Article ; Online: ICG-NIR-guided lymph node dissection during robotic subtotal gastrectomy for gastric cancer. A single-centre experience.
The international journal of medical robotics + computer assisted surgery : MRCAS
2021 Volume 17, Issue 2, Page(s) e2213
Abstract: Background: Near-infrared (NIR) fluorescence imaging with indocyanine green (ICG) allows intraoperative visualisation of the lymph nodes (LNs) draining the tumour.: Methods: We included in our study 20 patients who underwent robotic subtotal ... ...
Abstract | Background: Near-infrared (NIR) fluorescence imaging with indocyanine green (ICG) allows intraoperative visualisation of the lymph nodes (LNs) draining the tumour. Methods: We included in our study 20 patients who underwent robotic subtotal gastrectomy + D2 lymphadenectomy for gastric cancer. In 10 cases, intraoperative ICG-guided lymphography has been used (Group A). We compared the number of LNs retrieved with the use of NIR imaging and the number of LNs retrieved without the use of this technique (Group B, historical group). Results: No complications related to ICG injection or near-infrared imaging were observed. The mean number of overall LNs retrieved was significantly greater in Group A than in group B (40 vs. 24). No statistically significant difference in operative time was observed. Conclusions: ICG-guided fluorescent lymphography can help in performing a more accurate locoregional lymphadenectomy during robotic subtotal gastrectomy for gastric cancer. This technique represents a precious contribution to gastric cancer surgery. |
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MeSH term(s) | Gastrectomy ; Humans ; Indocyanine Green ; Lymph Node Excision ; Lymph Nodes/diagnostic imaging ; Lymph Nodes/surgery ; Robotic Surgical Procedures ; Stomach Neoplasms/surgery |
Chemical Substances | Indocyanine Green (IX6J1063HV) |
Language | English |
Publishing date | 2021-01-15 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2151860-9 |
ISSN | 1478-596X ; 1478-5951 |
ISSN (online) | 1478-596X |
ISSN | 1478-5951 |
DOI | 10.1002/rcs.2213 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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