Complex Lymphatic Anomalies: A Comprehensive Review of Imaging Features and Diagnostic Considerations [0.03%]
复杂性淋巴管畸形的影像学特征及诊断分析综述
Michael Pratt,Jeanne Dillenbeck,Sheena Pimpalwar et al.
Michael Pratt et al.
Within the overarching diagnosis of lymphatic anomalies, the subgroup of complex lymphatic anomalies (CLAs) has classically been comprised of 4 entities which are characterized by multisystem involvement, structural complexity, and function...
Systemic Venous Anomalies [0.03%]
系统静脉畸形
Ankita Chauhan,Stephanie El Omeiri,Joice Prodigios et al.
Ankita Chauhan et al.
The persistence or regression of venous segments of the primitive venous network during embryologic development can cause developmental venous anomalies. Systemic venous anomalies and variants are rare, often found incidentally, and usually...
Wesley Jong,Sydney Yee,Rohan Srivastava et al.
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Quantitative Imaging Biomarkers in Lung Cancer: Current Trends and Future Directions [0.03%]
肺癌定量影像生物标志物:现状与展望
Joice Prodigios,Ronak Kundalia,Amanda Acevedo et al.
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Ethical, Regulatory, and Practical Challenges in Artificial Intelligence-Driven Chest Imaging [0.03%]
基于人工智能的胸部影像的伦理、监管和实际挑战
Juliana Barreto Caldas de Lima,Ian Griffin,Jessica Shapiro Gemmell et al.
Juliana Barreto Caldas de Lima et al.
Artificial intelligence (AI) enhances the practice of chest imaging by improving diagnostic accuracy, streamlining workflows, and facilitating personalized patient care. As a powerful tool, AI augments the expertise of radiologists, enablin...
Satvik Tripathi,Rupal OQuinn,Tessa S Cook
Satvik Tripathi
Artificial intelligence (AI) has transformed medical imaging across disciplines. In cardiothoracic imaging, AI has the potential to impact all modalities, including chest radiography, echocardiography, computed tomography, magnetic resonanc...
Radiogenomics in Lung Cancer-Linking Imaging Phenotypes to Genetic Profiles [0.03%]
肺癌放射组学研究——影像表型与基因图谱之间的联系
Hiren J Mehta,Michael DiRico,Karthik Vijayan
Hiren J Mehta
Oligometastatic and Oligoprogressive Disease in Lung Cancer: Concepts for Radiologists [0.03%]
寡转移和寡进展在肺癌中的概念——放射科医生应该了解的内容
Palmi Shah,Ramya S Gaddikeri,Maham Jehangir et al.
Palmi Shah et al.
Challenges in Imaging Pulmonary Nodules: Differentiating Benign from Malignant Lesions [0.03%]
肺结节影像诊断的挑战:良性与恶性病变的鉴别诊断
Samuel R Friedlander,Rocio Perez-Johnston,Markus Y Wu
Samuel R Friedlander
Nupur Verma,Matheus Zanon,Giovanni Torri et al.
Nupur Verma et al.