RT - European Journal of Gynaecological Oncology ID - 10.22514/ejgo.2024.118 T1 - Global knowledge map of sentinel lymph node fluorescence mapping in endometrial carcinoma: a visual analysis A1 - Shibo Li A1 - Mengyao Zeng A1 - Xiaotong Zhao A1 - Weiqin Zheng A1 - Xiaowen Lin A1 - Sizheng Peng A1 - Tao Song A1 - Yuhui Sun K1 - Bibliometric; CiteSpace; Endometrial carcinoma; HistCite; SLN mapping; Vosviewer YR - 2024 SP - 72 AB -

Endometrial carcinoma (EC) is a prevalent gynecological malignancy in which sentinel lymph node (SLN) fluorescence mapping technique is utilized for staging the diseases and adjuvant treatment guidance. Herein, we aim to assess the research focus on global SLN mapping and determine potential new directions through bibliometric analysis. Articles related to SLN fluorescence mapping of EC from 2000 to October 2022 were searched from the Web of Science database, and research progress in this field was analyzed using bibliometric software HistCite Pro 2.1, VOSviewer 1.6.18 and CiteSpace 5.8.3Rc. A total of 197 related articles published from 2000 to 2022 were identified, and we observed that the number of publications had increased rapidly since 2015. The leading countries in this research area are the United States and Italy. The most influential institutions in this field with close collaboration are located in the United States, Italy and Switzerland. The journal with the highest number of high-quality publications is Gynecologic Oncology. In regards to publication authors, notable contributions have been made by Buda A, Papadia A and Rossi EC in this field. The most recent co-cited cluster label is “#notes”, and we found that the current research is focused on optimizing fluorescence mapping technology and improving detection accuracy. With the growing emphasis on lymph node (LN) metastasis, there has been increasing attention on SLN fluorescence mapping. Currently, research in this area primarily focuses on addressing controversial issues, such as investigating factors contributing to mapping failure and investigating ways to enhance the surgical algorithm for improved outcomes.