Deep Neural Patchworks Predict Renal Imaging Biomarkers From Non-contrast MRI via Knowledge Transfer From Arterial-Phase Contrast-Enhanced MRI [0.03%]
基于知识迁移的非对比度MRI预测肾成像生物标志物的深度神经补丁模型
Kai F Kästingschäfer,Anna Fink,Stephan Rau et al.
Kai F Kästingschäfer et al.
Rationale and objectives: Contrast-enhanced (CE) MRI provides clear corticomedullary contrast for renal compartment delineation but may be contraindicated or undesirable in routine practice. We aimed to enable automated e...
High FDG Uptake in the Non-cancerous Lung Predicts Immune-Related Adverse Events and Poor Prognosis in Patients with Lung Cancer Treated with Immune Checkpoint Inhibitors [0.03%]
肺癌患者接受免疫检查点抑制剂治疗时，非癌性肺的高FDG摄取预测免疫相关不良事件和预后不良
Motohiko Yamazaki,Satoshi Watanabe,Masaki Tominaga et al.
Motohiko Yamazaki et al.
Rationale and objectives: Immune checkpoint inhibitors (ICIs) have improved survival in non-small cell lung cancer (NSCLC); however, predicting immune-related adverse events (irAEs) remains a clinical challenge. We previo...
PT-CycleGAN: Progressive Transformer Based CycleGAN for 3 T to 7 T Like MRI Synthesis [0.03%]
基于渐进式变压器的CycleGAN：用于合成类似7T的3T磁共振图像
Franklin Burhagohain,Shovan Barma
Franklin Burhagohain
Rationale and objectives: Existing Generative Adversarial Networks (GANs) for 3 T to 7 T MRI synthesis often suffer from structural instability and an inability to preserve fine grained anatomical textures due to rigid ar...
The 2025 National Institute of Health Budget Cuts and the Future of Radiology Innovation: Implications for the Physician-Scientist Pipeline and Research Paradigms [0.03%]
2025年国立卫生研究院预算削减与放射学创新的未来：对医师科学家培养渠道和研究范式的启示
Ali Rashidi,Patricia Balthazar,Elizabeth A Krupinski
Ali Rashidi
The United States National Institutes of Health (NIH) serves as the cornerstone of biomedical research funding. Yet, radiology departments receive a disproportionately small share of this support, concentrated among senior investigators at ...
Tara Catanzano,Nupur Verma,Tan Mohammed et al.
Tara Catanzano et al.
Newly practicing early career radiologists face significant challenges as they onboard into their first attending role. One of the most difficult challenges is often aligning their expectations of their roles and responsibilities in the wor...
Optimization of Multiparametric MRI Sequence Combinations for Early Detection of Chronic Kidney Disease [0.03%]
用于早期检测慢性肾脏疾病的多参数MRI序列组合优化
Zhenni Liu,Yunan Gong,Zhonglin Liu et al.
Zhenni Liu et al.
Rationale and objectives: To evaluate renal multiparametric MRI sequence combinations for early chronic kidney disease (CKD) detection and identify an approach balancing performance and clinical feasibility. ...
A Fusion-based Radiomics Approach Combining Tumor, Peritumoral, and Habitat Features for Predicting Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma [0.03%]
结合肿瘤、瘤周和微环境特征的融合型影像组学方法预测IA期肺腺癌脏层胸膜浸润
Zhenjing Chen,Xueyao Lin,Kaihua Lou et al.
Zhenjing Chen et al.
Rationale and objectives: Visceral pleural invasion (VPI) is a critical prognostic factor in early-stage lung adenocarcinoma (LUAD). This study aimed to develop a multi-scale radiomics model integrating intratumoral, peri...
Preoperative Noninvasive Prediction of Tertiary Lymphoid Structures in Rectal Cancer Using MRI Radiomics and Clinical-Inflammatory Biomarkers: An Interpretable Model with SHAP and LIME [0.03%]
基于MRI影像组学和临床炎症标志物的直肠癌术前非侵入性预测肿瘤三级淋巴样结构：使用SHAP和LIME可解释模型
Fan Zhang,Rong Li,Ling Wang et al.
Fan Zhang et al.
Rationale and objectives: Noninvasive preoperative assessment of tertiary lymphoid structures (TLSs) status is crucial for immunotherapy in rectal cancer, yet current methods remain invasive. This study aimed to develop a...
Reliability of Orbital MRI-Based Proptosis Measurement: A Multicenter Prospective Study [0.03%]
基于轨道MRI的突眼测量可靠性的多中心前瞻性研究
Xinyi Gou,Cenyang Wu,Zhengyong Huang et al.
Xinyi Gou et al.
Rationale and objectives: Accurate proptosis measurement change is critical for managing thyroid-associated ophthalmopathy (TAO), yet traditional Hertel exophthalmometry suffers from inter-observer inconsistency. This stu...
Effect of CT Acquisition Parameters on RetinaNet-Based Lung Nodule Detection: A Physics-Guided Validation Study Across Dose, Slice Thickness, and Reconstruction Kernel [0.03%]
基于CT采集参数的肺结节检测的RetinaNet效果：贯穿剂量、层厚和重建内核的物理引导验证研究
Daniel Soliman
Daniel Soliman
Rationale and objectives: Computed tomography acquisition parameters, including dose level, slice thickness, and reconstruction kernel, vary substantially across clinical sites, yet artificial intelligence (AI)-assisted l...