On the Prognostic Value of T5-Level Sarcopenia in NSCLC: Challenges in Measurement, Modeling, and Interpretation [0.03%]
肺鳞癌T5水平肌少症的预后价值：测量、建模和解读面临的挑战
Tiezhu Ren,Long Ma,Chenyang Zhang et al.
Tiezhu Ren et al.
Diagnostic Performance of Exendin-4 PET/CT in Localizing Insulinomas: A Systematic Review and Meta-analysis [0.03%]
艾塞那肽正电子发射断层扫描/计算机体层摄影诊断胰岛素瘤的定位效能：系统评价和 meta 分析
Wan Qi-Chang,Wei Lan,Ji Bin
Wan Qi-Chang
Purpose: To systematically evaluate the performance of Exendin-4 PET/CT in localizing insulinomas in patients with endogenous hyperinsulinemic hypoglycemia (EHH). ...
Integrating Multi-Modal Imaging Features for Early Prediction of Acute Kidney Injury in Pneumonia Sepsis: A Multicenter Retrospective Study [0.03%]
整合多模态影像组学特征预测肺炎脓毒症急性肾损伤的前瞻性研究
Yiding Gu,Langjun Li,Keyi Yang et al.
Yiding Gu et al.
Rationale and objectives: Sepsis, a severe complication of infection, often leads to acute kidney injury (AKI), which significantly increases the risk of death. Despite its clinical importance, early prediction of AKI rem...
Can Machine Learning Models Based on Radiomic and Clinical Information Improve Radiologists' Diagnostic Performance for Bone Tumors? An MRMC Study [0.03%]
基于影像组学和临床信息的机器学习模型能否提高骨肿瘤诊断性能？一项MRMC研究
Derun Pan,Liyi Yuan,Sina Wang et al.
Derun Pan et al.
Rationale and objectives: To explore whether machine learning models of bone tumors can improve the diagnostic performance of imaging physicians. Material...
Influencing Factors and Nomogram Model Construction of Cancer-related Fatigue in Primary Liver Cancer Patients Post-TACE Treatment [0.03%]
经导管动脉化疗栓塞治疗后原发性肝癌患者癌症相关疲劳的影响因素及预测模型构建
Ji Zhang,Jiaoli Zu
Ji Zhang
Rationale and objectives: Cancer-related fatigue (CRF) is a common and persistent symptom in primary liver cancer patients undergoing transarterial chemoembolization (TACE), significantly impacting their quality of life a...
Longitudinal Ultrasound Delta Radiomics for Early Stratified Prediction of Tumor Response to Neoadjuvant Chemotherapy in Breast Cancer [0.03%]
乳腺癌新辅助化疗肿瘤反应的纵向超声影像组学早期分层预测研究
Mengyun Wang,Zhibin Huang,Hongtian Tian et al.
Mengyun Wang et al.
Rationale and objectives: To develop and evaluate Delta-radiomics models based on ultrasound imaging for early prediction and stratification of tumor response to neoadjuvant chemotherapy (NAC) in breast cancer (BC), aimin...
Evaluating the Accuracy and Efficiency of AI-Generated Radiology Reports Based on Positive Findings-A Qualitative Assessment of AI in Radiology [0.03%]
基于阳性发现的AI生成放射学报告的准确性和效率评估——放射学中AI的定性评价
Rizwana Farween Rajmohamed,Shashank Chapala,Mohamed Ashiq Shazahan et al.
Rizwana Farween Rajmohamed et al.
Background: With increasing imaging demands, radiologists face growing workload pressures, often resulting in delays and reduced diagnostic efficiency. Recent advances in artificial intelligence (AI) have introduced tools...
Artificial Intelligence for Ischemic Stroke Detection in Non-contrast CT: A Systematic Review and Meta-analysis [0.03%]
基于非对比CT的急性脑梗死人工智能检测系统：系统回顾和元分析
Wenzhuo Shen,Jihong Peng,Jie Lu
Wenzhuo Shen
Rationale and objective: We aim to conduct a systematic review and meta-analysis to objectively assess the diagnostic accuracy of artificial intelligence (AI) models for detecting ischemic stroke (IS) in non-contrast CT (...
A Novel Diagnostic Algorithm for Subcentimeter Hepatocellular Carcinoma Utilizing Gd-EOB-DTPA-Enhanced MRI: Multicenter Development and Validation [0.03%]
一种利用Gd-EOB-DTPA增强MRI诊断亚厘米肝细胞癌的新型算法：多中心开发与验证
Jing Zhang,Zhiyang Lu,Haiping Shen et al.
Jing Zhang et al.
Objectives: To develop and validate a novel decision-tree algorithm using Gd-EOB-DTPA-enhanced MRI for diagnosing subcentimeter hepatocellular carcinoma (scHCC ≤1.0 cm), addressing limitations of current guidelines in de...
Authorship Activity of Program Directors of Radiology Residency Programs in the U.S [0.03%]
美国放射学住院医师项目主任的作者活动力
Ajay Malhotra,Dheeman Futela,Bhumija Grandhe et al.
Ajay Malhotra et al.
Rationale and objectives: Program Directors have responsibility for maintaining the academic focus and ensuring mentorship for the next generation of radiologists. The goal of this study was to identify the academic produ...