基于Citespace的胃癌影像研究进展的可视化分析

Citespace-based visualization analysis of the imaging research progress of gastric cancer

目的了解当前胃癌影像研究领域的现状及热点问题,为影像医师和胃肠外科医师把握胃癌影像研究的整体概貌提供参考。方法下载Web of Science数据库中2010–2020年期间发表的胃癌影像相关的文献条目,利用Citespace 5.7.R3软件进行相关的可视化分析。结果共检索、筛选出胃癌影像研究领域的文献726篇。2010–2020年期间各年发表的胃癌影像研究数量呈上升趋势,其中发表数量居前3位的国家依次为中国、日本及美国。胃癌影像共被引文献的聚类包括:共聚焦激光显微内镜、胃癌、胃黏膜肠上皮化生、手术前T分期、卷积神经网络、深度学习、进展期胃癌、体内分化、早期胃癌、手术治疗、胃周淋巴结、近邻算法等。近期研究领域热点词包括:风险因素、特征、深度学习、化学疗法和神经网络。结论早期胃癌的影像学诊断和人工智能的应用是该领域的研究热点。

Objective To realize the current status and hot issues in the field of gastric cancer imaging research,and to provide references for radiologists and gastrointestinal surgeons to grasp the overall overview of gastric cancer imaging.Method We downloaded the relevant literatures of gastric cancer imaging published in 2010–2020 in the Web of Science database,and used Citespace 5.7.R3 software for related visual analysis.Results A total of 726 articles in the field of gastric cancer imaging research were retrieved and screened.The number of gastric cancer imaging studies published from 2010 to 2020 was on the rise,with the top three countries published in China,Japan,and the United States.The clusters of co-cited literature on gastric cancer imaging:confocal laser microendoscopy,gastric cancer,gastric mucosal intestinal metaplasia,preoperative T staging,convolutional neural network,deep learning,advanced gastric cancer,in vivo differentiation,early stage gastric cancer,surgical treatment,perigastric lymph nodes,nearest neighbor algorithm,and so on.Hot words in recent research fields included:risk factors,characteristics,deep learning,chemotherapy,and neural networks.Conclusion The imaging diagnosis of early gastric cancer and the application of artificial intelligence are the research hotspots in this field.