AI-enabled Quantitative High-Risk Plaque Attributes for Predicting Coronary Events in Nonculprit Vessels [0.03%]
人工智能冠状动脉高危血管斑块的定量指标预测非罪犯血管事件
Qian Chen,Xiaofei Gao,Ling Lin et al.
Qian Chen et al.
Purpose To assess the prognostic value of artificial intelligence (AI)-derived high-risk features obtained from coronary CT angiography (CCTA) in nonculprit vessels of patients who have undergone percutaneous coronary intervention. Material...
Morné D Coetzee,Johan Sothmann,Christelle Ackermann et al.
Morné D Coetzee et al.
Harold Litt
Harold Litt
Clinical Characteristics and Prevalence of Apical Scarring at Chest CT in a Healthy Population [0.03%]
健康人群胸部CT检查肺结节和局部纤维化特点及流行病学调查
Atsuki Fukada,Hironao Hozumi,Taiki Fukuda et al.
Atsuki Fukada et al.
Purpose To determine the prevalence of apical scarring-which has recently also been referred to as pleuroparenchymal fibroelastosis (PPFE)-like lesions, a characteristic finding at chest CT in idiopathic PPFE-in apparently healthy individua...
Prognostic Value of Cardiac MRI-derived Left Atrial and Biventricular Function in Children with Repaired Tetralogy of Fallot [0.03%]
肺动脉瓣闭合的法洛四联症术后患儿左心房及双心室功能的心脏磁共振影像学特征及其预后价值研究
Yanyan Ma,Rongzhen Ouyang,Liwei Hu et al.
Yanyan Ma et al.
Purpose To evaluate whether left atrial (LA) function assessed with cardiac MRI provides incremental prognostic value beyond biventricular function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods In this prospect...
Deep Learning Automated Measurement of Shunt Severity with Estimation of Uncertainty in 4D Flow MRI [0.03%]
基于4D流速MRI的动静脉瘘分流严重程度的深度学习自动测量及其不确定性估算方法
Akhilesh R R Yeluru,Arielle Tycko,Noe Cazares Jr et al.
Akhilesh R R Yeluru et al.
Purpose To assess the feasibility of a deep learning (DL) system to fully automate systemic and pulmonary blood flow measurement with four-dimensional (4D) flow MRI. Materials and Methods A total of 188 clinical 4D flow MRI examinations wer...
Ferumoxytol-enhanced Ultrashort Echo Time MRI of Cardiovascular Stents in Patients with Congenital Heart Disease: A Feasibility Study [0.03%]
富马酸铁增强的超短回波时间磁共振成像评估先天性心脏病患者的血管内支架：一项可行性研究
Tayaba Miah,Sukran Erdem,Munes Fares et al.
Tayaba Miah et al.
Purpose To investigate the potential of using a three-dimensional (3D) ultrashort echo time (UTE) cardiovascular MRI sequence in conjunction with ferumoxytol for imaging extracardiac vascular stents. Materials and Methods Children and young...
Rapid Visualization of Valves and Myocardium Using Volume Rendering of 3D Cardiac MRI, 4D Cine, and 4D Flow Images [0.03%]
基于3D心脏MRI、4D电影和4D流图像的体积渲染快速可视化瓣膜和心肌
Julia Iacovella,Danish Vaiyani,Sehdev Pressley et al.
Julia Iacovella et al.
Purpose To develop a volume rendering method to visualize myocardial structures and blood flow using three-dimensional (3D), four-dimensional (4D) cine, and 4D flow cardiac MRI. Materials and Methods In this retrospective study, custom tran...
Comparison of a Natural Language Processing Model and Large Language Models for Extracting Incidental Lung Nodule Data [0.03%]
自然语言处理模型与大型语言模型在提取肺结节意外数据方面的比较
João Martins da Fonseca,Alysson Roncally Carvalho,Rosana Souza Rodrigues et al.
João Martins da Fonseca et al.
Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis [0.03%]
基于冠状动脉钙CT扫描的肌间脂肪人工智能评估预测慢阻肺：动脉粥样硬化多元民族研究中的应用
Amir Azimi,Kyle Atlas,Anthony P Reeves et al.
Amir Azimi et al.
Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnosed chronic obstructive pulmonary disease (COPD) and compare it with an artificial intellige...
Multicenter Study
Radiology. Cardiothoracic imaging. 2026 Feb;8(1):e250205. DOI:10.1148/ryct.250205 2026