The evolving role of cardiac imaging in patients with myocardial infarction and non-obstructive coronary arteries

医学 心脏病学 内科学 心肌梗塞 背景(考古学) 心脏成像 冠状动脉 重症监护医学 冠状动脉造影 临床实习 医学影像学 放射科 动脉 生物 古生物学 家庭医学
作者
Rocco Antonio Montone,Ik‐Kyung Jang,John F. Beltrame,Rosa Sicari,Maria Chiara Meucci,Michael F. Bode,Nicola Gaibazzi,Giampaolo Niccoli,Chiara Bucciarelli‐Ducci,Filippo Crea
出处
期刊:Progress in Cardiovascular Diseases [Elsevier BV]
卷期号:68: 78-87 被引量:34
标识
DOI:10.1016/j.pcad.2021.08.004
摘要

Myocardial infarction (MI) with non-obstructive coronary arteries (MINOCA) represents a heterogeneous clinical conundrum accounting for about 6%-8% of all acute MI who are referred for coronary angiography. Current guidelines and consensus documents recommend that these patients are appropriately diagnosed, uncovering the causes of MINOCA, so that specific therapies can be prescribed. Indeed, there are a variety of causes that can result in this clinical condition, and for this reason diagnostic cardiac imaging has an emerging critical role in the assessment of patients with suspected or confirmed MINOCA. In last years, different cardiac imaging techniques have been evaluated in this context, and the comprehension of their strengths and limitations is of the utmost importance for their effective use in clinical practice. Moreover, recent evidence is clearly suggesting that a multimodality cardiac imaging approach, combining different techniques, seems to be crucial for a proper management of MINOCA. However, great variability still exists in clinical practice in the management of patients with suspected MINOCA, also depending on the availability of diagnostic tools and local expertise. Herein, we review the current knowledge supporting the use of different cardiac imaging techniques in patients with MINOCA, underscoring the importance of a comprehensive multimodality cardiac imaging approach and proposing a practical diagnostic algorithm to properly identify and treat the specific causes of MINOCA, in order to improve prognosis and the quality of life in these patients.
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
自行输入昵称完成签到,获得积分20
刚刚
皮皮团发布了新的文献求助10
1秒前
bkagyin应助落后绿旋采纳,获得10
1秒前
大个应助美满又蓝采纳,获得10
1秒前
kei发布了新的文献求助10
1秒前
科研通AI6.4应助美满又蓝采纳,获得10
1秒前
打打应助美满又蓝采纳,获得30
2秒前
科研通AI6.4应助美满又蓝采纳,获得10
2秒前
FashionBoy应助美满又蓝采纳,获得10
2秒前
4秒前
科研通AI6.2应助勿忘我采纳,获得10
5秒前
哒哒哒发布了新的文献求助10
6秒前
6秒前
FashionBoy应助As故采纳,获得10
6秒前
7秒前
7秒前
8秒前
一一发布了新的文献求助10
8秒前
8秒前
孤独白拍发布了新的文献求助10
10秒前
11秒前
sjyplus1发布了新的文献求助10
13秒前
GSR完成签到,获得积分10
14秒前
14秒前
皮皮团发布了新的文献求助10
15秒前
啥也不会完成签到,获得积分10
15秒前
李可爱发布了新的文献求助10
16秒前
16秒前
科研通AI6.2应助大喵采纳,获得10
17秒前
爱笑的眼睛完成签到,获得积分10
18秒前
小树发布了新的文献求助10
18秒前
19秒前
20秒前
勿忘我发布了新的文献求助10
20秒前
孤独白拍完成签到,获得积分10
20秒前
22秒前
24秒前
小马甲应助破碎虚空采纳,获得10
25秒前
Happy_du完成签到,获得积分10
26秒前
闲01完成签到 ,获得积分10
26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
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 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 7643421
求助须知:如何正确求助?哪些是违规求助? 9216521
关于积分的说明 19771930
捐赠科研通 7208833
什么是DOI,文献DOI怎么找? 3276668
关于科研通互助平台的介绍 2438241
邀请新用户注册赠送积分活动 2274414