The Value of Deep Learning in Differentiating Thyroid Adenomatoid Nodules on Ultrasound: A Dual-Center Study [0.03%]
基于超声鉴别甲状腺腺瘤样结节的深度学习价值：一项双中心研究
Sheng Cheng,Xia Liang,Xian-Tao Zeng et al.
Sheng Cheng et al.
Rationale and objectives: Follicular neoplasms are difficult to classify by ultrasound, as they often present as thyroid adenomatoid nodules (TANU). Furthermore, fine-needle aspiration cytology (FNAC) exhibits limited acc...
A Machine Learning-Based Multimodal Model Integrating Radiomics and Clinical Features for Predicting Interstitial Lung Disease: Development and External Validation [0.03%]
基于机器学习的多模态模型结合影像组学和临床特征预测间质性肺疾病：研发及外部验证
Yi Wang,Ziyan Zhang,Xiangyu Dai et al.
Yi Wang et al.
Rationale and objectives: To develop and validate a multimodal model for predicting the risk of interstitial lung disease (ILD) by integrating radiomics features with clinical variables using machine learning (ML). ...
Habitat-Based Radiomic Quantification of Intratumoral Heterogeneity on Digital Breast Tomosynthesis for Predicting HER2 Status in Invasive Breast Cancer [0.03%]
基于乳腺断层合成影像的肿瘤内异质性量化预测侵袭性乳腺癌HER2状态的研究
Yifan Miao,Jie Liu,Yiping Gao et al.
Yifan Miao et al.
RATIONALE AND OBJECTIVE: This exploratory study aims to develop and validate a model on Digital Breast Tomosynthesis (DBT), using habitat‑based radiomics to quantify Intratumoral Heterogeneity (ITH) for non-invasive pre-operative predictio...
A Fusion Model of Time-dependent Diffusion MRI and Serum Biomarkers for Differentiating ICC from HCC: A Prospective Study [0.03%]
一种基于时间依赖性弥散磁共振成像和血清生物标志物融合模型鉴别ICC与HCC的前瞻性研究
Xing-Qing Qin,Yu-Chen Wei,Yong-Mei Huang et al.
Xing-Qing Qin et al.
Rationale and objectives: To investigate the feasibility of time-dependent diffusion MRI (td-dMRI) derived microstructural parameters and serum markers versus gadoxetic acid-enhanced MRI (EOB-MRI) in the differential diag...
Erin Gomez
Erin Gomez
Humor evolved in humans as an indicator of safety in group settings. Today, we can use humor in a variety of manners in both personal and professional settings. Evidence from the literature supports humor's utility as a tool that can be use...
Investigating the Association Between Carotid Atherosclerotic Plaque Characteristics And Lacunar Infarction Using High-Resolution Vessel Wall Imaging [0.03%]
基于高分辨率血管壁成像的颅内外动脉粥样硬化斑块特征与腔隙性脑梗死的关系研究
Decheng Meng,Ran Huo,Huimin Xu et al.
Decheng Meng et al.
Rationale and objectives: Increasing evidence links large artery atherosclerosis to cerebral small vessel disease(CSVD), but the relationship between carotid vulnerable plaque features and lacunar infarction (LAC) remains...
Spectral CT-Derived Virtual Non-contrast Imaging and Extracellular Volume of the Liver: Effects of Cirrhosis and Sex [0.03%]
光谱CT衍生的虚拟未加造影剂成像和肝细胞外体积：肝硬化和性别的影响
Anna-Katharina Gerstner,Tatia Telia,Heinz Zoller et al.
Anna-Katharina Gerstner et al.
Background: This study evaluated spectral computed tomography-based iodine density quantification for calculation of virtual non-contrast (VNC) images and extracellular volume (ECV) in the context of liver cirrhosis and s...
Incremental Diagnostic Value of Right Atrial Strain in Arrhythmogenic Right Ventricular Cardiomyopathy: A Cardiac MRI Study [0.03%]
右心室心肌病的右心房应变的增量诊断价值：一项心脏磁共振研究
Wenqing Xu,Jing Zhao,Yanyan Song et al.
Wenqing Xu et al.
Rationale and objectives: To evaluate the discriminative performance of right atrial (RA) phasic function in arrhythmogenic right ventricular cardiomyopathy (ARVC) patients with preserved right ventricular (RV) function. ...
Non-invasive Tests for the Prediction of Liver-related Events in Patients with MASLD: A Systematic Review and Meta-analysis [0.03%]
用于预测MASLD患者肝相关事件的无创检测的系统评价和 meta 分析
Xinkai Wang,Xue Dong,Luodan Qian et al.
Xinkai Wang et al.
Rationale and objectives: While guidelines recommend tests like the FIB-4 index and liver stiffness measurements (LSM) to identify high-risk Metabolic dysfunction-associated steatotic liver disease (MASLD) patients, their...
Automated Analysis of Carotid Plaque Components in CT Angiography: Performance and Prognosis in Symptomatic Carotid Stenosis Patients [0.03%]
基于CT血管造影的颈动脉斑块组分自动分析及其在症状性颈动脉狭窄患者中的临床意义研究
Min Jie Zhao,Xiao Qing Cheng,Peng Peng Xu et al.
Min Jie Zhao et al.
Rationale and objectives: To develop and validate the performance and prognostic value of a deep-learning (DL) model for carotid plaque component quantification on CTA. ...