Hemodynamic evaluation of symptomatic and asymptomatic intracranial atherosclerotic stenosis using cerebral angiographic images: an exploratory study

医学 无症状的 狭窄 接收机工作特性 心脏病学 血流动力学 血管造影 内科学 放射科
作者
Jiayan Li,Lijun Wang,Yongxin Zhang,Xuan Zhu,Xiaoxi Zhang,Weilong Hua,Rundong Chen,Hanchen Liu,Wen Yin,Jianping Xiang,Pengfei Xing,Zifu Li,Rui Zhao,Yongwei Zhang,Jianmin Liu,Dongwei Dai,Lei Zhang,Pengfei Yang
出处
期刊:Journal of NeuroInterventional Surgery [BMJ]
卷期号:: jnis-022455
标识
DOI:10.1136/jnis-2024-022455
摘要

Background Previous studies suggest that it may be inappropriate to determine treatment strategies solely based on the degree of stenosis for patients with intracranial atherosclerotic stenosis (ICAS). In order to better risk stratify patients with ICAS, we developed a novel non-invasive fractional flow (FF) calculation technique based on intracranial angiography (Angio-FF) to assess the hemodynamics for patients with ICAS. This study aims to investigate the difference in FF between symptomatic and asymptomatic patients with ICAS and its potential optimal threshold. Methods A total of 124 patients with ICAS with severe intracranial stenosis who had undergone cerebral angiography were recruited. According to the time of onset, the patients were divided into a symptomatic ICAS group (n=78) and an asymptomatic ICAS group (n=46). The Angio-FF of each group was collected and compared. Receiver-operating characteristic curve (ROC) analysis was performed to assess the discriminative ability of Angio-FF to predict hemodynamics for ICAS. Results Compared with the asymptomatic ICAS group, the symptomatic ICAS group had a significantly lower Angio-FF (0.75 (0.66–0.85) vs 0.85 (0.77–0.89), P<0.001). The optimal cut-off value of Angio-FF for distinguishing symptomatic ICAS from asymptomatic ICAS was 0.785 (sensitivity 71.74%, specificity 57.69%). Conclusions Patients with Angio-FF <0.7853 may be more prone to intracranial ischemic events. Angio-FF of 0.7853 can serve as a boundary for whether patients with ICAS exhibit clinical symptoms.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
深几许完成签到,获得积分20
1秒前
1秒前
NexusExplorer应助淡然平灵采纳,获得10
2秒前
可靠若云发布了新的文献求助10
3秒前
852应助jiangcai采纳,获得10
4秒前
5秒前
长情小鸽子完成签到,获得积分10
5秒前
不开心发布了新的文献求助10
6秒前
SCIAI应助科研通管家采纳,获得10
6秒前
6秒前
jhope应助科研通管家采纳,获得10
6秒前
彭于晏应助科研通管家采纳,获得10
6秒前
无花果应助科研通管家采纳,获得10
6秒前
Animagus应助科研通管家采纳,获得10
7秒前
Ganlou应助科研通管家采纳,获得10
7秒前
Ganlou应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
方赫然应助科研通管家采纳,获得30
7秒前
Ao应助科研通管家采纳,获得20
8秒前
传奇3应助科研通管家采纳,获得10
8秒前
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
桐桐应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
Akim应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
星辰大海应助科研通管家采纳,获得10
9秒前
9秒前
康康完成签到 ,获得积分10
9秒前
10秒前
10秒前
10秒前
乐乐应助南隅采纳,获得10
10秒前
李花花完成签到,获得积分10
10秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3305566
求助须知:如何正确求助?哪些是违规求助? 2939312
关于积分的说明 8492936
捐赠科研通 2613754
什么是DOI,文献DOI怎么找? 1427569
科研通“疑难数据库(出版商)”最低求助积分说明 663115
邀请新用户注册赠送积分活动 647883