Systemic Inflammation Response Index May Be Associated with Aneurysmal Wall Enhancement and Overall Poor Outcomes in Patients with Intracranial Fusiform Aneurysms [0.03%]
系统性炎症反应指数与颅内梭形动脉瘤壁强化及不良结局的关系
Kaijiang Kang,Fei Peng,Chuanying Wang et al.
Kaijiang Kang et al.
Rationale and objectives: Inflammation plays a crucial role in the pathophysiology of intracranial aneurysms (IAs). Our previous research demonstrated that blood inflammatory indices can serve as predictors of aneurysmal ...
Corrigendum to 'Predictions of Response in Non-small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors Using Clinical Data, Deep Learning, and Radiomics' [Acad Radiol 33 (2026) 236-254] [0.03%]
“基于临床数据、深度学习和影像组学预测免疫检查点抑制剂治疗非小细胞肺癌患者应答”的勘误说明（放射学，第33卷，2026年，第236-254页）
Chunxiao Wang,Yuxin Li,Yang Ji et al.
Chunxiao Wang et al.
Published Erratum
Academic radiology. 2026 Jan 22:S1076-6332(26)00012-7. DOI:10.1016/j.acra.2026.01.012 2026
Investigation of the Correlation between Different DCE-MRI Enhancement Patterns and Lymphovascular Invasion in Invasive Breast Cancer [0.03%]
探究不同动态对比增强磁共振成像强化模式与侵袭性乳腺癌淋巴管血管浸润的相关性
Shiqi Guo,Boning Zhou,Jiahong Sun et al.
Shiqi Guo et al.
Rationale and objectives: This study aims to compare the breast magnetic resonance imaging (MRI) features and clinicopathological characteristics of invasive breast cancer patients with different enhancement patterns, and...
Hypergraph-Based Multimodal MRI Reveals Thalamus-Mediated Network Dyscoordination Underlying Motor Impairments in Parkinson's Disease [0.03%]
基于超图的多模态MRI揭示了帕金森病运动障碍下丘脑介导的网络失调
Meng-Jie Li,Chi Ma,Peng Lun et al.
Meng-Jie Li et al.
Purpose: Leveraging hypergraph theory and spatio-temporal graph convolutional network (ST-GCN), this study uses multimodal MRI to elucidate thalamus-mediated high-order network dyscoordination of motor impairment in Parki...
Node-RADS on Preoperative MRI Predicts Lymph Node-Driven Survival in Treatment-Naïve Rectal Cancer Patients: A SHAP-Interpretable Nomogram for Risk Stratification [0.03%]
基于术前MRI的节点风险分层系统预测初治直肠癌患者的淋巴结驱动生存：一种可解释的风险分层列线图
Zijian Zhuang,Li Jiang,Kang Sun et al.
Zijian Zhuang et al.
RATIONALE AND OBJECTIVES: To evaluate the diagnostic and prognostic utility of the Node Reporting and Data System (Node-RADS) using preoperative MRI. Methods: ...
Habitat-Based Radiomics on Dual-Energy CT for Preoperative Assessment of Invasiveness in Lung Adenocarcinoma with Ground-Glass Nodules [0.03%]
基于双重能量CT的放射组学在磨玻璃结节型肺腺癌侵袭性术前评估中的应用
Daoyu Yang,Shaolei Kang,Fajin Lv et al.
Daoyu Yang et al.
Rationale and objectives: This study aimed to preoperatively predict the invasiveness of ground-glass nodules (GGNs) using habitat-based radiomics derived from dual-energy computed tomography (CT). ...
Preoperative Prediction of Perineural Invasion and Survival in Gastric Cancer Using Extracellular Volume Fraction and Dual-Energy CT Quantitative Parameters: A Dual-Center Study [0.03%]
基于细胞外体积分数及双能量CT定量参数预测胃癌术前神经侵犯和生存的多中心研究
Mengyue Zhang,Mimi Mao,Haipeng Gong et al.
Mengyue Zhang et al.
Rationale and objectives: This study aimed to develop a nomogram integrating extracellular volume fraction (ECV), dual-energy CT (DECT) quantitative parameters, and morphological features to predict perineural invasion (P...
Patient Perceptions of the Use of Artificial Intelligence in Radiology: A Scoping Review [0.03%]
放射学中人工智能应用的患者感知：系统评价
Shreya Udupa,Ojasvi Sharma,Sonali Sharma et al.
Shreya Udupa et al.
Introduction: Artificial intelligence (AI) is increasingly being used to support diagnostic accuracy and efficiency in radiology. While its technical potential is well recognized, little is known about how patients percei...
Improvement of Tumor Hypoperfusion and Hypoxia via Low-intensity Ultrasound-stimulated Microbubbles Combined with Alprostadil [0.03%]
低强度超声联合前列腺素E1微泡改善肿瘤低灌注和乏氧
Lian Lu,Jinping Wang,Huan Gong et al.
Lian Lu et al.
Rationale and objectives: Hypoperfusion and related hypoxia are critical factors that contribute to therapeutic resistance in solid tumors. Ultrasound-stimulated microbubble (USMB) has been approved to enhance tumor perfu...
In Vivo Quantification of Relaxation Times of Abdominal Tissues at 5.0 T MRI: A Preliminary Study in Healthy Volunteers [0.03%]
健康志愿者腹部组织5.0特斯拉磁共振成像的弛豫时间量化初步研究
Xue Dong,Huai Yang,Hui Xu et al.
Xue Dong et al.
Objectives: To establish normative T1 and T2 relaxation times for the liver, pancreas, and kidneys at 5.0 T MRI, providing reference data for imaging parameter optimization and quantitative diagnosis. ...