Bibliometric and visualization analysis of current status and hotspots of pancreatic cancer imaging research_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

ZHAO Shuang , SONG Bin ,  HUANG Zixing

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

HUANG Zixing, Email: zixinghuang@hotmail.com

Keywords：

pancreatic cancer; imaging; bibliometric analysis; CiteSpace software

DOI：

10.7507/1007-9424.202105040

Video：

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Objective To investigative current status and hotspot issues of pancreatic cancer imaging research.Methods The literatures focusing on pancreatic cancer and published from 2001 to 2020 were retrieved from the core database of Web of Science. The quantitative analysis of literatures was then conducted by using the CiteSpace software based on the bibliometric method. The research trend was then summarized systematically and the potential research fronts and focuses were explored.Results A total of 2111 articles in the field of pancreatic cancer imaging research were retrieved. The clustering of co-citation of pancreatic cancer included vascular resection, irreversible electroporation, autoimmune pancreatitis, sporadic pancreatic cancer, sarcopenia, pancreas, stereotactic body radiation therapy, metastatic pancreatic cancer, familial pancreatic cancer, abdominal ultrasonography, fibroblast, early diagnosis, time trends in survival, radiomics, pancreatitis, gemcitabine, concurrent chemoradiotherapy, adjuvant chemotherapy, and microbubbles. The burst keywords in the field of pancreatic cancer after 2016 included FOLFIRINOX, skeletal muscle, sarcopenia, and texture analysis. The hot keywords clustering had prognosis, fine needle aspiration, positron emission tomography, vascular invasion, angiogenesis, unresectable, liver transplant, extend pancreatectomy, transplantation, paclitaxel, metastatic colorectal cancer, colorectal cancer, microsatellite stable, radiomics, hospital volume, occult metastasis, risk factor.Conclusion It might be the trend of imaging research to study the prognosis, risk factors, and quantitative sarcopenia of pancreatic cancer by using radiomics.

Citation： ZHAO Shuang, SONG Bin, HUANG Zixing. Bibliometric and visualization analysis of current status and hotspots of pancreatic cancer imaging research. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2021, 28(7): 945-951. doi: 10.7507/1007-9424.202105040 Copy

1.	Khalaf N, El-Serag HB, Abrams HR, et al. Burden of pancreatic cancer: From epidemiology to practice. Clin Gastroenterol Hepatol, 2021, 19(5): 876-884.
2.	Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2021, 71(3): 209-249.
3.	Ferlay J, Partensky C, Bray F. More deaths from pancreatic cancer than breast cancer in the EU by 2017. Acta Oncol, 2016, 55(9-10): 1158-1160.
4.	US Preventive Services Task Force, Owens DK, Davidson KW, et al. Screening for pancreatic cancer: US Preventive Services Task Force Reaffirmation Recommendation Statement. JAMA, 2019, 322(5): 438-444.
5.	Okusaka T, Nakamura M, Yoshida M, et al. Clinical practice guidelines for pancreatic cancer 2019 from the Japan Pancreas Society: A synopsis. Pancreas, 2020, 49(3): 326-335.
6.	Liu XJ, Yang T, Shi X, et al. Systematic appraisal of guidelines for the diagnosis of pancreatic cancer. Gland Surg, 2021, 10(4): 1487-1498.
7.	中国医师协会肿瘤医师分会, 中国医疗保健国际交流促进会胰腺疾病专家委员会, 中国医药教育协会腹部肿瘤专家委员会. 中国胰腺癌多学科综合治疗模式专家共识(2020 版). 中华肿瘤杂志, 2020, 42(7): 531-536.
8.	中国抗癌协会胰腺癌专业委员会. 中国胰腺癌综合诊治指南(2020 版). 中华外科杂志, 2021, 59(2): 81-100.
9.	中华医学会外科学分会胰腺外科学组. 中国胰腺癌新辅助治疗指南(2020 版). 协和医学杂志, 2020, 11(5): 547-558.
10.	黄子星, 李谋, 于浩鹏, 等. CT 图像纹理分析鉴别不典型胰腺实性假乳头状肿瘤与胰腺导管腺癌的初步研究. 中国普外基础与临床杂志, 2018, 25(10): 1249-1253.
11.	黄子星, 于浩鹏, 李谋, 等. CT 特征鉴别非富血供胰腺神经内分泌肿瘤与胰腺导管腺癌的初步研究. 中国普外基础与临床杂志, 2018, 25(11): 1375-1379.
12.	张永嫦, 于浩鹏, 李谋, 等. CT 图像纹理分析鉴别乏血供胰腺神经内分泌肿瘤与胰腺导管腺癌. 中国普外基础与临床杂志, 2018, 25(6): 748-753.
13.	杨小琴, 金成兵. 不可切除胰腺癌微无创治疗的研究进展. 中国癌症防治杂志, 2021, 13(1): 105-110.
14.	唐榕, 施思, 张波, 等. 2020 年胰腺癌研究及诊疗新进展. 中国癌症杂志, 2021, 31(1): 1-10.
15.	朱惠云, 李敏. 胰腺癌的治疗进展. 中华胰腺病杂志, 2020, 20(6): 409-411.
16.	白雪莉, 李想, 梁廷波. 胰腺癌新辅助治疗临床研究进展. 中华肝胆外科杂志, 2020, 26(9): 645-650.
17.	黄子星, 张彤, 胡富碧, 等. 腹部影像助力从“基于人群”到更“个性化”的肿瘤诊疗决策—对美国癌症联合委员会第8版癌症分期系统的影像学更新内容解读. 放射学实践, 2017, 32(9): 890-896.
18.	黄子星, 宋彬. 人工智能在腹部影像的研究现状与展望. 放射学实践, 2018, 33(11): 1216-1220.
19.	马丽娅, 李佳丽, 李小明. RSNA2019 的新技术和新设备简介. 放射学实践, 2020, 35(1): 19.
20.	马丽娅, 邹显伦, 竺笛, 等. RSNA2019 腹部影像学. 放射学实践, 2020, 35(2): 142-147.
21.	姚义好, 李娟, 石晶晶, 等. RSNA2019 人工智能影像学. 放射学实践, 2020, 35(5): 575-582.
22.	周铱然, 吴迪, 方纪成, 等. RSNA2020 医学影像技术研究进展. 放射学实践, 2021, 36(3): 315-325.
23.	彭洋, 杨阳, 孟晓岩, 等. RSNA2020 腹部影像学. 放射学实践, 2021, 36(3): 310-315.
24.	Zhang Y, Liu J, Li F, et al. Contrast-enhanced computed tomography does not provide more information about sarcopenia than unenhanced computed tomography in patients with pancreatic cancer. Contrast Media Mol Imaging, 2021, 2021: 5546030.
25.	Wu CH, Chang MC, Lyadov VK, et al. Comparing Western and Eastern criteria for sarcopenia and their association with survival in patients with pancreatic cancer. Clin Nutr, 2019, 38(2): 862-869.
26.	Rollins KE, Tewari N, Ackner A, et al. The impact of sarcopenia and myosteatosis on outcomes of unresectable pancreatic cancer or distal cholangiocarcinoma. Clin Nutr, 2016, 35(5): 1103-1109.
27.	Kim IH, Choi MH, Lee IS, et al. Clinical significance of skeletal muscle density and sarcopenia in patients with pancreatic cancer undergoing first-line chemotherapy: a retrospective observational study. BMC Cancer, 2021, 21(1): 77.
28.	Peng YC, Wu CH, Tien YW, et al. Preoperative sarcopenia is associated with poor overall survival in pancreatic cancer patients following pancreaticoduodenectomy. Eur Radiol, 2021, 31(4): 2472-2481.
29.	Borrero R, Torres D, Valencia S. Sarcopenia and osteoporosis: A practical approach to obtaining valuable information with CT. AJR Am J Roentgenol, 2021, 216(5): W19.
30.	Yao L, Petrosyan A, Fuangfa P, et al. Diagnosing sarcopenia at the point of imaging care: analysis of clinical, functional, and opportunistic CT metrics. Skeletal Radiol, 2021, 50(3): 543-550.
31.	İlgen U, Özbaş B, Karataş A, et al. Diaphragmatic muscle ultrasonography and sarcopenia in older people. Aging Clin Exp Res, 2021 May 11. Online ahead of print.
32.	Agostini A, Borgheresi A, Bruno F, et al. New advances in CT imaging of pancreas diseases: a narrative review. Gland Surg, 2020, 9(6): 2283-2294.
33.	Sandrasegaran K, Lin Y, Asare-Sawiri M, et al. CT texture analysis of pancreatic cancer. Eur Radiol, 2019, 29(3): 1067-1073.
34.	Goyal H, Mann R, Gandhi Z, et al. Application of artificial intelligence in pancreaticobiliary diseases. Ther Adv Gastrointest Endosc, 2021, 14: 2631774521993059.
35.	Lambin P, Leijenaar RTH, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol, 2017, 14(12): 749-762.
36.	王敏, 宋彬, 黄子星, 等. 大数据时代的精准影像医学: 放射组学. 中国普外基础与临床杂志, 2016, 23(6): 752-755.
37.	杨采薇, 蒋涵羽, 刘曦娇, 等. 影像组学在胰腺肿瘤病变影像学评估中的研究进展. 放射学实践, 2019, 34(9): 963-968.

1. Khalaf N, El-Serag HB, Abrams HR, et al. Burden of pancreatic cancer: From epidemiology to practice. Clin Gastroenterol Hepatol, 2021, 19(5): 876-884.
2. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2021, 71(3): 209-249.
3. Ferlay J, Partensky C, Bray F. More deaths from pancreatic cancer than breast cancer in the EU by 2017. Acta Oncol, 2016, 55(9-10): 1158-1160.
4. US Preventive Services Task Force, Owens DK, Davidson KW, et al. Screening for pancreatic cancer: US Preventive Services Task Force Reaffirmation Recommendation Statement. JAMA, 2019, 322(5): 438-444.
5. Okusaka T, Nakamura M, Yoshida M, et al. Clinical practice guidelines for pancreatic cancer 2019 from the Japan Pancreas Society: A synopsis. Pancreas, 2020, 49(3): 326-335.
6. Liu XJ, Yang T, Shi X, et al. Systematic appraisal of guidelines for the diagnosis of pancreatic cancer. Gland Surg, 2021, 10(4): 1487-1498.
7. 中国医师协会肿瘤医师分会, 中国医疗保健国际交流促进会胰腺疾病专家委员会, 中国医药教育协会腹部肿瘤专家委员会. 中国胰腺癌多学科综合治疗模式专家共识(2020 版). 中华肿瘤杂志, 2020, 42(7): 531-536.
8. 中国抗癌协会胰腺癌专业委员会. 中国胰腺癌综合诊治指南(2020 版). 中华外科杂志, 2021, 59(2): 81-100.
9. 中华医学会外科学分会胰腺外科学组. 中国胰腺癌新辅助治疗指南(2020 版). 协和医学杂志, 2020, 11(5): 547-558.
10. 黄子星, 李谋, 于浩鹏, 等. CT 图像纹理分析鉴别不典型胰腺实性假乳头状肿瘤与胰腺导管腺癌的初步研究. 中国普外基础与临床杂志, 2018, 25(10): 1249-1253.
11. 黄子星, 于浩鹏, 李谋, 等. CT 特征鉴别非富血供胰腺神经内分泌肿瘤与胰腺导管腺癌的初步研究. 中国普外基础与临床杂志, 2018, 25(11): 1375-1379.
12. 张永嫦, 于浩鹏, 李谋, 等. CT 图像纹理分析鉴别乏血供胰腺神经内分泌肿瘤与胰腺导管腺癌. 中国普外基础与临床杂志, 2018, 25(6): 748-753.
13. 杨小琴, 金成兵. 不可切除胰腺癌微无创治疗的研究进展. 中国癌症防治杂志, 2021, 13(1): 105-110.
14. 唐榕, 施思, 张波, 等. 2020 年胰腺癌研究及诊疗新进展. 中国癌症杂志, 2021, 31(1): 1-10.
15. 朱惠云, 李敏. 胰腺癌的治疗进展. 中华胰腺病杂志, 2020, 20(6): 409-411.
16. 白雪莉, 李想, 梁廷波. 胰腺癌新辅助治疗临床研究进展. 中华肝胆外科杂志, 2020, 26(9): 645-650.
17. 黄子星, 张彤, 胡富碧, 等. 腹部影像助力从“基于人群”到更“个性化”的肿瘤诊疗决策—对美国癌症联合委员会第8版癌症分期系统的影像学更新内容解读. 放射学实践, 2017, 32(9): 890-896.
18. 黄子星, 宋彬. 人工智能在腹部影像的研究现状与展望. 放射学实践, 2018, 33(11): 1216-1220.
19. 马丽娅, 李佳丽, 李小明. RSNA2019 的新技术和新设备简介. 放射学实践, 2020, 35(1): 19.
20. 马丽娅, 邹显伦, 竺笛, 等. RSNA2019 腹部影像学. 放射学实践, 2020, 35(2): 142-147.
21. 姚义好, 李娟, 石晶晶, 等. RSNA2019 人工智能影像学. 放射学实践, 2020, 35(5): 575-582.
22. 周铱然, 吴迪, 方纪成, 等. RSNA2020 医学影像技术研究进展. 放射学实践, 2021, 36(3): 315-325.
23. 彭洋, 杨阳, 孟晓岩, 等. RSNA2020 腹部影像学. 放射学实践, 2021, 36(3): 310-315.
24. Zhang Y, Liu J, Li F, et al. Contrast-enhanced computed tomography does not provide more information about sarcopenia than unenhanced computed tomography in patients with pancreatic cancer. Contrast Media Mol Imaging, 2021, 2021: 5546030.
25. Wu CH, Chang MC, Lyadov VK, et al. Comparing Western and Eastern criteria for sarcopenia and their association with survival in patients with pancreatic cancer. Clin Nutr, 2019, 38(2): 862-869.
26. Rollins KE, Tewari N, Ackner A, et al. The impact of sarcopenia and myosteatosis on outcomes of unresectable pancreatic cancer or distal cholangiocarcinoma. Clin Nutr, 2016, 35(5): 1103-1109.
27. Kim IH, Choi MH, Lee IS, et al. Clinical significance of skeletal muscle density and sarcopenia in patients with pancreatic cancer undergoing first-line chemotherapy: a retrospective observational study. BMC Cancer, 2021, 21(1): 77.
28. Peng YC, Wu CH, Tien YW, et al. Preoperative sarcopenia is associated with poor overall survival in pancreatic cancer patients following pancreaticoduodenectomy. Eur Radiol, 2021, 31(4): 2472-2481.
29. Borrero R, Torres D, Valencia S. Sarcopenia and osteoporosis: A practical approach to obtaining valuable information with CT. AJR Am J Roentgenol, 2021, 216(5): W19.
30. Yao L, Petrosyan A, Fuangfa P, et al. Diagnosing sarcopenia at the point of imaging care: analysis of clinical, functional, and opportunistic CT metrics. Skeletal Radiol, 2021, 50(3): 543-550.
31. İlgen U, Özbaş B, Karataş A, et al. Diaphragmatic muscle ultrasonography and sarcopenia in older people. Aging Clin Exp Res, 2021 May 11. Online ahead of print.
32. Agostini A, Borgheresi A, Bruno F, et al. New advances in CT imaging of pancreas diseases: a narrative review. Gland Surg, 2020, 9(6): 2283-2294.
33. Sandrasegaran K, Lin Y, Asare-Sawiri M, et al. CT texture analysis of pancreatic cancer. Eur Radiol, 2019, 29(3): 1067-1073.
34. Goyal H, Mann R, Gandhi Z, et al. Application of artificial intelligence in pancreaticobiliary diseases. Ther Adv Gastrointest Endosc, 2021, 14: 2631774521993059.
35. Lambin P, Leijenaar RTH, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol, 2017, 14(12): 749-762.
36. 王敏, 宋彬, 黄子星, 等. 大数据时代的精准影像医学: 放射组学. 中国普外基础与临床杂志, 2016, 23(6): 752-755.
37. 杨采薇, 蒋涵羽, 刘曦娇, 等. 影像组学在胰腺肿瘤病变影像学评估中的研究进展. 放射学实践, 2019, 34(9): 963-968.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Bibliometric and visualization analysis of current status and hotspots of pancreatic cancer imaging research

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