Sentinel-lymph-node mapping with indocyanine green in robotic-assisted laparoscopic surgery for early endometrial cancer: a retrospective analysis.

Gynecological malignancy indocyanine green lymphadenectomy robotic surgery surgical staging

Journal

Facts, views & vision in ObGyn
ISSN: 2032-0418
Titre abrégé: Facts Views Vis Obgyn
Pays: Belgium
ID NLM: 101578773

Informations de publication

Date de publication:
27 Mar 2020
Historique:
entrez: 24 4 2020
pubmed: 24 4 2020
medline: 24 4 2020
Statut: epublish

Résumé

The therapeutic value of lymphadenectomy in early stage endometrial cancer (EC) is still debated. Sentinel-lymph-node identified with indocyanine green (ICG) can replace lymphadenectomy in the staging of endometrial cancer minimizing the potential morbidity of a complete lymphadenectomy. The aim of this study was to analyze our initial experience using indocyanine green for sentinel-lymph-node mapping in a minimally robotic-assisted laparoscopic approach with Da Vinci XI near-infrared (NIR) fluorescence imaging system. A total of 23 patients who underwent robot-assisted laparoscopic surgery with the Da Vinci Xi Surgical System (Intuitive Surgical, Sunnyvale, CA, USA) with NIR imaging and ICG fluorescence detection for early stage EC were retrospectively analyzed. Sentinel-lymph-node mapping was achieved in 18 patients for a detection rate of 78.26%, bilateral pelvic detection was possible in 14 patients (60.9%) and no sentinel-lymph-node mapping was noted in 4 patients (17.4%). We compared 11 patients (Group 1) at intermediate and high- risk of recurrence who underwent sentinel-lymph- node mapping and pelvic lymphadenectomy and 12 patients (Group 2) at low risk of recurrence who underwent only sentinel-lymph-node mapping. A statistically significant difference was found for the average operation time and for the hospital stays. The high detection rate, absence of intraoperative or postoperative complications, the short time required for mapping and removal of the sentinel-lymph-nodes and the short duration of the hospital stay, support performing sentinel-lymph-node in all women with early endometrial cancer.

Sections du résumé

BACKGROUND BACKGROUND
The therapeutic value of lymphadenectomy in early stage endometrial cancer (EC) is still debated. Sentinel-lymph-node identified with indocyanine green (ICG) can replace lymphadenectomy in the staging of endometrial cancer minimizing the potential morbidity of a complete lymphadenectomy. The aim of this study was to analyze our initial experience using indocyanine green for sentinel-lymph-node mapping in a minimally robotic-assisted laparoscopic approach with Da Vinci XI near-infrared (NIR) fluorescence imaging system.
METHODS METHODS
A total of 23 patients who underwent robot-assisted laparoscopic surgery with the Da Vinci Xi Surgical System (Intuitive Surgical, Sunnyvale, CA, USA) with NIR imaging and ICG fluorescence detection for early stage EC were retrospectively analyzed.
RESULTS RESULTS
Sentinel-lymph-node mapping was achieved in 18 patients for a detection rate of 78.26%, bilateral pelvic detection was possible in 14 patients (60.9%) and no sentinel-lymph-node mapping was noted in 4 patients (17.4%). We compared 11 patients (Group 1) at intermediate and high- risk of recurrence who underwent sentinel-lymph- node mapping and pelvic lymphadenectomy and 12 patients (Group 2) at low risk of recurrence who underwent only sentinel-lymph-node mapping. A statistically significant difference was found for the average operation time and for the hospital stays.
CONCLUSIONS CONCLUSIONS
The high detection rate, absence of intraoperative or postoperative complications, the short time required for mapping and removal of the sentinel-lymph-nodes and the short duration of the hospital stay, support performing sentinel-lymph-node in all women with early endometrial cancer.

Identifiants

pubmed: 32322828
pmc: PMC7162666

Types de publication

Journal Article

Langues

eng

Pagination

323-328

Informations de copyright

Copyright © 2019 Facts, Views & Vision.

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Auteurs

V Cela (V)

Department of Experimental and Clinical Medicine, Division of Obstetrics and Gynecology, University of Pisa, Pisa, Italy.

C Sergiampietri (C)

Department of Experimental and Clinical Medicine, Division of Obstetrics and Gynecology, University of Pisa, Pisa, Italy.

M E Rosa Obino (ME)

Department of Experimental and Clinical Medicine, Division of Obstetrics and Gynecology, University of Pisa, Pisa, Italy.

G Bifulco (G)

Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy.

P Giovanni Artini (P)

Department of Experimental and Clinical Medicine, Division of Obstetrics and Gynecology, University of Pisa, Pisa, Italy.

F Papini (F)

Department of Experimental and Clinical Medicine, Division of Obstetrics and Gynecology, University of Pisa, Pisa, Italy.

Classifications MeSH