放射学:心胸成像 2023年的亮点
Gilberto J Aquino1, Domenico Mastrodicasa1, Samer Alabed1
1From the Department of Radiology, SUNY Upstate Medical University, 750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington School of Medicine, Seattle, Wash (D.M.); Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health and Care Research, Sheffield Biomedical Research Centre, Sheffield, United Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Sichuan, China (L.W.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.).
这篇评论强调了从放射学:心胸成像中心脏,胸腔和血管成像的关键进展. 主要发现包括冠状动脉CT,PET/MRI和AI应用中的创新,以改善患者的治疗结果.
科学领域:
- 心血管成像 - 心血管成像
- 胸部成像 胸部成像
- 血管成像 血管成像
背景情况:
- 放射学:心胸成像自2019年以来发表了新的研究.
- 该期刊在2023年实现了7.0影响因子.
- 本综述涵盖了从2022年11月到2023年10月的有影响力的文章.
研究的目的:
- 为了回顾2022年11月至2023年10月期间发表在"放射学:心胸成像"杂志上最具影响力的文章.
- 突出各种成像模式和研究领域的进展.
- 确定该领域正在进行的研究和未来的方向.
主要方法:
- 发表在"放射学:心胸成像"杂志上的精选文章的综述.
- 文章按成像模式和研究领域进行分类,包括冠状动脉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.
主要成果:
- 光子计数探测器CT显示了减少对比介质体积的潜力.
- 组合PET/MRI对于评估心脏沙尔科毒症非常有用.
- 在MRI上左心房的晚期加多增强预测心房动.
- 人工智能工具可以优化偶然的肺栓塞检测.
- 对心脏CT医学术语的标准化正在取得进展.
结论:
- 审查的文章表明,在心脏,胸部和血管成像方面取得了重大进展.
- 未来的研究将侧重于新型PET标记剂,人工智能部署和成像中的环境可持续性.
- 该领域正在迅速发展,随着技术的进步和人工智能集成.
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