当代功能性冠状动脉造影术：最新进展。

IF 1.6 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Future cardiology Pub Date : 2024-10-24 DOI:10.1080/14796678.2024.2416817

Josiah Bennett, Sanjay Chandrasekhar, Edward Woods, Patrick McLean, Noah Newman, Brett Montelaro, Hafeez Ul Hassan Virk, Mahboob Alam, Samin K Sharma, Hani Jned, Muzamil Khawaja, Chayakrit Krittanawong

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引用次数: 0

摘要

功能性冠状动脉造影术（FCA）是一种评估冠状动脉病变生理学的新模式，它超越了传统冠状动脉造影术的解剖可视化范围。功能性冠状动脉造影结合了分数血流储备（FFR）和瞬时无波比（IFR）等指标，利用测量冠状动脉狭窄处的压力来评估血流动力学影响并指导血管再通策略。在这篇综述中，我们将介绍 FCA 的传统和发展模式及用途。我们还将评估现有证据，并讨论 FCA 在各种临床情况下的适用性。最后，我们将深入探讨 FCA 的新兴证据、当前挑战和未来发展方向。

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Contemporary Functional Coronary Angiography: An Update.

Functional coronary angiography (FCA) is a novel modality for assessing the physiology of coronary lesions, going beyond anatomical visualization by traditional coronary angiography. FCA incorporates indices like fractional flow reserve (FFR) and instantaneous wave-free ratio (IFR), which utilize pressure measurements across coronary stenoses to evaluate hemodynamic impacts and to guide revascularization strategies. In this review, we present traditional and evolving modalities and uses of FCA. We will also evaluate the existing evidence and discuss the applicability of FCA in various clinical scenarios. Finally, we provide insight into emerging evidence, current challenges, and future directions in FCA.

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来源期刊

Future cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

2.80

自引率

5.90%

发文量

期刊介绍： Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.