Citespace-based visualization analysis of the imaging research progress of gastric cancer_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

ZHANG Xiao ^1,2 , HUANG Wei ² ,  SONG Bin ¹

1. Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
2. Department of Radiology, People’s Hospital of Leshan City, Leshan, Sichuan 614000, P. R. China;

Corresponding author：

SONG Bin, Email: cjr.songbin@vip.163.com

Keywords：

gastric cancer; Citespace; imaging; visualization analysis

DOI：

10.7507/1007-9424.202012144

Video：

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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.

Citation： ZHANG Xiao, HUANG Wei, SONG Bin. Citespace-based visualization analysis of the imaging research progress of gastric cancer. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2021, 28(2): 256-259. doi: 10.7507/1007-9424.202012144 Copy

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4.	Amin MB, Edge SB, Greene FL, et al. AJCC Cancer Staging Manual. 8th ed. New York: Springer, 2017: 203-220.
5.	李杰. Citespace科技文本挖掘及可视化. 第2版, 北京: 首都经济贸易大学出版社, 2017: 77-136.
6.	黄子星, 李谋, 于浩鹏, 等. 基于CiteSpace的胰腺神经内分泌肿瘤影像研究的科学知识图谱分析. 中国普外基础与临床杂志, 2019, 26(1): 96-101.
7.	Chen C. Science MAPPING: a systematic review of the literature. J Data Inf Sci, 2017, 2(2): 1-40.
8.	Sherman RE, Anderson SA, Dal Pan GJ, et al. Real-world evidence-what is it and what can it tell us? N Engl J Med, 2016, 375(23): 2293-2297.
9.	陈心足, 胡建昆. 胃癌规范化诊疗进展. 华西医学, 2018, 33(4): 379-384.
10.	季福建, 房学东, 姜俊男, 等. 胃癌多学科综合治疗进展. 中华消化外科杂志, 2016, 15(3): 299-302.
11.	何文琪, 伍兵. 胃癌术前cTN分期的影像研究进展. 国际医学放射学杂志, 2019, 42(1): 76-80.
12.	刘丹, 伍兵. 胃癌影像学的研究进展. 中国普外基础与临床杂志, 2018, 25(9): 1124-1129.
13.	Horiuchi Y, Aoyama K, Tokai Y, et al. Convolutional neural network for differentiating gastric cancer from gastritis using magnified endoscopy with narrow band imaging. Dig Dis Sci, 2020, 65(5): 1355-1363.
14.	Huang Z, Liu D, Chen X, et al. Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant). Medicine (Baltimore), 2020, 99(8): e19157.

1. Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2018, 68(6): 394-424.
2. 郑荣寿, 孙可欣, 张思维, 等. 2015年中国恶性肿瘤流行情况分析. 中华肿瘤杂志, 2019, 41(1): 19-28.
3. 中华人民共和国国家卫生健康委员会医政医管局胃癌诊疗规范 (2018年版). 国卫办医函〔2018〕1125号.
4. Amin MB, Edge SB, Greene FL, et al. AJCC Cancer Staging Manual. 8th ed. New York: Springer, 2017: 203-220.
5. 李杰. Citespace科技文本挖掘及可视化. 第2版, 北京: 首都经济贸易大学出版社, 2017: 77-136.
6. 黄子星, 李谋, 于浩鹏, 等. 基于CiteSpace的胰腺神经内分泌肿瘤影像研究的科学知识图谱分析. 中国普外基础与临床杂志, 2019, 26(1): 96-101.
7. Chen C. Science MAPPING: a systematic review of the literature. J Data Inf Sci, 2017, 2(2): 1-40.
8. Sherman RE, Anderson SA, Dal Pan GJ, et al. Real-world evidence-what is it and what can it tell us? N Engl J Med, 2016, 375(23): 2293-2297.
9. 陈心足, 胡建昆. 胃癌规范化诊疗进展. 华西医学, 2018, 33(4): 379-384.
10. 季福建, 房学东, 姜俊男, 等. 胃癌多学科综合治疗进展. 中华消化外科杂志, 2016, 15(3): 299-302.
11. 何文琪, 伍兵. 胃癌术前cTN分期的影像研究进展. 国际医学放射学杂志, 2019, 42(1): 76-80.
12. 刘丹, 伍兵. 胃癌影像学的研究进展. 中国普外基础与临床杂志, 2018, 25(9): 1124-1129.
13. Horiuchi Y, Aoyama K, Tokai Y, et al. Convolutional neural network for differentiating gastric cancer from gastritis using magnified endoscopy with narrow band imaging. Dig Dis Sci, 2020, 65(5): 1355-1363.
14. Huang Z, Liu D, Chen X, et al. Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant). Medicine (Baltimore), 2020, 99(8): e19157.

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

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