Cargando…
Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer
BACKGROUND: Patients with cT1-2 colon cancer (CC) have a 10–20% risk of lymph node metastases. Sentinel lymph node identification (SLNi) could improve staging and reduce morbidity in future organ-preserving CC surgery. This pilot study aimed to assess safety and feasibility of robot-assisted fluores...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615938/ https://www.ncbi.nlm.nih.gov/pubmed/37721591 http://dx.doi.org/10.1007/s00464-023-10394-2 |
_version_ | 1785129290569875456 |
---|---|
author | Sikkenk, Daan J. Sterkenburg, Andrea J. Burghgraef, Thijs A. Akol, Halil Schwartz, Matthijs P. Arensman, René Verheijen, Paul M. Nagengast, Wouter B. Consten, Esther C. J. |
author_facet | Sikkenk, Daan J. Sterkenburg, Andrea J. Burghgraef, Thijs A. Akol, Halil Schwartz, Matthijs P. Arensman, René Verheijen, Paul M. Nagengast, Wouter B. Consten, Esther C. J. |
author_sort | Sikkenk, Daan J. |
collection | PubMed |
description | BACKGROUND: Patients with cT1-2 colon cancer (CC) have a 10–20% risk of lymph node metastases. Sentinel lymph node identification (SLNi) could improve staging and reduce morbidity in future organ-preserving CC surgery. This pilot study aimed to assess safety and feasibility of robot-assisted fluorescence-guided SLNi using submucosally injected indocyanine green (ICG) in patients with cT1-2N0M0 CC. METHODS: Ten consecutive patients with cT1-2N0M0 CC were included in this prospective feasibility study. Intraoperative submucosal, peritumoral injection of ICG was performed during a colonoscopy. Subsequently, the near-infrared fluorescence ‘Firefly’ mode of the da Vinci Xi robotic surgical system was used for SLNi. SLNs were marked with a suture, after which a segmental colectomy was performed. The SLN was postoperatively ultrastaged using serial slicing and immunohistochemistry, in addition to the standard pathological examination of the specimen. Colonoscopy time, detection time (time from ICG injection to first SLNi), and total SLNi time were measured (time from the start of colonoscopy to start of segmental resection). Intraoperative, postoperative, and pathological outcomes were registered. RESULTS: In all patients, at least one SLN was identified (mean 2.3 SLNs, SLN diameter range 1–13 mm). No tracer-related adverse events were noted. Median colonoscopy time was 12 min, detection time was 6 min, and total SLNi time was 30.5 min. Two patients had lymph node metastases present in the SLN, and there were no patients with false negative SLNs. No patient was upstaged due to ultrastaging of the SLN after an initial negative standard pathological examination. Half of the patients unexpectedly had pT3 tumours. CONCLUSIONS: Robot-assisted fluorescence-guided SLNi using submucosally injected ICG in ten patients with cT1-2N0M0 CC was safe and feasible. SLNi was performed in an acceptable timespan and SLNs down to 1 mm were detected. All lymph node metastases would have been detected if SLN biopsy had been performed. |
format | Online Article Text |
id | pubmed-10615938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106159382023-11-01 Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer Sikkenk, Daan J. Sterkenburg, Andrea J. Burghgraef, Thijs A. Akol, Halil Schwartz, Matthijs P. Arensman, René Verheijen, Paul M. Nagengast, Wouter B. Consten, Esther C. J. Surg Endosc Article BACKGROUND: Patients with cT1-2 colon cancer (CC) have a 10–20% risk of lymph node metastases. Sentinel lymph node identification (SLNi) could improve staging and reduce morbidity in future organ-preserving CC surgery. This pilot study aimed to assess safety and feasibility of robot-assisted fluorescence-guided SLNi using submucosally injected indocyanine green (ICG) in patients with cT1-2N0M0 CC. METHODS: Ten consecutive patients with cT1-2N0M0 CC were included in this prospective feasibility study. Intraoperative submucosal, peritumoral injection of ICG was performed during a colonoscopy. Subsequently, the near-infrared fluorescence ‘Firefly’ mode of the da Vinci Xi robotic surgical system was used for SLNi. SLNs were marked with a suture, after which a segmental colectomy was performed. The SLN was postoperatively ultrastaged using serial slicing and immunohistochemistry, in addition to the standard pathological examination of the specimen. Colonoscopy time, detection time (time from ICG injection to first SLNi), and total SLNi time were measured (time from the start of colonoscopy to start of segmental resection). Intraoperative, postoperative, and pathological outcomes were registered. RESULTS: In all patients, at least one SLN was identified (mean 2.3 SLNs, SLN diameter range 1–13 mm). No tracer-related adverse events were noted. Median colonoscopy time was 12 min, detection time was 6 min, and total SLNi time was 30.5 min. Two patients had lymph node metastases present in the SLN, and there were no patients with false negative SLNs. No patient was upstaged due to ultrastaging of the SLN after an initial negative standard pathological examination. Half of the patients unexpectedly had pT3 tumours. CONCLUSIONS: Robot-assisted fluorescence-guided SLNi using submucosally injected ICG in ten patients with cT1-2N0M0 CC was safe and feasible. SLNi was performed in an acceptable timespan and SLNs down to 1 mm were detected. All lymph node metastases would have been detected if SLN biopsy had been performed. Springer US 2023-09-18 2023 /pmc/articles/PMC10615938/ /pubmed/37721591 http://dx.doi.org/10.1007/s00464-023-10394-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sikkenk, Daan J. Sterkenburg, Andrea J. Burghgraef, Thijs A. Akol, Halil Schwartz, Matthijs P. Arensman, René Verheijen, Paul M. Nagengast, Wouter B. Consten, Esther C. J. Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title | Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title_full | Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title_fullStr | Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title_full_unstemmed | Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title_short | Robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
title_sort | robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615938/ https://www.ncbi.nlm.nih.gov/pubmed/37721591 http://dx.doi.org/10.1007/s00464-023-10394-2 |
work_keys_str_mv | AT sikkenkdaanj robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT sterkenburgandreaj robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT burghgraefthijsa robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT akolhalil robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT schwartzmatthijsp robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT arensmanrene robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT verheijenpaulm robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT nagengastwouterb robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer AT constenesthercj robotassistedfluorescentsentinellymphnodeidentificationinearlystagecoloncancer |