Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using 129Xe and 1H MRI [0.03%]
基于129Xe和1H MRI的不确定性感知、端到端深度学习在功能性肺MRI定量中的应用
Joshua R Astley,Helen Marshall,Laurie J Smith et al.
Joshua R Astley et al.
Purpose To develop an automatic end-to-end deep learning pipeline for predicting the ventilation defect percentage (VDP) from coregistered functional hyperpolarized xenon 129 (129Xe) MRI and structural proton (1H) MRI scans without manual i...
Evaluating Coronary Arteries and Predicting Major Adverse Cardiovascular Events in Patients with Esophageal Cancer Using Coronary CT Angiography [0.03%]
应用冠状动脉CT血管成像评估食管癌患者的冠状动脉并预测不良心血管事件发生率
Rui Yang,Qian Xu,Chunrong Tu et al.
Rui Yang et al.
Purpose To evaluate alterations in coronary arteries in individuals with esophageal squamous cell carcinoma (ESCC) who received chemotherapy or chemoradiotherapy using coronary CT angiography (CCTA) parameters and explore their association ...
Anomalous Origin of Right Pulmonary Artery from Ascending Aorta: Pre- and Postoperative Noninvasive Hemodynamic Evaluation [0.03%]
右肺动脉起源于升主动脉的异常起源：术前术后非侵入性血流动力学评价
Cheng-Wei Yang,Qian-Wen Liu,Jiang-Hong Qian et al.
Cheng-Wei Yang et al.
This report describes the innovative use of computational fluid dynamics (CFD) in managing a case in a 17-year-old male patient with anomalous origin of the right pulmonary artery from the ascending aorta, presenting with hemoptysis. Given ...
Cardiac MRI Monitoring of Myocardial Tissue Changes in a Myocarditis Mouse Model with Histologic Validation [0.03%]
心肌炎小鼠模型的心肌组织变化的磁共振监测及组织学验证
Qinfang Miao,Wenjing Zhao,Zhenfeng Lyu et al.
Qinfang Miao et al.
Purpose To evaluate multiparametric cardiac MRI for assessing myocardial inflammation, fibrosis, and spatiotemporal distribution in autoimmune myocarditis, with histologic reference. Materials and Methods This study (December 2022 to Januar...
Krunoslav Budimir,Ivana Kuhtić,Pave Markoš et al.
Krunoslav Budimir et al.
Comparison between Dark-Blood LGE Sequence and Standard Bright-Blood LGE in the Assessment of Ventricular Myocardial Scarring: A Systematic Review and Meta-Analysis [0.03%]
暗血LGE与明血LGE评价心室瘢痕的比较：系统回顾和meta分析
Thiago de Gaultier Paulo,Stephan Altmayer,Giovanni Torri et al.
Thiago de Gaultier Paulo et al.
Purpose To perform a meta-analysis of the head-to-head performance of dark-blood (DB) late gadolinium enhancement (LGE) and bright-blood (BB) LGE for myocardial scar detection. Materials and Methods This systematic review and meta-analysis ...
Daniel Pinos,Lucas de Pádua Gomes de Farias,Carlotta Onnis et al.
Daniel Pinos et al.
Radiology: Cardiothoracic Imaging publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. This review article, led by the Radiology: Cardiothoracic Imaging Early Career Editorial Board, highlights sel...
Association between Impaired Lung Function and Pulmonary Perfusion Defects Assessed by Phase-resolved Functional Lung MRI [0.03%]
基于相位分辨功能磁共振成像的肺通气障碍与肺灌注缺陷的关系研究
Tao Ouyang,Qiming Liu,Andreas Voskrebenzev et al.
Tao Ouyang et al.
Purpose To investigate the association between impaired lung function and pulmonary perfusion defect percentage (QDP) using phase-resolved functional lung (PREFUL) MRI. Materials and Methods In this prospective study (March 2023-July 2024),...
Machine Learning-based Model for Major Adverse Cardiac Event Prediction in Patients with Hypertrophic Cardiomyopathy [0.03%]
基于机器学习的肥厚型心肌病患者主要不良心血管事件预测模型
Thomas Geyer,Christopher McIntosh,Vishesh Sood et al.
Thomas Geyer et al.
Purpose To develop a machine learning-based model to identify patients with hypertrophic cardiomyopathy (HCM) at high risk of major adverse cardiac events (MACEs) and key predictors of model performance. Materials and Methods This retrospec...