Da Vinci robot-assisted endoscopic full-thickness gastric resection with regional lymph node dissection using a 3D near-infrared video system: a single-center 5-year clinical outcome.
Surg Endosc
; 38(4): 2124-2133, 2024 Apr.
Article
en En
| MEDLINE
| ID: mdl-38443502
ABSTRACT
BACKGROUND:
Endoscopic full-thickness gastric resection (EFTGR) with regional lymph node dissection (LND) has been used for early gastric cancer (EGC) exceeding the indications for endoscopic submucosal dissection (ESD). The extent of the dissected lymph nodes is crucial. A 3D near-infrared (NIR) video robot system significantly enhances visualization of the lymphatic system. However, this system has not been used in EFTGR with LND. Thus, this study assessed the benefits of the 3D NIR video robot system in a clinical setting.METHODS:
Between February 2015 and September 2018, 24 patients with EGC exceeding the indications for ESD were treated with EFTGR and LND using a 3D NIR video system with the da Vinci surgical robot. Indocyanine green (ICG) was injected endoscopically around the tumor, and basin node (BN) dissection around the nodes was examined using the 3D NIR video system of the da Vinci Si surgical robot. Subsequently, robot-assisted EFTGR was performed. The primary outcome was the 5-year survival rate.RESULT:
During a 5-year follow-up of all 24 patients, an 80-year-old patient with an ulcer and T2 invasion was lost to follow-up. Among the remaining 23 patients, no mortality or recurrence was observed.CONCLUSION:
No metastasis or mortality occurred using the da Vinci robot-assisted EFTGR with LLND and a 3D NIR video system for patients who required radical gastrectomy for EGC in over 5 years. Hence, this may be a safe and effective method for radical gastrectomy; further studies are required confirming its effectiveness.Palabras clave
Texto completo:
1
Colección:
01-internacional
Asunto principal:
Neoplasias Gástricas
/
Robótica
/
Resección Endoscópica de la Mucosa
Límite:
Aged80
/
Humans
Idioma:
En
Revista:
Surg Endosc
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
GASTROENTEROLOGIA
Año:
2024
Tipo del documento:
Article