放射学:心胸成像发表了心脏领域的新研究和技术发展,胸廓,和血管成像。该杂志在2023年发表了许多创新研究,自2019年创刊以来首次获得影响因子,影响因子为7.0。当前的评论文章,由放射学:心胸成像培训编辑委员会领导,重点介绍了2022年11月至2023年10月期间在该杂志上发表的最具影响力的文章。该综述涵盖了冠状动脉CT的各个方面,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,和卫生服务研究。主要亮点包括光子计数探测器CT减少造影剂体积的潜力,PET/MRI联合在心脏结节病评估中的应用,磁共振成像左心房晚钆增强对预测房颤发生的预后价值,人工智能工具的效用,以优化意外肺栓塞的检测,以及心脏CT医学术语的标准化。正在进行的研究和未来的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,以及越来越多的人意识到需要改善成像中的环境可持续性。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,卫生服务研究©RSNA,2024.
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.