusion.
最长约 10秒,即可获得该文献文件

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
1秒前
量子星尘发布了新的文献求助10
2秒前
song完成签到,获得积分10
2秒前
小甑发布了新的文献求助10
4秒前
5秒前
5秒前
6秒前
7秒前
李丙首完成签到,获得积分10
9秒前
lychee发布了新的文献求助10
9秒前
9秒前
chi123完成签到 ,获得积分10
10秒前
健忘的鸭子完成签到,获得积分10
11秒前
赘婿应助迁湾采纳,获得10
12秒前
茉莉花发布了新的文献求助10
13秒前
13秒前
13秒前
量子星尘发布了新的文献求助10
14秒前
14秒前
Infinit完成签到,获得积分10
15秒前
英俊的铭应助王王采纳,获得10
15秒前
一一发布了新的文献求助10
16秒前
贪玩含卉完成签到,获得积分10
17秒前
爱与感谢完成签到 ,获得积分10
19秒前
20秒前
带头大哥应助Cryer2401采纳,获得400
20秒前
21秒前
曾浩发布了新的文献求助10
22秒前
22秒前
矮小的牛排完成签到,获得积分10
22秒前
22秒前
klkl应助小不采纳,获得10
23秒前
忧郁道之完成签到 ,获得积分10
23秒前
ChemMa发布了新的文献求助10
24秒前
量子星尘发布了新的文献求助10
24秒前
慕青应助Grant采纳,获得10
24秒前
暴风少年发布了新的文献求助10
25秒前
lychee完成签到,获得积分10
26秒前
hchnb1234发布了新的文献求助10
26秒前
包容的小蚂蚁完成签到,获得积分10
29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
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5785553
求助须知:如何正确求助?哪些是违规求助? 5688705
关于积分的说明 15467891
捐赠科研通 4914643
什么是DOI,文献DOI怎么找? 2645317
邀请新用户注册赠送积分活动 1593098
关于科研通互助平台的介绍 1547432