Research Trends in Artificial Intelligence in Gastric Cancer Diagnosis and Treatment: a 20-year Bibliometric Analysis

doi:10.12114/j.issn.1007-9572.2022.0902

Abstract

Abstract:

Background

The number of researches on the application of artificial intelligence (AI) to diagnosis and treatment of gastric cancer has been increasing in recent years, but no researcher has systematically analyzed it using bibliometric analysis.

Objective

To analyze the researches on the application of AI to diagnosis and treatment of gastric cancer, explore the research hotspots and development trends from 2003 to 2022. Methods On November 06, 2022, Web of Science (WOS) core collection database was searched by computer to obtain studies on the application of AI to gastric cancer diagnosis and treatment, and VOSviewer 1.6.18 software was used to visualize and analyze inter-country (region), inter-institution, and inter-author collaborations, co-cited authors, keyword co-occurrences and overlays through bibliometric analysis. CiteSpace 5.7.R5 software was used to perform institutional betweenness centrality analysis, journal biplot overlay, cluster analysis of co-cited literature for the last 6 years, co-cited literature clustering timeline graph analysis and reference bursting analysis. Excel 2019 software was used to plot bar graphs of the volume of publications and descriptive analysis tables of countries (regions), institutions, journals, authors, cited references and keywords.

Results

A total of 703 papers were included, and the annual publication volume of the application of AI to gastric cancer diagnosis and treatment showed an overall increasing trend from 2003-2022, with a rapid increase after 2017 and the most rapid growth from 2019-2021. The top publishing country, institution and author was China, Chinese Academy of Sciences and TADA TOMOHIRO, respectively. The top three co-cited authors of BRAY FREDDIE, HIRASAWA TOSHIAKI and JIANG YUMING had made significant contributions to the field. Frontiers in Oncology was the journal with the highest publication volume, and Gastrointestinal Endoscopy was the most influential journal among the top ten journals for researches related to the application of AI to the diagnosis and treatment of gastric cancer. The citing journals mainly focused on the two fields of "Medicine, Medical, Clinical" and "Molecular, Biology, Immunology". And the cited journals mainly focused on the two fields of "Molecular, Biology, Genetics" and "Health, Nursing, Medicine". The top-ranked literature in terms of total citations titled Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. All keywords were classified into 4 categories based on keyword clustering results, including AI-assisted biological research of gastric cancer, AI-assisted endoscopic diagnosis of gastric cancer, AI-assisted pathological diagnosis of gastric cancer, and AI-assisted non-endoscopic treatment and prognosis prediction of gastric cancer. Deep learning, convolutional neural network, imaging histology, gastrointestinal endoscopy, pathology and immunotherapy were the current research hotspots.

Conclusion

AI has a broad application prospect in gastric cancer diagnosis and treatment, and more and more scholars are devoted to AI in gastric cancer diagnosis and treatment. Currently, AI has been widely studied in the biology, diagnosis, staging, efficacy assessment and prognosis prediction of gastric cancer. The results of this study can provide a reference for scholars engaged in research work related to AI and gastric cancer.

Key words: Gastric cancer, Artificial intelligence, Diagnosis, Treatment, Visual analysis, Bibliometrics, VOSviewer, CiteSpace

摘要：

背景

近年来有关将人工智能（AI）应用于胃癌诊治的研究日益增多，但目前尚未有研究者使用文献计量学分析法对其进行系统的分析。

目的

对将AI应用于胃癌诊治的相关研究进行分析，探讨2003—2022年研究的热点及发展趋势。

方法

于2022-11-06，计算机检索Web of Science（WOS）核心合集数据库，获取将AI应用于胃癌诊治的相关研究。通过文献计量学分析法，采用VOSviewer 1.6.18软件对国家（地区）间、机构间、作者间的合作情况、共被引作者情况、关键词共现与叠加情况进行可视化分析，采用CiteSpace 5.7.R5软件进行机构中介中心性分析、期刊双图叠加分析、近6年共被引文献聚类分析、共被引文献聚类时间线图分析及参考文献突现分析。采用Excel 2019软件绘制发文量条形图，以及国家（地区）、机构、期刊、作者、共被引作者、引用参考文献和关键词的描述性分析表格。

结果

共纳入703篇文献，2003—2022年将AI应用于胃癌诊治的相关研究年发文量整体呈上升趋势，2017年后年发文量快速增长，其中2019—2021年增长最为迅速。发文量最多的国家（地区）、机构和作者分别为中国、中国科学院和TADA TOMOHIRO。共被引次数排在前3的作者BRAY FREDDIE、HIRASAWA TOSHIAKI和JIANG YUMING对该领域做出了重要贡献。Frontiers in Oncology是发文量最多的期刊，Gastrointestinal Endoscopy是刊载将AI应用于胃癌诊治相关研究、发文量排在前10的期刊中最具影响力的期刊。施引期刊的所属领域主要集中在"Medicine，Medical，Clinical"（"药物，医学，临床"）、"Molecular，Biology，Immunology"（"分子，生物学，免疫学"）2个领域；被引期刊的所属领域主要集中在"Molecular，Biology，Genetics"（"分子，生物学，遗传学"）、"Health，Nursing，Medicine"（"健康，护理，药物"）2个领域。共被引次数排在首位的参考文献为Global cancer statistics 2018：GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries。根据关键词聚类结果可将所有关键词分为4类：AI辅助胃癌的生物学研究、AI辅助胃癌的内镜诊断、AI辅助胃癌的病理诊断和AI辅助胃癌的非内镜治疗及预后预测。深度学习、卷积神经网络、影像组学、消化道内镜、病理学和免疫治疗是目前的研究热点。

结论

AI在胃癌诊治中具有广阔的应用前景，越来越多的学者致力于开展胃癌诊治的AI研究。目前，AI在胃癌的生物学、诊断、分期、疗效评估和预后预测方面得到了广泛的研究。本研究结果可为从事AI与胃癌相关研究工作的学者提供参考。

关键词: 胃癌, 人工智能, 诊断, 治疗, 可视化分析, 文献计量学分析, VOSviewer, CiteSpace

DONG Na,CUI Ting,WANG Lulu, et al. Research Trends in Artificial Intelligence in Gastric Cancer Diagnosis and Treatment: a 20-year Bibliometric Analysis[J]. Chinese General Practice, 2024, 27(04): 493-501. DOI: 10.12114/j.issn.1007-9572.2022.0902.
董娜,崔婷,王露露等. 人工智能在胃癌诊治中的研究趋势：20年的文献计量学分析[J]. 中国全科医学, 2024, 27(04): 493-501. DOI: 10.12114/j.issn.1007-9572.2022.0902.

Figures/Tables 18

References 32

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排名	国家（地区）	发文量（篇）	占比（%）	总被引用次数（次）	平均被引用次数（次）	TLS
1	中国	366	50.063	4 371	11.94	1 272
2	美国	93	13.229	2 704	29.08	724
3	韩国	86	12.233	890	10.35	438
4	日本	79	11.238	2 232	28.25	905
5	德国	47	6.686	1 189	25.30	527
6	英国	29	4.125	839	28.93	322
7	印度	24	3.413	226	9.42	76
8	荷兰	17	2.418	869	51.12	259
9	意大利	17	2.418	252	14.82	227
10	巴基斯坦	17	2.418	165	9.71	124

排名	国家（地区）	发文量（篇）	占比（%）	总被引用次数（次）	平均被引用次数（次）	TLS
1	中国	366	50.063	4 371	11.94	1 272
2	美国	93	13.229	2 704	29.08	724
3	韩国	86	12.233	890	10.35	438
4	日本	79	11.238	2 232	28.25	905
5	德国	47	6.686	1 189	25.30	527
6	英国	29	4.125	839	28.93	322
7	印度	24	3.413	226	9.42	76
8	荷兰	17	2.418	869	51.12	259
9	意大利	17	2.418	252	14.82	227
10	巴基斯坦	17	2.418	165	9.71	124

排名	机构	国家（地区）	发文量（篇）	TLS	总被引用次数（次）
1	中国科学院	中国	32	392	492
2	中山大学	中国	25	283	532
3	上海交通大学	中国	25	122	434
4	中国科学技术大学	中国	24	337	369
5	武汉大学	中国	21	271	246
6	延世大学	韩国	20	106	205
7	南方医科大学	中国	19	176	293
8	南京医科大学	中国	19	96	117
9	成均馆大学	韩国	19	41	124
10	东京大学	日本	18	360	662

排名	机构	国家（地区）	发文量（篇）	TLS	总被引用次数（次）
1	中国科学院	中国	32	392	492
2	中山大学	中国	25	283	532
3	上海交通大学	中国	25	122	434
4	中国科学技术大学	中国	24	337	369
5	武汉大学	中国	21	271	246
6	延世大学	韩国	20	106	205
7	南方医科大学	中国	19	176	293
8	南京医科大学	中国	19	96	117
9	成均馆大学	韩国	19	41	124
10	东京大学	日本	18	360	662

排名	期刊	国家（地区）	发文量（篇）	影响因子（2022年）	Journal Citation Reports（JCR）分区（2022年）	被引用次数（次）
1	Frontiers in Oncology	瑞士	32	5.738	Q2	123
2	Scientific Reports	英国	21	4.996	Q2	265
3	Cancers	瑞士	17	6.575	Q1	28
4	Gastrointestinal Endoscopy	美国	15	10.396	Q1	413
5	World Journal of Gastroenterology	中国	15	5.374	Q2	98
6	Gastric Cancer	日本	14	7.701	Q1	519
7	Diagnostics	波兰	12	3.992	Q2	36
8	Frontiers in Genetics	瑞士	11	4.772	Q1	37
9	Computational and Mathematical Methods in Medicine	英国	10	2.809	Q2	49
10	Digestive Endoscopy	澳大利亚	9	6.337	Q1	166