Standardizing attenuation across tube voltages and vertebral levels for opportunistic osteoporosis screening on low-dose chest CT [0.03%]
基于低剂量胸部CT的骨质疏松症筛查的椎体各段和管电压标准化衰减阈值研究
Youngjune Kim,Sehyun Hong,Choong Guen Chee et al.
Youngjune Kim et al.
Background: Opportunistic screening of osteoporosis on CT has emerged as a cost-effective strategy for bone health assessment. However, vertebral attenuation varies substantially with CT tube voltage and spinal level, lim...
Clinical benefits and current challenges of photon-counting detector CT in vascular imaging [0.03%]
光子计数检测CT在血管影像中的临床优势及当前挑战
Ahmed O El Sadaney,Felix E Diehn,Prabhakar Shantha Rajiah et al.
Ahmed O El Sadaney et al.
Photon-counting detector CT (PCD-CT) directly detects individual photons and measures their energies, enabling the acquisition of multi-energy data from a single x-ray source with higher spatial resolution, thereby allowing visualization of...
Correction to: Deep reinforcement learning for automatic anatomic CT landmark localization in Stanford Type B aortic dissection [0.03%]
Stanford B型主动脉夹层CT图像解剖标志的自动定位算法的研究纠正意见
[This corrects the article DOI: 10.1093/radadv/umag006.]. © The Author(s) 2026. Published by Oxford University Press on behalf of the Radiological Socie...
Published Erratum
Radiology advances. 2026 May 20;3(3):umag024. DOI:10.1093/radadv/umag024 2026
Yi Lin,Yuzhe Yang,George Shih et al.
Yi Lin et al.
Deep learning-based prediction of acute pancreatitis severity from abdominal CT with multicenter external validation [0.03%]
基于深度学习的急性胰腺炎严重程度腹部CT影像预测模型及多中心外部验证
Yanqi Xu,Brigitta Teutsch,Weicheng Zeng et al.
Yanqi Xu et al.
Background: Acute pancreatitis (AP) is a common gastrointestinal disease with a rising global incidence. While most cases are mild, severe AP (SAP) carries high mortality. Early and accurate severity prediction facilitate...
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array [0.03%]
基于深度学习降噪和相位校正的超高密度线圈阵列前列腺弥散加权成像优化
Sherry S Huang,Xinzeng Wang,Patricia Lan et al.
Sherry S Huang et al.
Background: MR diffusion-weighted imaging (DWI), especially at high b-value, is a key acquisition to help identify clinically significant prostate cancer; however, it suffers from low signal-to-noise ratio (SNR), high noi...
A 20-minute, free-running, whole-heart cardiac MRI to image myocardial injury following reperfused myocardial infarction: demonstration in a large animal model [0.03%]
一种用于评估心梗再灌注损伤的心肌MRI扫描技术：大型动物模型中的应用演示
Xinheng Zhang,Hsin-Jung Yang,Yuheng Huang et al.
Xinheng Zhang et al.
Background: Staging irreversible tissue injury in myocardial infarction (MI) enables risk assessment for post-MI major cardiovascular events. While cardiac MRI is the preferred modality for staging the severity of tissue ...
Pancreatic cancer diagnosis on unenhanced CT with deep learning for opportunistic diagnosis [0.03%]
基于无创CT的深度学习胰腺癌诊断用于机会性筛查
Po-Ting Chen,Dawei Chang,Yenjia Chen et al.
Po-Ting Chen et al.
Background: Pancreatic cancer (PC) is frequently missed on unenhanced CT examinations performed for unrelated clinical indications, where the pancreas is included incidentally and clinical suspicion is low. ...
Building trust and privacy in cross-border health data sharing for European cancer research [0.03%]
建立跨境健康数据共享的信任与隐私以促进欧洲癌症研究
Ricard Martínez Martínez,Ana de Marco,Ignacio Blanquer et al.
Ricard Martínez Martínez et al.
Data-driven research using artificial intelligence (AI) is transforming biomedical science, yet its application in medical imaging remains limited by fragmented datasets, heterogeneous legislation, and ethical uncertainties. The European Ca...