放射学:2023 年心胸影像亮点。

IF 3.8 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Gilberto J Aquino, Domenico Mastrodicasa, Samer Alabed, Shady Abohashem, Lingyi Wen, Ritu R Gill, Dianna M E Bardo, Suhny Abbara, Kate Hanneman
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引用次数: 0

摘要

放射学Cardiothoracic Imaging》刊登心脏、胸部和血管成像领域的新研究和技术发展。该期刊在 2023 年期间发表了许多创新性研究,自 2019 年创刊以来首次实现了影响因子,影响因子为 7.0。本期综述文章由《放射学》领衔撰写:心胸影像》见习编委会牵头撰写的本期评论文章,重点介绍了2022年11月至2023年10月期间该杂志发表的最具影响力的文章。综述涵盖了冠状动脉 CT、光子计数探测器 CT、PET/MRI、心脏 MRI、先天性心脏病、血管成像、胸部成像、人工智能和医疗服务研究的各个方面。主要亮点包括光子计数探测器 CT 减少造影剂用量的潜力、联合 PET/MRI 在评估心脏肉样瘤病中的实用性、磁共振成像中左心房晚期钆增强在预测心房颤动事件中的预后价值、人工智能工具在优化偶然肺栓塞检测中的实用性以及心脏 CT 医学术语的标准化。正在进行的研究和未来发展方向包括评估用于评估心肌纤维化的新型 PET 示踪剂、在临床心血管成像工作流程中部署人工智能工具,以及提高成像中环境可持续性的意识。关键词冠状动脉 CT、光子计数探测器 CT、PET/MRI、心脏 MRI、先天性心脏病、血管成像、胸部成像、人工智能、健康服务研究 © RSNA, 2024.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radiology: Cardiothoracic Imaging Highlights 2023.

Radiology: Cardiothoracic Imaging publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. The journal published many innovative studies during 2023 and achieved an impact factor for the first time since its inaugural issue in 2019, with an impact factor of 7.0. The current review article, led by the Radiology: Cardiothoracic Imaging trainee editorial board, highlights the most impactful articles published in the journal between November 2022 and October 2023. The review encompasses various aspects of coronary CT, photon-counting detector CT, PET/MRI, cardiac MRI, congenital heart disease, vascular imaging, thoracic imaging, artificial intelligence, and health services research. Key highlights include the potential for photon-counting detector CT to reduce contrast media volumes, utility of combined PET/MRI in the evaluation of cardiac sarcoidosis, the prognostic value of left atrial late gadolinium enhancement at MRI in predicting incident atrial fibrillation, the utility of an artificial intelligence tool to optimize detection of incidental pulmonary embolism, and standardization of medical terminology for cardiac CT. Ongoing research and future directions include evaluation of novel PET tracers for assessment of myocardial fibrosis, deployment of AI tools in clinical cardiovascular imaging workflows, and growing awareness of the need to improve environmental sustainability in imaging. Keywords: Coronary CT, Photon-counting Detector CT, PET/MRI, Cardiac MRI, Congenital Heart Disease, Vascular Imaging, Thoracic Imaging, Artificial Intelligence, Health Services Research © RSNA, 2024.

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