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JACC. Cardiovascular imaging最新文献

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AI-Derived Ischemia Score From Coronary CT Angiography Predicts Myocardial Infarctions: Insights From the SCOT-HEART Trial. 来自冠状动脉CT血管造影的ai衍生缺血评分预测心肌梗死:来自SCOT-HEART试验的见解
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-05 DOI: 10.1016/j.jcmg.2026.01.004
Waseem Hijazi, Joel Lenell, Kajetan Grodecki, Jacek Kwiecinski, Robert J H Miller, Daniel S Berman, David E Newby, Michelle C Williams, Piotr J Slomka, Damini Dey
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引用次数: 0
Mechanical Wave Analysis at High Frame-Rate Echocardiography 高帧率超声心动图的机械波分析:可行性、决定因素和正常范围。
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.08.006
Eswar Sivaraj MS , Lasse Lovstakken PhD , Raphaela Corney BMedRes (Hons) , Solveig Fadnes PhD , Torvald Espeland MD , Kristoffer Andresen MD , Thomas H. Marwick MBBS, PhD, MPH

Background

High–frame rate echocardiography can identify naturally occurring mechanical waves (MWs). As the velocity of MWs is related to tissue properties, this methodology could solve a fundamental shortcoming of echocardiography. However, to be useful clinically, there would need to be limited overlap between the normal range of MWs and measurements associated with pathology such as left ventricular dysfunction and ischemic heart disease.

Objectives

This study aims to evaluate the feasibility, key determinants, and normal ranges of MWs in asymptomatic people and in patients with cardiac pathology.

Methods

Asymptomatic participants were recruited from a community-based heart failure surveillance program. Clinical evaluation, 6-minute walk test, and echocardiography with specialized high–frame rate imaging were performed. MW signals from atrial kick (AK), aortic valve closure (AVC), and mitral valve closure (MVC) were acquired from parasternal long-axis (PLAX) and apical 4-chamber (A4C) windows. Measurements were averaged across 3 cycles using automated and manual methods, and outliers were removed (AVC >9 m/s, MVC >9 m/s, and AK >7 m/s). Participants were classified into normal and abnormal groups on the basis of echocardiographic and clinical parameters.

Results

Of the 239 participants, manual measurement was feasible in 80% for AK, 77% for AVC, and 77% for MVC MWs in the PLAX view and in 91%, 85%, and 62% in the A4C view. Manual measurements were more feasible than automated measurements. Clinical and echocardiographic markers of hemodynamic status and cardiac function had little or no association with MW velocities. Poor agreement was noted between A4C and PLAX MVC signals, especially with high-velocity measurements. In 66 participants without overt CVD, MW velocities in the PLAX view for AVC, MVC, and AK were 3.91 ± 1.82 m/s, 3.58 ± 1.67 m/s, and 1.77 ± 1.10 m/s. In the A4C view, these were 4.09 ± 1.54 m/s, 5.63 ± 1.61 m/s, and 1.24 ± 0.38 m/s, respectively. These values were generally slightly higher in 103 asymptomatic people with subclinical dysfunction. Only AK measurements were significantly different between patients with normal and abnormal findings on echocardiography. There was little bias within and between observers, but limits of agreement were wide for all measures.

Conclusions

MW measurement, especially AK, is a feasible adjunct to standard echocardiography. However, the normal ranges are wide, even among participants with otherwise normal studies. MW velocities do not seem to be abnormal in subclinical dysfunction.
背景:高帧率超声心动图可以识别自然发生的机械波(MW)。由于超声心动图的速度与组织特性有关,这种方法可以解决超声心动图的一个根本缺点。然而,为了在临床上有用,MW的正常范围和与左室功能障碍和缺血性心脏病等病理相关的测量之间需要有有限的重叠。目的:探讨无症状人群和心脏病变患者心肌梗死的可行性、关键决定因素和正常范围。方法:从社区心衰监测项目中招募无症状参与者。临床评估,6分钟步行试验,超声心动图与专门的高帧率成像。心房踢(AK)、主动脉瓣关闭(AVC)和二尖瓣关闭(MVC)的MW信号从胸骨旁长轴(PLAX)和顶四室(A4C)窗口获得。使用自动和手动方法对三个周期的测量结果进行平均,并去除异常值(AVC和MVC >9 m/s, AK >7 m/s)。根据超声心动图和临床参数将参与者分为正常组和异常组。结果:在239名参与者中,手动测量AK-的可行性为80%,AVC-的可行性为77%,MVC-MW的可行性为77%,顶点视图的可行性为91%,85%和62%。人工测量比自动测量更可行。血流动力学和心功能的临床和超声心动图指标与毫瓦速度的关系很小或没有关系。在apical和PLAX视图MVC信号之间的一致性很差,特别是在高速测量时。158名正常人中,AVC、MVC和AK在PLAX中的运动速度分别为3.78±1.72、3.36±1.75、1.46±0.87 m/s。A4C组分别为3.32±1.72、4.14±1.98和1.23±0.49 m/s。超声心动图正常和异常患者之间只有AK测量值有显著差异。观察员内部和观察员之间几乎没有偏见,但所有措施的一致限度都很大。结论:超声心动图测量肌电位,尤其是心房电位是一种可行的辅助手段。然而,正常范围很广,即使在其他正常研究的参与者中也是如此。在亚临床功能障碍中,心肌梗死速度似乎没有异常。
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引用次数: 0
All the Way Up 一路向上:自然波成像(几乎)为临床实践做好了准备。
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.10.005
Olivier Villemain MD, PhD
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引用次数: 0
Full Issue PDF 完整版PDF
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/S1936-878X(26)00027-6
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引用次数: 0
Coronary Artery Calcification Scoring and Plaque Types in Sudden Deaths 猝死患者冠状动脉钙化评分和斑块类型
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.08.009
Teruo Sekimoto MD, PhD, Tatsuya Shiraki MD, PhD, Takamasa Tanaka MD, PhD, Takao Konishi MD, PhD, Fay Y. Lin MD, Ali H. Dakroub MD, Kenji Kawai MD, PhD, Rika Kawakami MD, PhD, Renu Virmani MD, Aloke V. Finn MD
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引用次数: 0
PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation PRIME 2.0:心血管成像相关机器学习评估清单建议要求的更新。
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.08.004
Nobuyuki Kagiyama MD, PhD , Márton Tokodi MD, PhD , Quincy A. Hathaway MD, PhD , Rima Arnaout MD , Rhodri Davies MD, PhD , Damini Dey PhD , Nicolas Duchateau PhD , Alan G. Fraser BSc, MB, ChB , Shinichi Goto MD, PhD , Ankush D. Jamthikar PhD , Carolyn S.P. Lam MBBS, PhD , Evangelos K. Oikonomou MD, DPhil , David Ouyang MD , Ambarish Pandey MD, MSCS , Timothy J. Poterucha MD , Zahra Raisi-Estabragh PhD , Jordan B. Strom MD, MSc , Qiang Zhang PhD , Naveena Yanamala PhD , Partho P. Sengupta MD, DM
The PRIME (Proposed Requirements for Cardiovascular Imaging–Related Machine Learning Evaluation) 2.0 checklist is an updated, domain-specific framework designed to standardize the development, evaluation, and reporting of artificial intelligence (AI) applications in cardiovascular imaging. This update specifically responds to rapid advances from traditional machine learning to deep learning, large language models, and multimodal generative AI. The updated checklist was developed through a modified Delphi process by an international panel of clinical and technical experts. In contrast to general AI reporting guidelines, it delivers detailed, practical recommendations on all critical aspects of AI research and builds upon the original 7-domain framework by incorporating cardiovascular imaging–specific complexities such as cardiac motion, imaging artifacts, and interobserver variability. By promoting transparency and rigor, PRIME 2.0 can serve as a vital resource for researchers, clinicians, peer reviewers, and journal editors working at the forefront of AI in cardiovascular imaging.
PRIME 2.0检查表是一个更新的、特定领域的框架,旨在标准化人工智能(AI)在心血管成像中的应用的开发、评估和报告。这一更新特别回应了从传统机器学习到深度学习、大型语言模型和多模态生成人工智能的快速发展。更新的清单是由一个国际临床和技术专家小组通过改进的德尔菲程序制定的。与一般的人工智能报告指南相比,它对人工智能研究的所有关键方面提供了详细、实用的建议,并通过纳入心血管成像特定复杂性(如心脏运动、成像伪影和观察者之间的可变性),在原始的七域框架的基础上建立。通过提高透明度和严谨性,PRIME 2.0可以作为研究人员、临床医生、同行审稿人和期刊编辑在心血管成像人工智能领域工作的重要资源。
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引用次数: 0
Can Cardiac Computed Tomography Refine Prognosis in Tricuspid Regurgitation? 心脏计算机断层扫描能改善三尖瓣反流的预后吗?
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.10.003
Nina Ajmone Marsan MD, PhD
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引用次数: 0
Patterns of Nonspecific Myocardial FDG Uptake in Patients Without Sarcoidosis With Normal CMR CMR正常的无结节病患者非特异性心肌FDG摄取模式
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.09.005
Stephen J. Hankinson MD, Akshay S. Desai MD, MPH, Garrick C. Stewart MD, MPH, Neal K. Lakdawala MD, MS, Michael M. Givertz MD, Usha B. Tedrow MD, MS, William H. Sauer MD, Ron Blankstein MD, Marcelo F. Di Carli MD, Sanjay Divakaran MD, MPH
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引用次数: 0
Synergistic Effect of Risk Factors and Cardiotoxic Cancer Therapies 危险因素和心脏毒性癌症治疗的协同作用:对癌症幸存者心衰筛查的意义。
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.08.007
Joshua Wong MBBS, Cheng Hwee Soh PhD, Joel Smith BSc, Quan Huynh PhD, Wojciech Kosmala MD, PhD, Thomas H. Marwick MBBS, PhD, MPH
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引用次数: 0
Refining Staging Paradigms of Cardiac Adverse Remodeling in Aortic Regurgitation 主动脉反流心脏不良重构的细化分期范式
IF 15.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-02-01 DOI: 10.1016/j.jcmg.2025.10.025
Cao Ma MD, Muwei Li PhD, Zhiwen Zhang MD
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引用次数: 0
期刊
JACC. Cardiovascular imaging
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