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计算机断层扫描衍生的分数流逆流的科学绘图分析:2012年至2022年的文献统计综述
Xiaohan Zhang1, Xueping Zhu1, Yuchen Jiang1
1Department of Cardiovascular Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Quantitative imaging in medicine and surgery
|September 15, 2023
概括
计算机断层扫描衍生分流储备 (CT-FFR) 是诊断冠状动脉疾病的关键工具. 研究趋势显示,其重点是诊断性能,准确性和人工智能的集成,以改善CT-FFR值.
科学领域:
- 心脏病学 心脏病学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 生物医学工程 生物医学工程
背景情况:
- 计算机断层扫描衍生分流储备 (CT-FFR) 是一种用于评估冠状动脉样硬化心脏病的非侵入性成像技术.
- 它在3D冠状动脉模型上提供了形态和功能信息.
- 本研究旨在审查现有知识,并预测CT-FFR的未来研究方向.
研究的目的:
- 进行CT-FFR研究的文献分析.
- 确定关键的研究趋势,有影响力的出版物和地理分布.
- 预测CT-FFR技术的未来研究热点和前沿.
主要方法:
- 在Web of Science Core Collection (WoSCC) 数据库上进行了全面的文献搜索,检索了2012年至2022年间发表的1712篇文章.
- 使用CiteSpace 5.8.R3软件对收集的数据进行视觉分析.
- 图书统计指标和可视化技术被用来分析研究状况和预测热点.
主要成果:
- 美国,中国和荷兰在CT-FFR研究出版物方面是领先的国家.
- 在CT-FFR的研究是多学科的,涉及心脏病学,放射学,工程和计算机科学.
- 关键的研究热点包括诊断性能,准确性,预后价值,以及与其他成像方式进行比较研究. 新兴的前沿涉及人工智能和深度学习,以提高准确性.
结论:
- 这项研究提供了CT-FFR的第一个可视化文献计量分析.
- 它为当前的研究环境和该领域积累的知识提供了宝贵的见解.
- 这些发现指导了CT-FFR的未来研究工作和技术进步.
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