Predicting High-risk Lung Adenocarcinoma in Solid and Part-solid Nodules on Low-dose CT: A Multicenter Study [0.03%]
低剂量CT实性及亚实性肺腺癌高危病变的预测：多中心研究
Jieke Liu,Yong Li,Yu Long et al.
Jieke Liu et al.
Rationale and objectives: High-grade patterns, visceral pleural invasion, lymphovascular invasion, spread through air spaces, and lymph node metastasis are high-risk factors and associated with poor prognosis in lung aden...
Intra-individual Differences in Pericoronary Fat Attenuation Index Measurements Between Photon-counting and Energy-integrating Detector Computed Tomography [0.03%]
光子计数和能量积分检测CT测量冠周脂肪辐射衰减指数的组内差异性分析
Giuseppe Tremamunno,Milan Vecsey-Nagy,Muhammad Taha Hagar et al.
Giuseppe Tremamunno et al.
Rationale and objectives: The purpose of this study was to explore intra-individual differences in pericoronary adipose tissue (PCAT) fat attenuation index (FAI) between photon-counting detector (PCD)- and energy-integrat...
Non-invasive Prediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep Learning Features From 18F-FDG PET/CT Based on Interpretable Machine Learning [0.03%]
基于可解释机器学习的18F-FDG PET/CT临床、影像组学和深度学习特征非侵入性预测NSCLC淋巴结转移研究
Furui Duan,Minghui Zhang,Chunyan Yang et al.
Furui Duan et al.
Purpose: This study aimed to develop and evaluate a machine learning model combining clinical, radiomics, and deep learning features derived from PET/CT imaging to predict lymph node metastasis (LNM) in patients with non-...
Predicting Futile Recanalization by Cerebral Collateral Recycle Status in Patients with Endovascular Stroke Treatment: The CHANOA Score [0.03%]
基于脑血管侧支循环状态预测机械取栓患者无效再通：CHANOA评分
Chen Gong,Shuyu Jiang,Liping Huang et al.
Chen Gong et al.
Rationale and objectives: The correlation between collateral circulation and futile recanalization (FR) is still controversial, and few studies have explored the influence of comprehensive cerebral collateral circulation ...
Benjamin R Gray,J Mark Mutz,Richard B Gunderman
Benjamin R Gray
Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports [0.03%]
通过大型语言模型辅助分析增强肿瘤监测：比较GPT-4和Gemini在连续腹部CT报告评估中的应用研究
Na Yeon Han,Keewon Shin,Min Ju Kim et al.
Na Yeon Han et al.
Rationale and objectives: We aimed to compare the capabilities of two leading large language models (LLMs), GPT-4 and Gemini, in analyzing serial radiology reports, to highlight oncological issues that require further cli...
Triple Rule Out CT in the Emergency Department: Clinical Risk and Outcomes (Triple Rule Out in the Emergency Department) [0.03%]
急诊科 Triple Rule Out CT 的临床风险和预后研究
Philip A Araoz,Srikanth Gadam,Aditi K Bhanushali et al.
Philip A Araoz et al.
Rationale and objectives: Triple rule out CT protocols (TRO-CT) have been advocated as a single test to simultaneously evaluate major causes of acute chest pain, in particular acute myocardial infarction (MI), acute pulmo...
The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with 68Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma [0.03%]
基于机器学习的放射组学模型评估肝细胞癌微血管侵犯的价值：一种使用68Ga-FAPI正电子发射断层扫描成像的方法
Rongqin Fan,Xueqin Long,Xiaoliang Chen et al.
Rongqin Fan et al.
Rationale and objectives: This study aimed to develop a radiomics model characterized by 68Ga-fibroblast activation protein inhibitors (FAPI) positron emission tomography (PET) imaging to predict microvascular invasion (M...
Navigating Well-being in Radiology: Strategies, Challenges, and Opportunities Across Career Transitions [0.03%]
放射学中的福祉导航：职业过渡期的战略、挑战与机遇
Carlos Zamora
Carlos Zamora
Radiomics for differentiating pancreatic Mucinous Cystic Neoplasm from Serous Cystic Neoplasm: Systematic Review and Meta-Analysis [0.03%]
用于鉴别胰腺黏液性囊性肿瘤和浆液性囊性肿瘤的影像组学：系统评价及 meta 分析
Longjia Zhang,Boyu Diao,Zhiyao Fan et al.
Longjia Zhang et al.
Background: As pancreatic cystic neoplasms (PCN) differ in current standard of care, and these treatments can affect quality of life to varying degrees, a definitive preoperative diagnosis must be reliable. Current diagno...