Post-traumatic pericarditis following penetrating injury to the heart: a case report [0.03%]
心脏穿透伤后创伤性心包炎1例报告
Sowmya Ekhelikar,Ikechukwu Chukwudi,Gavin Lewis et al.
Sowmya Ekhelikar et al.
Post-traumatic pericarditis is a subtype of post-cardiac injury syndrome (PCIS) that occurs after non-iatrogenic cardiac trauma. Post-traumatic pericarditis is rare and difficult to diagnose. We present a case of post-traumatic pericarditis...
Exploring three-dimensional right ventricular shape and function in Tetralogy of Fallot patients [0.03%]
法洛四联症患者的三维右心室形态和功能研究
Robert R Zwaan,Yue Chen,Jop W Schneijdenberg et al.
Robert R Zwaan et al.
Tetralogy of Fallot (ToF) accounts for approximately 7-10% of all congenital heart disease and is frequently complicated by right ventricular (RV) dysfunction. Three-dimensional echocardiography (3DE) offers more accurate assessment of RV v...
Automated identification of cardiac amyloidosis using cross-modal neural networks on [Formula: see text]-Pyrophosphate SPECT imaging and clinical data [0.03%]
基于[Formula: see text]-焦磷酸盐SPECT影像和临床数据的心脏淀粉样变性自动识别的交叉模态神经网络方法
Fatih Batı,Nilüfer Bıçakcı,Musa Aydın et al.
Fatih Batı et al.
Accurate, early identification of transthyretin cardiac amyloidosis (ATTR-CA) is challenging yet critical for effective treatment. In this work, the modeled endpoint is scan positivity on [Formula: see text] scintigraphy, defined by the sem...
Machine learning algorithms for predicting arrhythmic events in Hypertrophic Cardiomyopathy: limited enhancement beyond late gadolinium enhancement [0.03%]
用于预测肥厚性心肌病心律失常事件的机器学习算法：晚期钆增强之外的有限改进
Joana Certo Pereira,Rita Amador,Armando Vieira et al.
Joana Certo Pereira et al.
We aimed to develop and assess the performance of a Machine learning (ML) model integrating common clinical features to predict arrhythmic events in patients with Hypertrophic Cardiomyopathy (HCM). Post-hoc analysis of an international mult...
Cardiac energetics and ventriculo-arterial interaction-based phenotyping in heart failure: a machine learning analysis [0.03%]
心力衰竭中心肌能量代谢和心室动脉相互作用的表型分析：机器学习方法
Kapil Rajendran,Aju Ajay,Arun Jude Alphonse et al.
Kapil Rajendran et al.
Left-ventricular cardiac power output (CPO), stroke-work index (LVSWI), and ventriculo-arterial coupling (VAC) capture cardiac energetics and ventricular-vascular interaction, however their bedside prognostic value in acute decompensated he...
CAPIRE score in suspected coronary artery disease: predicting spontaneous events or downstream revascularization? [0.03%]
疑似冠状动脉疾病患者中CAPIRE评分可预测自发事件或血运重建吗？
Oğuzhan Yılmaz,Serkan Ünlü,Özden Seçkin
Oğuzhan Yılmaz
Feasibility of 12-lead ECG reconstruction at rest and during adenosine stress perfusion inside a 3-Tesla MR scanner [0.03%]
在3特斯拉磁共振扫描仪中休息和腺苷负荷灌注时构建12导联心电图的可行性研究
Debbie Falconer,Maroua Mehri,Mohammed Bhiri et al.
Debbie Falconer et al.
Background Electrocardiographic (ECG) devices in magnetic resonance (MR) scanners have a narrow bandwidth and suffer from signal distortion, preventing measurement of QRS/ QT durations, or detection of ST/ T-wave changes during ischaemia. W...
Influence of left bundle branch block on left atrial strain parameters in patients with ischaemic and non-ischaemic dilated cardiomyopathy [0.03%]
左束支传导阻滞对缺血性和非缺血性扩张型心肌病患者左心房应变参数的影响
Antonia Petersen,P Kamieniarz,D Meteva et al.
Antonia Petersen et al.
Left atrial (LA) strain parameters predict mortality in patients with ischaemic/non-ischaemic dilated cardiomyopathy (DCM). Left bundle branch block (LBBB) is a common conduction abnormality in those patients. To date, the impact of LBBB on...
ST-segment elevation myocardial infarction in older adults: echocardiographic characterization and outcomes in contemporary practice : STEMI in older patients [0.03%]
老年成人急性 ST 段抬高型心肌梗死的当代临床特征和转归：经胸超声心动图研究
Laima Caunite,Rinchyenkhand Myagmardorj,Xavier Galloo et al.
Laima Caunite et al.
Evidence on cardiac remodeling, left ventricular (LV) function recovery, medication use and outcomes in older ST-segment elevation myocardial infarction (STEMI) patients is limited. We examined these aspects at baseline and evolution one ye...
Deep-learning denoising for ultrahigh-resolution photon-counting detector CT: phantom and in vivo evaluation of non-calcified coronary plaques [0.03%]
基于深度学习的超高分辨计数检测CT冠脉非钙化斑块成像的体内和体外研究
Sardi Hyska,Muhammad Taha Hagar,José Osoria-Velasquez et al.
Sardi Hyska et al.
To assess the value of convolutional neural network (CNN)-based denoising for the evaluation of non-calcified coronary plaques on ultrahigh-resolution (UHR) photon-counting detector (PCD) coronary CT angiography (CCTA). A dynamic phantom co...