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.	中國醫師協會腫瘤醫師分會, 中國醫療保健國際交流促進會胰腺疾病專家委員會, 中國醫藥教育協會腹部腫瘤專家委員會. 中國胰腺癌多學科綜合治療模式專家共識(2020 版). 中華腫瘤雜志, 2020, 42(7): 531-536.
8.	中國抗癌協會胰腺癌專業委員會. 中國胰腺癌綜合診治指南(2020 版). 中華外科雜志, 2021, 59(2): 81-100.
9.	中華醫學會外科學分會胰腺外科學組. 中國胰腺癌新輔助治療指南(2020 版). 協和醫學雜志, 2020, 11(5): 547-558.
10.	黃子星, 李謀, 于浩鵬, 等. CT 圖像紋理分析鑒別不典型胰腺實性假乳頭狀腫瘤與胰腺導管腺癌的初步研究. 中國普外基礎與臨床雜志, 2018, 25(10): 1249-1253.
11.	黃子星, 于浩鵬, 李謀, 等. CT 特征鑒別非富血供胰腺神經內分泌腫瘤與胰腺導管腺癌的初步研究. 中國普外基礎與臨床雜志, 2018, 25(11): 1375-1379.
12.	張永嫦, 于浩鵬, 李謀, 等. CT 圖像紋理分析鑒別乏血供胰腺神經內分泌腫瘤與胰腺導管腺癌. 中國普外基礎與臨床雜志, 2018, 25(6): 748-753.
13.	楊小琴, 金成兵. 不可切除胰腺癌微無創治療的研究進展. 中國癌癥防治雜志, 2021, 13(1): 105-110.
14.	唐榕, 施思, 張波, 等. 2020 年胰腺癌研究及診療新進展. 中國癌癥雜志, 2021, 31(1): 1-10.
15.	朱惠云, 李敏. 胰腺癌的治療進展. 中華胰腺病雜志, 2020, 20(6): 409-411.
16.	白雪莉, 李想, 梁廷波. 胰腺癌新輔助治療臨床研究進展. 中華肝膽外科雜志, 2020, 26(9): 645-650.
17.	黃子星, 張彤, 胡富碧, 等. 腹部影像助力從“基于人群”到更“個性化”的腫瘤診療決策—對美國癌癥聯合委員會第8版癌癥分期系統的影像學更新內容解讀. 放射學實踐, 2017, 32(9): 890-896.
18.	黃子星, 宋彬. 人工智能在腹部影像的研究現狀與展望. 放射學實踐, 2018, 33(11): 1216-1220.
19.	馬麗婭, 李佳麗, 李小明. RSNA2019 的新技術和新設備簡介. 放射學實踐, 2020, 35(1): 19.
20.	馬麗婭, 鄒顯倫, 竺笛, 等. RSNA2019 腹部影像學. 放射學實踐, 2020, 35(2): 142-147.
21.	姚義好, 李娟, 石晶晶, 等. RSNA2019 人工智能影像學. 放射學實踐, 2020, 35(5): 575-582.
22.	周銥然, 吳迪, 方紀成, 等. RSNA2020 醫學影像技術研究進展. 放射學實踐, 2021, 36(3): 315-325.
23.	彭洋, 楊陽, 孟曉巖, 等. RSNA2020 腹部影像學. 放射學實踐, 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.	?lgen U, ?zba? B, Karata? 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, 黃子星, 等. 大數據時代的精準影像醫學: 放射組學. 中國普外基礎與臨床雜志, 2016, 23(6): 752-755.
37.	楊采薇, 蔣涵羽, 劉曦嬌, 等. 影像組學在胰腺腫瘤病變影像學評估中的研究進展. 放射學實踐, 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. 中國醫師協會腫瘤醫師分會, 中國醫療保健國際交流促進會胰腺疾病專家委員會, 中國醫藥教育協會腹部腫瘤專家委員會. 中國胰腺癌多學科綜合治療模式專家共識(2020 版). 中華腫瘤雜志, 2020, 42(7): 531-536.
8. 中國抗癌協會胰腺癌專業委員會. 中國胰腺癌綜合診治指南(2020 版). 中華外科雜志, 2021, 59(2): 81-100.
9. 中華醫學會外科學分會胰腺外科學組. 中國胰腺癌新輔助治療指南(2020 版). 協和醫學雜志, 2020, 11(5): 547-558.
10. 黃子星, 李謀, 于浩鵬, 等. CT 圖像紋理分析鑒別不典型胰腺實性假乳頭狀腫瘤與胰腺導管腺癌的初步研究. 中國普外基礎與臨床雜志, 2018, 25(10): 1249-1253.
11. 黃子星, 于浩鵬, 李謀, 等. CT 特征鑒別非富血供胰腺神經內分泌腫瘤與胰腺導管腺癌的初步研究. 中國普外基礎與臨床雜志, 2018, 25(11): 1375-1379.
12. 張永嫦, 于浩鵬, 李謀, 等. CT 圖像紋理分析鑒別乏血供胰腺神經內分泌腫瘤與胰腺導管腺癌. 中國普外基礎與臨床雜志, 2018, 25(6): 748-753.
13. 楊小琴, 金成兵. 不可切除胰腺癌微無創治療的研究進展. 中國癌癥防治雜志, 2021, 13(1): 105-110.
14. 唐榕, 施思, 張波, 等. 2020 年胰腺癌研究及診療新進展. 中國癌癥雜志, 2021, 31(1): 1-10.
15. 朱惠云, 李敏. 胰腺癌的治療進展. 中華胰腺病雜志, 2020, 20(6): 409-411.
16. 白雪莉, 李想, 梁廷波. 胰腺癌新輔助治療臨床研究進展. 中華肝膽外科雜志, 2020, 26(9): 645-650.
17. 黃子星, 張彤, 胡富碧, 等. 腹部影像助力從“基于人群”到更“個性化”的腫瘤診療決策—對美國癌癥聯合委員會第8版癌癥分期系統的影像學更新內容解讀. 放射學實踐, 2017, 32(9): 890-896.
18. 黃子星, 宋彬. 人工智能在腹部影像的研究現狀與展望. 放射學實踐, 2018, 33(11): 1216-1220.
19. 馬麗婭, 李佳麗, 李小明. RSNA2019 的新技術和新設備簡介. 放射學實踐, 2020, 35(1): 19.
20. 馬麗婭, 鄒顯倫, 竺笛, 等. RSNA2019 腹部影像學. 放射學實踐, 2020, 35(2): 142-147.
21. 姚義好, 李娟, 石晶晶, 等. RSNA2019 人工智能影像學. 放射學實踐, 2020, 35(5): 575-582.
22. 周銥然, 吳迪, 方紀成, 等. RSNA2020 醫學影像技術研究進展. 放射學實踐, 2021, 36(3): 315-325.
23. 彭洋, 楊陽, 孟曉巖, 等. RSNA2020 腹部影像學. 放射學實踐, 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. ?lgen U, ?zba? B, Karata? 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, 黃子星, 等. 大數據時代的精準影像醫學: 放射組學. 中國普外基礎與臨床雜志, 2016, 23(6): 752-755.
37. 楊采薇, 蔣涵羽, 劉曦嬌, 等. 影像組學在胰腺腫瘤病變影像學評估中的研究進展. 放射學實踐, 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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