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Preoperative CT-based Radiomics Model for Predicting Micropapillary/Solid Patterns in Stage I Peripheral Lung Invasive Adenocarcinoma: A Propensity Score Matching Study [0.03%]
Yachao Ruan,Meirong Li,Zhan Feng et al. Yachao Ruan et al.
Purpose: To develop and validate an accurate computed tomography-based radiomics model for predicting high-grade (micropapillary/solid) patterns in T1-stage lung invasive adenocarcinoma (IAC) after propensity score matchi...
Artificial Intelligence Iterative Reconstruction for Dose Reduction in Pediatric Chest CT: A Clinical Assessment via Below 3 Years Patients With Congenital Heart Disease [0.03%] 儿童胸部CT剂量减少的人工智能迭代重建：基于3岁以下先天性心脏病患者的临床评估
Feifei Zhang,Liying Peng,Guozhi Zhang et al. Feifei Zhang et al.
Purpose: To assess the performance of a newly introduced deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in reducing the dose of pediatric chest CT by usin...
Quantification of Left Ventricular Trabecular Complexity in Patients With Hypertrophic Cardiomyopathy by Cardiovascular Magnetic Resonance Imaging Fractal Analysis: A Feasibility and Reproducibility Study [0.03%] 心血管磁共振成像分形分析在肥厚性心肌病患者左心室乳头肌复杂度定量研究：一项可行性和重复性研究
Xin Zhang,Jinyang Wen,Xuepei Tang et al. Xin Zhang et al.
Purpose: To investigate the left ventricular (LV) trabecular complexity and evaluate its relationship with LV cardiac function and especially myocardial strain in patients with hypertrophic cardiomyopathy (HCM). ...
Accuracy of Single-dose Transcatheter Aortic Valve Replacement Planning CT Angiography for the Detection of Coronary Artery Disease [0.03%] 经导管主动脉瓣置换术规划CT对冠心病的诊断价值研究
Florian T Gassert,Torkel B Brismar,Taha Durukan et al. Florian T Gassert et al.
Purpose: To assess the accuracy of transaortic valve replacement (TAVR) planning CT examinations with a broad detector and a single dose of contrast media to diagnose CAD in a large patient cohort. ...
Reduction of Streak Artifacts in the Superior Vena Cava for Better Visualization of Mediastinal Structures Through Virtual Monoenergetic Reconstructions Using a Photon-counting Detector Computed Tomography [0.03%] 基于光子计数探测器的虚拟单能量谱CT重建在减少上腔静脉伪影、优化纵隔结构显示中的作用
Greta Thater,Isabel Frerichs,Sylvia Büttner et al. Greta Thater et al.
Purpose: Computed tomography (CT) is crucial in oncologic imaging for precise diagnosis and staging. Beam-hardening artifacts from contrast media in the superior vena cava can degrade image quality and obscure adjacent st...
Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net [0.03%] 随访胸部CT中转移性肺癌病灶变化的深度学习同步分析：SimU-Net的优势
Neta Kenneth Portal,Shalom Rochman,Adi Szeskin et al. Neta Kenneth Portal et al.
Purpose: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a no...
Stuti Chandola,Ashu Seith Bhalla,Manisha Jana et al. Stuti Chandola et al.
The term "aspiration" describes lung injury that results from unintentional passage of contents other than air into the lungs and bronchial tree, commonly from the gastrointestinal and upper respiratory tracts. Only a small proportion of as...
Acute Lung Injury [0.03%] 急性肺损伤
Nupur Verma,Bruno Hochhegger,Sanjay Mukhopadhyay et al. Nupur Verma et al.
Acute lung injury (ALI) is acute pulmonary inflammation with underlying pathology of disruption of the pulmonary vasculature endothelial and alveolar epithelial barriers. ALI is not an uncommon diagnosis and has a myriad of causes including...
Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model [0.03%] 光子计数检测计算机断层扫描对定量间质性肺疾病机器学习模型的影响
Chi Wan Koo,Sean J Huls,Francis Baffour et al. Chi Wan Koo et al.
Purpose: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model. ...
Hikaru Watanabe,Katsunori Oikado,Yoshinao Sato et al. Hikaru Watanabe et al.