Three-dimensional Mapping of Fibrosis Distribution in Desmoplakin Cardiomyopathy from Cardiac MRI [0.03%]
基于心脏MRI的Desmoplakin心肌病纤维化分布三维映射
Javiera Jilberto,Brennen McManus,Ahmad Moghrabi et al.
Javiera Jilberto et al.
Purpose To generate high-resolution fibrosis maps using universal ventricular coordinates for spatial characterization of fibrotic patterns across disease severity in desmoplakin cardiomyopathy. Materials and Methods This retrospective stud...
Leriche Syndrome [0.03%]
黎谢氏综合征
Zhidong Yuan,Xuehan Hu,Guanxun Cheng
Zhidong Yuan
Vendor-independent Aortic Valve Calcium Scoring in Patients with Discordant Echocardiographic Criteria of Severe Aortic Stenosis [0.03%]
独立于供应商的主动脉瓣钙化评分在存在严重主动脉瓣狭窄不一致超声心动图标准的患者中的评估
Magdalena M Dobrolińska,Niels van der Werf,Marcel J W Greuter et al.
Magdalena M Dobrolińska et al.
Purpose To apply a vendor-neutral Agatston score (vnAS) for aortic valve calcification across multiple CT systems and to aortic stenosis severity classification. Materials and Methods Anthropomorphic phantoms with varying degrees of calcifi...
Reclassifying Aortic Stenosis: When the Scanner Matters as Much as the Calcium [0.03%]
主动脉瓣狭窄的再分类：当造影设备的重要性不亚于钙化本身
Biyanka Jaltotage,Jonathon A Leipsic
Biyanka Jaltotage
Weijuan Zhou,Fuling Huang
Weijuan Zhou
Deep Learning for Assessment of Cardiac Chamber Enlargement on Anteroposterior Chest Radiographs [0.03%]
深度学习在胸部前后位X线片评估心腔扩大的应用研究
David M Dávila-García,Rashid A Barnawi,Samira Masoudi et al.
David M Dávila-García et al.
Purpose To develop a deep learning (DL) algorithm for identification of cardiac chamber enlargement (CCE) on anteroposterior chest radiographs using same-day transthoracic echocardiography (TTE) as a reference standard. Materials and Method...
AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis [0.03%]
使用CAC CT进行的AI量化肌少型脂肪症以预测房颤和心力衰竭：动脉粥样硬化的多民族研究
Amir Azimi,Kyle Atlas,Anthony P Reeves et al.
Amir Azimi et al.
Purpose To evaluate whether the artificial intelligence (AI)-quantified mean thoracic skeletal muscle (TSM) attenuation from coronary artery calcium (CAC) scans predicts incident cardiovascular disease (CVD), with a focus on atrial fibrilla...
First-in-Human Safety and Feasibility of Nodal and Pedal MR Lymphangiography with Gadopiclenol [0.03%]
钆塞酸二钠用于淋巴管显影的人体安全性和可行性研究
Scott M Thompson,Jeremy D Collins,Emily C Bendel et al.
Scott M Thompson et al.
Purpose To evaluate the preliminary technical development, safety, and feasibility of dynamic contrast-enhanced MR lymphangiography (DCE-MRL) performed with nodal and/or dermal injection of gadopiclenol. Materials and Methods This instituti...
Association of Deep Learning-based Myocardial Infarction Size Quantification in Cardiac MRI with Cardiac Biomarker Levels [0.03%]
基于深度学习的心肌梗死大小定量评价在心血管MRI中的临床意义及与心脏生物标志物的关系研究
Matthias Schwab,Mathias Pamminger,Christian Kremser et al.
Matthias Schwab et al.
Purpose To evaluate the reliability and clinical applicability of an artificial intelligence (AI)-based infarct size quantification method based on cardiac MR images in patients with ST-elevation myocardial infarction (STEMI). Materials and...
Free-breathing Dynamic MRI Analysis of Three-dimensional Diaphragm Curvatures in Pediatric Patients with Thoracic Insufficiency Syndrome [0.03%]
自由呼吸动态MRI评估胸廓发育不全综合征患儿膈肌三维曲率变化
Sina Dindarian,Shiva Shaghaghi,Mahdie Hosseini et al.
Sina Dindarian et al.
Purpose To quantify regional respiratory function using four-dimensional free-breathing dynamic MRI (dMRI) and evaluate vertical expandable prosthetic titanium rib surgery impact on diaphragm curvature in pediatric thoracic insufficiency sy...