基于知识图谱的影像组学研究可视化分析

目的：使用知识图谱的方法对影像组学领域文献分布、研究力量分布和研究热点进行分析，为相关研究提供参考。方法：下载Web of Science数据库中影像组学文献题录。分别使用BICOM 2.0.1和SATI 3.2对发表年份、期刊、作者、关键词、科研机构数据进行清理和频次统计；使用CiteSpace V4.4.R1构建国家(地区)合作网络知识图谱；使用Ucinet 6构建核心著者、核心科研机构的合作网络知识图谱；使用gCLUTO 1.0构建高频关键词双聚类图。结果：共检索到700篇文献，自2012年开始论文发表数量逐年快速增长。在该领域领先的主要有美国、中国、荷兰等国家，形成5个重要科研机构合作群和10个重要著者合作群。根据高频关键词双聚类分析发现8个研究热点方向。结论：影像组学作为一个新兴的研究方向处于快速发展阶段，越来越多的国家、科研机构及多学科背景科研人员投入到相关研究中，并不断有新的名词、新的方法出现在该领域。

Visualization analysis for radiomics research based on knowledge mapping

Objective: 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.