Evolving role of intestinal ultrasound in the evaluation of Crohn's disease: A clinical- radiological perspective [0.03%]
肠超声在克罗恩病评估中的作用：临床影像学观点
Francesca Maccioni,Fortunata Civitelli,Antonio Iacuzio et al.
Francesca Maccioni et al.
This review examines the recent increase in both clinical and radiological interest in ultrasound in inflammatory bowel disease (IBD), with particular emphasis on its role in the assessment of Crohn's disease. Intestinal ultrasound (IUS) ha...
Spatial non-uniformity of liver virtual non-contrast attenuation on dual-layer spectral CT: Impact of body habitus and peripheral right-lobe error [0.03%]
双层谱CT肝脏虚拟未增强CT值的空间非均匀性：身体形态和右叶外周误差的影响
Vlastimil Valek Jr,Tomas Rohan,Katerina Pecinkova et al.
Vlastimil Valek Jr et al.
Purpose: To evaluate the global and spatial accuracy of virtual non-contrast (VNC) liver attenuation derived from dual-layer spectral CT and its association with patient body habitus. ...
Assessing the clinical applicability of large language models for microwave ablation guidance [0.03%]
评估大型语言模型在微波消融引导中临床适用性的研究
René Michael Mathy,Fabian Schmitz,Hans-Ulrich Kauczor et al.
René Michael Mathy et al.
Purpose: To evaluate the performance of five language models (LLMs)-ChatGPT, Gemini, Meta, Claude, and DeepSeek-in providing clinically relevant advice on microwave ablation (MWA), a minimally invasive therapy for tumor t...
Mahdi Zahedi,Pooya Eini,Mohammad Javad Alemzadeh-Ansari et al.
Mahdi Zahedi et al.
Background: Assessment of Left Main Coronary Artery (LMCA) stenosis is critical due to its prognostic significance. LMCA cross-sectional area in Coronary Computed Tomography Angiography (CCTA) can provide a non-invasive a...
Lipomatous hypertrophy of the interatrial septum: Risk factors, correlation with thoracic fat composition and clinical impact [0.03%]
房间隔脂肪垫的危险因素、与胸部脂肪成分的相关性及临床影响
Stefanie Meiler,Quirin Strotzer,Lucca Scheuermeyer et al.
Stefanie Meiler et al.
Introduction: Lipomatous Hypertrophy of the interatrial septum (LHIS) is a benign, non-encapsulated fat deposition in the septum secundum and is typically reported at a minimum thickness of 1-2 cm. A large-scale volumetri...
Clinical and radiologic predictors of one-year surgical outcomes in Crohn's disease-related intra-abdominal abscesses [0.03%]
克罗恩病相关性腹腔内脓肿一年手术预后的临床及影像学预测因素分析
Caroline Su,Julien Kirchgesner,Pauline Iorio et al.
Caroline Su et al.
Purpose: To identify clinical and radiological prognostic factors associated with delayed surgery after diagnosis of a Crohn's disease-related intra-abdominal abscess. ...
DCE-MRI kinetic heterogeneity facilitates the discrimination of benignity and malignancy of breast in combination with the DWI and morphological features [0.03%]
动态对比增强MRI结合弥散加权和形态学特征鉴别乳腺良恶性病变的异质性研究
Ruobing Wang,Yanhong Chen,Chen Luo et al.
Ruobing Wang et al.
Purpose: This study aimed to validate the diagnostic value of kinetic heterogeneity (KH) across multiple cohorts and to develop a nomogram integrating KH, apparent diffusion coefficient (ADC), and key morphological and cl...
Artificial intelligence for pulmonary embolism detection: Is it comparable to radiology residents? [0.03%]
肺栓塞检测的人工智能与放射科住院医生相比如何？
Periktioni Crina Chrysostomou,Alexandra Platon,Cyril Jaksic et al.
Periktioni Crina Chrysostomou et al.
Purpose: To assess the diagnostic performance of a commercial artificial intelligence (AI) software in detecting pulmonary embolism (PE) in emergency settings, compared with on-call radiology residents. ...
Agreement and workflow efficiency of AI-based coronary artery calcification quantification in lung cancer screening: Comparison with semi-automated and visual assessment [0.03%]
基于人工智能的肺癌筛查冠状动脉钙化定量检测的可重复性及工作效率与半自动、视觉评估方法的比较研究
Katharina Ochs,Falko Ensle,Jasmin Happe et al.
Katharina Ochs et al.
Objectives: To evaluate agreement and workflow implications of fully automated AI-based coronary artery calcification (CAC) quantification on non-ECG-gated low-dose CT in lung cancer screening, compared with semi-automate...
Multi-modal prediction model for thymic epithelial tumors: Enhancing surgical decisions and recurrence risk assessment from CT datasets [0.03%]
一种基于CT数据的多模态预测模型：提升胸腺上皮肿瘤手术决策及复发风险评估能力
Xing Wang,Fei Yang,Qiongliang Liu et al.
Xing Wang et al.
Background: Precise prediction of histology (TETs vs. Non-TETs), Masaoka-Koga staging, and WHO classification is essential for surgical and postoperative decisions. Artificial intelligence (AI) models have shown promise i...