Open-Source AI Model for Predicting Respiratory Mortality in COPD from Chest Radiographs [0.03%]
开源AI模型：基于胸部X光片预测慢性阻塞性肺疾病患者的呼吸系统死亡率
Jong Hyuk Lee,Chang-Hoon Lee,Jayoun Kim et al.
Jong Hyuk Lee et al.
Purpose To evaluate the clinical utility of artificial intelligence (AI) scores in years derived from chest radiographs (CXR-Lung-Risk scores) in predicting respiratory mortality in a cohort of patients with chronic obstructive pulmonary di...
Prognostic Implications of the Periaortic Fat Attenuation Index in Uncomplicated Type B Aortic Dissection [0.03%]
主动脉壁外脂肪衰减指数在无并发症B型主动脉夹层中的预后价值研究
Yusuke Adachi,Kazutaka Ueda,Yuka Otaki et al.
Yusuke Adachi et al.
Purpose To evaluate the prognostic value of the periaortic fat attenuation index (FAI), which noninvasively captures vascular inflammation on noncontrast CT images, in managing uncomplicated type B aortic dissection (TBAD). Materials and Me...
Multicenter Study
Radiology. Cardiothoracic imaging. 2025 Oct;7(5):e240521. DOI:10.1148/ryct.240521 2025
Pleural Mesothelioma: Ninth Edition of the TNM Staging Classification [0.03%]
有关 pleural mesothelioma 的 TNM 分期标准第九版分类
Chad D Strange,Jitesh Ahuja,Rishi Agrawal et al.
Chad D Strange et al.
The ninth edition of the TNM staging classification of pleural mesothelioma is an update in the TNM staging, refining the tumor descriptors with the first-time use of a size criteria for tumor evaluation in addition to invasion of adjacent ...
Temporal Trends in Device-related Thrombosis Following Left Atrial Appendage Occlusion: A Systematic Review and Meta-Analysis [0.03%]
左心耳封堵相关装置血栓 temporal trends:Systematic review and meta-analysis
Tannaz Rajabi,Wei Li,Seyed Ali Nabipoorashrafi et al.
Tannaz Rajabi et al.
Purpose To perform a systematic review and meta-analysis to evaluate longitudinal trends in the incidence of device-related thrombosis (DRT) following left atrial appendage occlusion (LAAO), with the aim of informing future postprocedural s...
The Ninth Edition TNM Staging System for Thymic Epithelial Tumors: A Comprehensive Review [0.03%]
胸腺上皮肿瘤第九版TNM分期系统的全面解读
Maximiliano Klug,Zehavit Kirshenboim,Mylene T Truong et al.
Maximiliano Klug et al.
Accurate cancer staging is essential for guiding treatment decisions and predicting outcomes. The TNM classification is based on three principal elements: size and extent of the primary tumor (T), the degree of spread to regional lymph node...
Intercostal Nerve Protection Using Extrapleural Air during Percutaneous Cryoablation of Peripheral Lung Tumors [0.03%]
使用胸膜外空气保护肋间神经的经皮肺周边肿瘤冷冻消融技术
Julian A Westphal,Alexander Graur,Florian J Fintelmann
Julian A Westphal
Purpose To assess the feasibility of extrapleural air injection as a simple technique to protect intercostal nerves against thermal injury during image-guided percutaneous cryoablation of peripheral lung tumors. Materials and Methods This r...
Niraj Nirmal Pandey,Mansi Verma
Niraj Nirmal Pandey
Relation of Coronary Artery Disease and High-Sensitivity Cardiac Troponin: Evaluation with CCTA and AI-enabled Plaque Quantification [0.03%]
冠心病与高敏心脏肌钙蛋白的关系：基于CT造影和人工智能的斑块评估研究
Aaisha Ferkh,John King Khoo,Selma Hasific et al.
Aaisha Ferkh et al.
Purpose To evaluate the relationship between artificial intelligence (AI)-quantified coronary plaque characteristics derived from coronary CT angiography (CCTA), stenosis severity, and high-sensitivity cardiac troponin T (hs-cTnT) levels in...
Impact of Deep Learning-based Artificial Intelligence Assistance on Reader Agreement in Coronary CT Angiography Interpretation [0.03%]
基于深度学习的人工智能在冠状动脉CT血管造影解读中的影响
Roberto Farì,Marly van Assen,Raymundo Quintana et al.
Roberto Farì et al.
Purpose To evaluate the impact of a fully automated, multitask deep learning (DL) algorithm on interreader agreement of coronary artery disease (CAD) detection and stenosis classification using coronary CT angiography (CCTA). Materials and ...
Cardiovascular MRI Feature-Tracking Strain Rate for Assessment of Diastolic Function [0.03%]
心血管MRI特征跟踪应变率在舒张功能评估中的应用
Jian L Yeo,Abhishek Dattani,Aseel Alfuhied et al.
Jian L Yeo et al.
Purpose To compare left ventricular (LV) peak early diastolic strain rate (PEDSR) and peak late diastolic strain rate (PLDSR) using cardiac MRI feature tracking (FT) across a spectrum of diastolic dysfunction and determine the association b...