心脏磁共振成像在冠状动脉疾病治疗中的应用综述。

IF 2 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Current Opinion in Cardiology Pub Date : 2025-11-01 Epub Date: 2025-10-02 DOI:10.1097/HCO.0000000000001259
Raymond Y Kwong, Bobak Heydari, Benedikt Bernhard
{"title":"心脏磁共振成像在冠状动脉疾病治疗中的应用综述。","authors":"Raymond Y Kwong, Bobak Heydari, Benedikt Bernhard","doi":"10.1097/HCO.0000000000001259","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Stress perfusion cardiac magnetic resonance imaging (CMR) has gained increasing adoption across North America and Europe for the evaluation of symptomatic suspected or established ischemic heart disease (IHD).</p><p><strong>Recent findings: </strong>Over the past decade, stress perfusion CMR has demonstrated excellent diagnostic and prognostic performance, particularly in patients at intermediate or high risk of IHD or with established coronary artery disease (CAD). After the landmark ISCHEMIA trial, stress CMR may play an important role in selecting patients for invasive management strategies and determination of revascularization technique. Artificial intelligence has streamlined CMR scanning techniques and in-line automation of quantitative pixelated perfusion maps. Quantitative stress CMR can evaluate absolute myocardial blood flow and perfusion reserve that improves risk stratification and detection of coronary microvascular disease (CMD). CMD detection may assist clinicians with diagnosis of chest pain in patients without obstructive CAD and improve prognostication and detection of pathophysiological mechanisms in a variety of cardiomyopathies.</p><p><strong>Summary: </strong>Quantitative stress perfusion CMR will play an important clinical role in evaluating patients at risk of IHD and cardiomyopathy with iterative cost and time efficiency owing to continued integration of artificial intelligence techniques. More widespread adoption will likely improve cost effective cardiac care and reduce adverse clinical outcomes.</p>","PeriodicalId":55197,"journal":{"name":"Current Opinion in Cardiology","volume":"40 6","pages":"448-458"},"PeriodicalIF":2.0000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A practical review of stress perfusion cardiac magnetic resonance imaging for the management of coronary artery disease.\",\"authors\":\"Raymond Y Kwong, Bobak Heydari, Benedikt Bernhard\",\"doi\":\"10.1097/HCO.0000000000001259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>Stress perfusion cardiac magnetic resonance imaging (CMR) has gained increasing adoption across North America and Europe for the evaluation of symptomatic suspected or established ischemic heart disease (IHD).</p><p><strong>Recent findings: </strong>Over the past decade, stress perfusion CMR has demonstrated excellent diagnostic and prognostic performance, particularly in patients at intermediate or high risk of IHD or with established coronary artery disease (CAD). After the landmark ISCHEMIA trial, stress CMR may play an important role in selecting patients for invasive management strategies and determination of revascularization technique. Artificial intelligence has streamlined CMR scanning techniques and in-line automation of quantitative pixelated perfusion maps. Quantitative stress CMR can evaluate absolute myocardial blood flow and perfusion reserve that improves risk stratification and detection of coronary microvascular disease (CMD). CMD detection may assist clinicians with diagnosis of chest pain in patients without obstructive CAD and improve prognostication and detection of pathophysiological mechanisms in a variety of cardiomyopathies.</p><p><strong>Summary: </strong>Quantitative stress perfusion CMR will play an important clinical role in evaluating patients at risk of IHD and cardiomyopathy with iterative cost and time efficiency owing to continued integration of artificial intelligence techniques. More widespread adoption will likely improve cost effective cardiac care and reduce adverse clinical outcomes.</p>\",\"PeriodicalId\":55197,\"journal\":{\"name\":\"Current Opinion in Cardiology\",\"volume\":\"40 6\",\"pages\":\"448-458\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/HCO.0000000000001259\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/HCO.0000000000001259","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

回顾目的:应激灌注心脏磁共振成像(CMR)在北美和欧洲越来越多地用于评估有症状的疑似或已确诊的缺血性心脏病(IHD)。最近的研究发现:在过去的十年中,应激灌注CMR已经证明了出色的诊断和预后性能,特别是在IHD中度或高风险或已确诊冠状动脉疾病(CAD)的患者中。在具有里程碑意义的缺血试验后,应激CMR可能在选择有创治疗策略的患者和确定血运重建技术方面发挥重要作用。人工智能简化了CMR扫描技术和定量像素化灌注图的在线自动化。定量应激CMR可以评估心肌绝对血流量和灌注储备,提高冠状动脉微血管疾病(CMD)的危险分层和检测。CMD检测可以帮助临床医生诊断非阻塞性CAD患者的胸痛,并改善各种心肌病的预后和病理生理机制的检测。摘要:由于人工智能技术的不断整合,定量应激灌注CMR将在评估IHD和心肌病风险患者方面发挥重要的临床作用,具有迭代成本和时间效率。更广泛的采用可能会提高心脏护理的成本效益,减少不良临床结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A practical review of stress perfusion cardiac magnetic resonance imaging for the management of coronary artery disease.

Purpose of review: Stress perfusion cardiac magnetic resonance imaging (CMR) has gained increasing adoption across North America and Europe for the evaluation of symptomatic suspected or established ischemic heart disease (IHD).

Recent findings: Over the past decade, stress perfusion CMR has demonstrated excellent diagnostic and prognostic performance, particularly in patients at intermediate or high risk of IHD or with established coronary artery disease (CAD). After the landmark ISCHEMIA trial, stress CMR may play an important role in selecting patients for invasive management strategies and determination of revascularization technique. Artificial intelligence has streamlined CMR scanning techniques and in-line automation of quantitative pixelated perfusion maps. Quantitative stress CMR can evaluate absolute myocardial blood flow and perfusion reserve that improves risk stratification and detection of coronary microvascular disease (CMD). CMD detection may assist clinicians with diagnosis of chest pain in patients without obstructive CAD and improve prognostication and detection of pathophysiological mechanisms in a variety of cardiomyopathies.

Summary: Quantitative stress perfusion CMR will play an important clinical role in evaluating patients at risk of IHD and cardiomyopathy with iterative cost and time efficiency owing to continued integration of artificial intelligence techniques. More widespread adoption will likely improve cost effective cardiac care and reduce adverse clinical outcomes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current Opinion in Cardiology
Current Opinion in Cardiology 医学-心血管系统
CiteScore
4.20
自引率
4.30%
发文量
78
审稿时长
6-12 weeks
期刊介绍: ​​​​​​Current Opinion in Cardiology is a bimonthly publication offering a unique and wide ranging perspective on the key developments in the field. Each issue features hand-picked review articles from our team of expert editors. With fourteen disciplines published across the year – including arrhythmias, molecular genetics, HDL cholesterol and clinical trials – every issue also contains annotated reference detailing the merits of the most important papers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信