Luo Aijing, Yao Shanhu, Feng Zhichao, Rong Pengfei, Qin Yuexiang, Wang Wei
Third Xiangya Hospital, Central South University, Changsha 410013; Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha 410013, China.
Third Xiangya Hospital, Central South University, Changsha 410013; Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha 410013; Research Institute of Information Security and Big Data, Central South University, Changsha 410083, China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2019 Mar 28;44(3):233-243. doi: 10.11817/j.issn.1672-7347.2019.03.002.
To illustrate the literature distribution, research power distribution, and research hotspots in the radiomics research by using knowledge mapping analysis, and to provide reference for relevant researchers. Methods: Bibliographies from literature regarding radiomics in Web of Science database were downloaded. BICOM 2.0.1 and SATI 3.2 were used to clean and caculate the frequency of publication year, journal, author, key word, and research institution. CiteSpace V4.4.R1 was used to build the knowledge map of scientific research collaboration network between countries/regions.Ucinet 6 was used to build the knowledge map of scientific research collaboration network between core authors and institutions. gCLUTO 1.0 was applied to construct high-frequency keywords bi-clustering map. Results: A total of 700 literature was screened. Since 2012 the number of publications has been growing rapidly year by year. The United States, China, and Netherlands were leaders in this field. There were 5 major scientific research institution cooperative groups and 10 major author cooperative groups. Eight research hotspots were clustered by using high-frequency key word bi-clustering analysis. Conclusion: Radiomics is a new field and develops very fast. More and more countries, research institutions, and researchers with multidisciplinary background are going to participate in this filed. New terminology and new methods are going to appear in the field.
运用知识图谱分析方法阐述影像组学研究中的文献分布、研究力量分布及研究热点，为相关研究者提供参考。方法：下载Web of Science数据库中有关影像组学的文献书目。使用BICOM 2.0.1和SATI 3.2对文献进行清洗，并计算发表年份、期刊、作者、关键词及研究机构的频次。使用CiteSpace V4.4.R1绘制国家/地区间科研合作网络知识图谱。使用Ucinet 6绘制核心作者与机构间科研合作网络知识图谱。应用gCLUTO 1.0构建高频关键词双聚类图谱。结果：共筛选出700篇文献。自2012年以来，文献数量逐年快速增长。美国、中国和荷兰在该领域处于领先地位。存在5个主要科研机构合作团体和10个主要作者合作团体。通过高频关键词双聚类分析聚类出8个研究热点。结论：影像组学是一个新兴领域且发展迅速。越来越多的国家、研究机构以及具有多学科背景的研究者将参与到该领域。该领域将会出现新的术语和新的方法。
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