Automated analysis of echocardiographic images: do different artificial intelligence tools provide concordant measurements? [0.03%]
自动化分析心超图像：不同的工智能工具是否提供一致的测量结果？
Teodora Szasz,Juan I Cotella,Jeremy A Slivnick et al.
Teodora Szasz et al.
The use of artificial intelligence (AI) in echocardiography has been growing continuously, particularly in chamber quantification and disease detection. Although studies have validated different AI approaches for automated quantification of...
Equivalence of feature-tracking-derived myocardial strain across spatial resolution and compressed sensing acceleration [0.03%]
基于特征跟踪的心肌应变在空间分辨率和压缩感知加速下的等价性评估
Baptiste O P Wyssa,Lindsey A Crowe,Jean-François Deux et al.
Baptiste O P Wyssa et al.
Reference values for myocardial strain as measured by feature-tracking (FT) MRI cine images are known. As these values may be impacted by source image resolution, we aimed at assessing strain parameters across low-resolution single-shot and...
Relationship of cardiac MRI-derived pulmonary arterial stiffness markers and invasive hemodynamic [0.03%]
心脏MRI衍生的肺动脉 stiffness 标记物与侵入性血流动力学的关系
Ipek Buber,Paul Heerdt,Inderjit Singh et al.
Ipek Buber et al.
Pulmonary arterial stiffness (PAS) is a noninvasive imaging biomarker associated with disease severity in pulmonary hypertension (PH). This study aimed to evaluate PAS using cardiac magnetic resonance (CMR) imaging and investigate its relat...
Vieussens and Kugel coronary rings and severe lesion of the left main coronary artery [0.03%]
Vieussens和Kugel冠状动脉环和左主冠状动脉严重病变
Miguel B A Vicente,Gonçalo Terleira Batista
Miguel B A Vicente
Vieussens and Kugel arterial rings are rare anatomical variants of the coronary arteries, connecting the conical branch of the right coronary artery to the branches of the left coronary artery. We report a case of severe coronary artery dis...
Stefano Frittella,Roberto Tarantini,Tom C L Bracco Gartner et al.
Stefano Frittella et al.
Giacomo Maria Viani,Silan Aka,Alejandro Rodríguez Pérez et al.
Giacomo Maria Viani et al.
Myocardial infarction with non-obstructive coronary arteries (MINOCA) requires advanced imaging for etiological clarification. In a 76-year-old man initially suspected of myocarditis, cardiovascular magnetic resonance (CMR) revealed right v...
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images [0.03%]
一种针对高分辨率血管内超声图像的钙化负担全自动量化方法学研究
Xingwei He,Mohamed O Mohamed,Nathaniel Yu Jian Ng et al.
Xingwei He et al.
Quantification of the calcific burden is valuable in percutaneous coronary intervention (PCI) planning and in research to assess its changes after pharmacotherapies targeting plaque progression. In intravascular ultrasound (IVUS) images thi...
Assessing the robustness of an artificial intelligence segmentation model for quantitative cardiovascular magnetic resonance imaging across cardiac phenotypes [0.03%]
评估心血管磁共振成像人工智能分割模型在不同心脏表型中的鲁棒性
Hadil Saad,Clemens Ammann,Thomas Hadler et al.
Hadil Saad et al.
Purpose: To introduce an artificial intelligence-based cardiovascular magnetic resonance segmentation algorithm (Nick) for automated quantification of function and parametric mapping across cardiac phenotypes reflecting c...
Coronary artery disease modifies the association of electrocardiography parameters with myocardial structure and function in COVID-19 convalescents [0.03%]
冠心病会改变心电图参数与新冠康复者心肌结构和功能之间的关系
Chia-Ying Liu,Chikara Noda,Saman Nazarian et al.
Chia-Ying Liu et al.
Establishing baseline global longitudinal strain values in heart transplant recipients [0.03%]
心脏移植受者的基线全球纵向应变值的建立
Arif Albulushi,Qasim Al Abri,Faisal Al Harthi et al.
Arif Albulushi et al.