Noncontrast CT Versus CT Perfusion for Predicting Functional Outcomes After Endovascular Therapy in Acute Anterior Circulation Stroke: A Real-World Analysis [0.03%]
急性前循环卒中血管内治疗后非增强CT与CT灌注对功能结局的预测价值：基于真实世界的研究
Gaoshan Zhao,Wei Guo,Xiangjun Xu et al.
Gaoshan Zhao et al.
Rationale and objectives: This study aimed to investigate the impact of different imaging screening paradigms on outcomes in patients with large vessel occlusion (LVO) stroke who underwent endovascular therapy (EVT) in re...
A Machine-Learning Model Using Pre-treatment Multimodal Data to Predict Sentinel Lymph Node Status After Neoadjuvant Chemotherapy in Operable Early-stage Breast Cancer [0.03%]
一种使用新辅助化疗前多模态数据预测早期可手术乳腺癌患者(sentinel)腋窝淋巴结状态的机器学习模型
Mingli Jin,Aisen Yang,Yangjie Liu et al.
Mingli Jin et al.
Rationale and objectives: Although accurate preoperative prediction of sentinel lymph node (SLN) status in operable early-stage breast cancer (EBC) after neoadjuvant chemotherapy (NAC) is crucial for optimal axillary surg...
Diffusion Kurtosis Imaging-Based Radiomics for Preoperative Prediction of Lymph Node Metastasis in Colon and Rectal Cancer [0.03%]
基于弥散张量成像的影像组学预测结直肠癌淋巴结转移
Shutong Liu,Zijian Zhuang,Jiaai Gong et al.
Shutong Liu et al.
Rationale and objectives: To develop a diffusion kurtosis imaging (DKI)-based clinical-radiomics model for the preoperative prediction of lymph node metastasis (LNM) in colon and rectal cancer. ...
Prediction of Early Feeding Dysfunction in Neonates of Women with Gestational Diabetes Mellitus Using Late-pregnancy Maternal Glycemic Indices and Fetal Gastric Ultrasound Parameters: A Multicenter Prospective Cohort Study [0.03%]
基于孕晚期母体血糖水平和胎儿胃部超声参数预测妊娠期糖尿病新生儿早期喂养功能障碍：一项多中心前瞻性队列研究
Xihua Lian,Yishan Lin,Jing Bai et al.
Xihua Lian et al.
Rationale and objectives: To develop and validate a prenatal prediction model for early feeding dysfunction in neonates born to women with gestational diabetes mellitus (GDM) using late-pregnancy maternal glycemic indices...
Integrating CT Radiomics and Machine Learning for Preoperative Assessment of STAS Grading and Prognostic Stratification in Lung Adenocarcinoma [0.03%]
基于CT影像组学和机器学习的肺腺癌术前STAS分级及预后分层评估
Qiuxing Chen,Siqi Qu,Fang Chen et al.
Qiuxing Chen et al.
Rationale and objectives: The distance of spread through air spaces (STAS) dissemination is associated with prognosis in lung adenocarcinoma (LUAD). This study aimed to develop a computed tomography (CT) radiomics-based m...
Foundation Model-empowered Multimodal Prediction of Platinum Resistance in High-grade Serous Ovarian Cancer: A Multicenter Retrospective Study [0.03%]
基于基础模型的高阶浆液性卵巢癌铂耐药多模态预测：一项多中心回顾性研究
Qiu Bi,Linhao Qu,Yang Liu et al.
Qiu Bi et al.
Rationale and objectives: To develop and validate a foundation model (FM)-empowered multimodal framework to predict platinum resistance in patients with high-grade serous ovarian cancer (HGSOC). ...
Incremental Cancer Detection and False-Positive Burden of Screening Ultrasound After Negative Digital Breast Tomosynthesis: A 10-Year, 100,000-Examination Retrospective Study [0.03%]
负层析成像摄影结果为阴性的乳腺癌筛查患者行超声筛查的漏诊率和假阳性比率：一项10年，10万例回顾性研究
Katerina Dodelzon,Shreena Shah,Brielle Intorcia et al.
Katerina Dodelzon et al.
Rationale and objectives: Screening ultrasound has historically been used as an adjunct to mammography in women with dense breasts. However, most prior evidence predates widespread adoption of digital breast tomosynthesis...
Automated MRI Liver Segmentation For Accurate Quantification Of Hepatic Steatosis [0.03%]
自动MRI肝脏分割以准确量化肝脂肪变性
Xiaodie Wei,Shi Qi,Sitong Chen et al.
Xiaodie Wei et al.
Rationale and objectives: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical practice for hepatic fat quantification. However, the conventional manual region of interest (ROI) method is time-consumin...
Associations Between Five Key Personality Traits and Work Behaviors Among Radiologists: A Cross-Sectional Study [0.03%]
放射科医师五大关键人格特征与工作行为之间的关联：一项横断面研究
Kyle Robison,Krish Lal,Kiran Nandalur et al.
Kyle Robison et al.
Rationale and objectives: The Big Five personality framework, encompassing Conscientiousness, Open-mindedness, Extraversion, Agreeableness, and Negative Emotionality, describes key dimensions of individual behavior and ha...
Artificial Intelligence-Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics [0.03%]
基于人工智能的乳腺癌诊断计算机辅助检测：按乳腺密度、影像特征和肿瘤特征划分的差异性
Natalia Eugene,Chirag Parghi,Jafer Elabeid et al.
Natalia Eugene et al.
Rationale and objectives: To determine whether an FDA-approved artificial intelligence computer-aided detection and diagnosis (AI-CAD) system assigns varying case scores based on imaging features, tumor characteristics, a...