Evaluation of diastolic function: Machine learning improves classification of left ventricular filling pressure [0.03%]
舒张功能评价：机器学习改善左心室充盈压分类
Faraz H Khan,Katsuji Inoue,Nobuyuki Ohte et al.
Faraz H Khan et al.
Aims: Current recommendations for echocardiography-based classification of left ventricular filling pressure (LVFP) as normal or elevated, are based on an algorithm and parameter selection determined by human experts. We ...
Lipoprotein(a) Selectively Associates with Vulnerable Coronary Plaque Phenotypes in Comparison with Other Established Risk Markers [0.03%]
与已知危险因素相比载脂蛋白(a)选择性地与易损冠状动脉斑块表型相关
Rebecca Fisher,Chen Gurevitz,Edward A Fisher et al.
Rebecca Fisher et al.
Aims: Lipoprotein(a) [Lp(a)] is an inherited cardiovascular risk factor. However, its association with coronary plaque characteristics beyond traditional risk enhancers remains unclear. We aimed to evaluate the associatio...
AI-CVD-AF: A Novel Atrial Fibrillation Prediction Model Based on Coronary Artery Calcium Scans [0.03%]
基于冠状动脉钙化扫描的新型房颤预测模型AI-CVD-AF
Seyed Reza Mirjalili,Kyle Atlas,Anthony P Reeves et al.
Seyed Reza Mirjalili et al.
Aims: The AI-CVD initiative seeks to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. We previously demonstrated that AI-derived cardiac chamber volumes from CAC scans...
Shreyans Patel,Marcos Ferrandez-Escarabajal,Jonathan Halperin et al.
Shreyans Patel et al.
Non-Modifiable Cardiovascular Risk Factors and Coronary Plaque Characteristics in Patients with Acute Coronary Syndromes [0.03%]
急性冠脉综合征患者的非可控心血管风险因素与冠状动脉斑块特征的关系
Riccardo Scalamera,Marco Covani,Stefano Andreaggi et al.
Riccardo Scalamera et al.
Aims: Cardiovascular risk factors predict adverse clinical outcomes, including acute coronary syndromes (ACS). A recent study showed close correlation between the number of modifiable risk factors and plaque vulnerability...
Beyond Ejection Fraction: Back to the Myocardium in the Assessment of Cardiac Function [0.03%]
超越射血分数：回到心肌评估心脏功能的时代
Erwan Donal,Paul-Calin Craciun,Bogdan A Popescu
Erwan Donal
Reappraising cardiac function with myocardial contraction fraction: normal values, disease detection and prognostication [0.03%]
从心肌收缩分数重新评估心脏功能：正常值、疾病检出及预后判断
Hibba Kurdi,George Thornton,Hunain Shiwani et al.
Hibba Kurdi et al.
Background: Assessing cardiac function is critical for managing cardiovascular disease, guiding treatment, monitoring progression, and risk stratification. While left ventricular ejection fraction (LVEF) is firmly establi...
Does adding a delayed phase to cardiac computed tomography for coronary artery evaluation have prognostic value? [0.03%]
延迟相冠状动脉CT评估的预后价值如何？
Tetsuya Oguni,Yasuhiro Izumiya,Seitaro Oda et al.
Tetsuya Oguni et al.
Aims: Cardiac computed tomography (CCT) assesses coronary anatomy and enables delayed phase imaging, including extracellular volume fraction (ECV) for diffuse myocardial fibrosis and late iodine enhancement (LIE) for foca...
Optimization of Echocardiographic Quantification of Aortic Regurgitation against CMR: Novel Algorithm Development and Prospective Validation [0.03%]
优化二尖瓣反流的超声心动图定量方法使其与CMR相匹配：新型算法的发展和前瞻性验证
Tom Kai Ming Wang,Richard Grimm,Zoran Popovic et al.
Tom Kai Ming Wang et al.
Aims: Cardiac magnetic resonance (CMR) compliments transthoracic echocardiography (TTE) for heart valve evaluation, however TTE remains more widely available. We sought to optimize transthoracic echocardiographic (TTE) qu...
Eike Nagel,Valentina O Puntmann
Eike Nagel