{"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}
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.
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.